Podcasts about talk python training

On today's episode, we're going to talk Python. Host Eric Chou is joined by Michael Kennedy,  the founder of Talk Python Training and host of the Talk Python To Me podcast. The discussion covers the evolution of Michael’s podcast and training business, the impact of platforms like TikTok on learning, and the importance of community... Read more »

On today's episode, we're going to talk Python. Host Eric Chou is joined by Michael Kennedy,  the founder of Talk Python Training and host of the Talk Python To Me podcast. The discussion covers the evolution of Michael’s podcast and training business, the impact of platforms like TikTok on learning, and the importance of community... Read more »

If you are listening to this show, you have likely heard of a programming language called Python. And if you are a Python developer, you've likely heard of a podcast dedicated to this programming language - Talk Python To Me. It was started by none other than Michael Kennedy, a Python Software Foundation fellow who managed to turn his expertise into a viable bootstrapped business. In this show, we talk about ways to plan a training business from scratch, what tactics worked best to grow a podcast audience, and how to make sure that you have a viable idea before you quit your day job.

Topics covered in this episode: uv under discussion on Mastodon erdantic: Entity Relationship Diagrams Extra, Extra, Extra Django Extra, Extra, Extra Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: uv under discussion on Mastodon It's interesting that uv is slightly controversial Russell: As enthusiastic as I am about the direction uv is going, I haven't adopted them anywhere - because I want very much to understand Astral's intended business model before I hook my wagon to their tools. Hynek: As much as I hate VC, [...] FOSS projects flame out all the time too. … To me uv looks like a genius sting to trick VCs into paying to fix packaging. We'll be better off either way. Glyph: Rust is more expensive and difficult to maintain, not to mention "non-native" to the average customer here. … it can burn out all the other projects in the ecosystem simultaneously, creating a risk of monoculture Hynek on Rust: I don't think y'all quite grok what uv makes so special due to your seniority. The speed is really cool, but the reason Rust is elemental is that it's one compiled blob that can be used to bootstrap and maintain a Python development. Christopher Neugebauer: Just dropping in here to say that corporate capture of the Python ecosystem is the #1 keeps-me-up-at-night subject in my community work, so I watch Astral with interest, even if I'm not yet too worried. Armin Ronacher What uv is doing, even in the worst possible future this is a very forkable and maintainable thing. Finally, see the comment at the end by Charlie Marsh Brian #2: erdantic: Entity Relationship Diagrams “erdantic is a simple tool for drawing entity relationship diagrams (ERDs) for Python data model classes. Diagrams are rendered using the venerable Graphviz library.” Supported data modeling frameworks are: Pydantic V2 Pydantic V1 legacy attrs dataclasses Michael #3: Extra, Extra, Extra Added Python Bytes Search as a custom search engine. Along came passkeys. A cool idea that quickly turned evil. Follow up from post and my conversation last week: vaultwarden (via Pablo) uv publish Trying the tabs on bottom lifestyle inspired by Arc Adding Python Bytes (and Talk Python) as custom search engines. PyCon 2025 dates: From 14 May through 22 May, 2025 Brian #4: Django Extra, Extra, Extra Django Project Ideas Evgenia Verbina Project ideas with list of tech stack stuff you'll learn and/or work on with the project Ex: Recipe organizer tech stack: Django templates, Django ORM, Optional JavaScript “Familiarize yourself with Django's ORM (object-relational mapper) and database support by building an app to keep track of your favorite recipes. Add a web-based frontend with options to filter recipes by category, ingredients, and user ratings so you can easily browse for inspiration.” DjangoTV Jeff Triplett Django conference videos and tutorials. Django Commons Heard about from Lacey Henschel “Django Commons is an organization dedicated to supporting the community's efforts to maintain packages. It seeks to improve the maintenance experience for all contributors; reducing the barrier to entry for new contributors and reducing overhead for existing maintainers.” Django 5 has simplified templates for better form field rendering But if you want a completely different take on forms, maybe try iommi forms They wrote about it on Why we wrote a new form library for Django Djade: a Django template formatter Adam Johnson Like black or ruff, but for Django templates. Extras Brian: The Open Source Project Maintainer's Guide Suggested by Rafael Weingartner Joke: A Machine Learning algorithm walks into a bar…

Topics covered in this episode: Why I Still Use Python Virtual Environments in Docker Python Developer Survey Results Anaconda Code add-in for Microsoft Excel Disabling Scheduled Dependency Updates Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through Our courses at Talk Python Training Hello, pytest! Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: Why I Still Use Python Virtual Environments in Docker by Hynek Schlawack I was going to cover Production-ready Docker Containers with uv but decided to take this diversion instead. Spend a lot of time thinking about the secondary effects of what you do. venvs are well known and well documented. Let's use them. Brian #2: Python Developer Survey Results “… official Python Developers Survey, conducted as a collaborative effort between the Python Software Foundation and JetBrains.” Python w/ Rust rising, but still only 7% ““The drop in HTML/CSS/JS might show that data science is increasing its share of Python.” - Paul Everitt 37% contribute to open source. Awesome. Favorite Resources: Podcasts Lots of familiar faces there. Awesome. Perhaps I shouldn't have decided to move “Python Test” back to Test & Code Usage “Data analysis” down, but I think that's because “data engineering” is added. Data, Web dev, ML, devops, academic, Testing is down 23% Python Versions Still some 2 out there Most folks on 3.10-3.12 Install from: mostly python.org Frameworks web: Flask, Django, Requests, FastAPI … testing: pytest, unittest, mock, doctest, tox, hypothesis, nose (2% might be the Python 2 people) Data science 77% use pandas, 72% NumPy OS: Windows still at 55% Packaging: venv up to 55% I imaging uv will be on the list next year requirements.txt 63%, pyproject.toml 32% virtual env in containers? 47% say no Michael #3: Anaconda Code add-in for Microsoft Excel Run their Python-powered projects in Excel locally with the Anaconda Code add-in Powered by PyScript, an Anaconda supported open source project that runs Python locally without install and setup Features Cells Run Independently Range to Multiple Types init.py file is static and cannot be edited, with Anaconda Code, users have the ability to access and edit imports and definitions, allowing you to write top-level functions and classes and reuse them wherever you need. A Customizable Environment Brian #4: Disabling Scheduled Dependency Updates David Lord Interesting discussion of as they happen or batching of upsates to dependencies dependencies come in requirements files GH Actions in CI workflows pre-commit hooks David was seeing 60 PRs per month when set up on monthly updates (3 ecosystems * 20 projects) new tool for updating GH actions: gha-update, allows for local updating of GH dependencies New process Run pip-compile, gha-update, and pre-commit locally. Update a project's dependencies when actively working on the project, not just whenever a dependency updates. Note that this works fine for dev dependencies, less so for security updates from run time dependencies. But for libraries, runtime dependencies are usually not pinned. Extras Brian: Test & Code coming back this week Michael: Code in a Castle event Python Bytes badge spotting Guido's post removed for moderation Joke: C will watch in silence

Topics covered in this episode: Open Source Myths uv 0.3.0 and all the excitement Top pytest Plugins A comparison of hosts / providers for Python serverless functions (aka Faas) Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training pytest courses and community at PythonTest.com Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: Open Source Myths Josh Bressers Mastodon post kicking off a list of open source myths Feedback and additional myths compiled to a doc Some favorites All open source developers live in Nebraska It's all run by hippies Everything is being rewritten in rust Features are planned If the source code is available, it's open source A project with no commits for 12 months is abandoned Many eyes make all bugs shallow Open source has worse UX Open source has better UX Open source makes you rich Michael #2: uv 0.3.0 and all the excitement Thanks to Skyler Kasko and John Hagen for the emails. Additional write up by Simon Willison Additional write up by Armin Ronacher End-to-end project management: uv run, uv lock, and uv sync Tool management: uv tool install and uv tool run (aliased to uvx) Python installation: uv python install Script execution: uv can now manage hermetic, single-file Python scripts with inline dependency metadata based on PEP 723. Brian #3: Top pytest Plugins Inspired by (and assisted by) Hugo's Top PyPI Packages Write up for Finding the top pytest plugins BTW, pytest-check has made it to 25. Same day, Jeff Triplett throws my code into Claude 3.5 Sonnet and refactors it Thanks Jeff Triplett & Hugo for answering how to add Summary and other info Michael #4: A comparison of hosts / providers for Python serverless functions (aka Faas) Nice feature matrix of all the options, frameworks, costs, and more The WASM ones look particularly interesting to me. Extras Brian: When is the next live episode of Python Bytes? - via arewemeetingyet.com Thanks to Hugo van Kemenade Some more cool projects by Hugo Python Logos PyPI Downloads by Python version for various Python tools, in pretty colors Python Core Developers over time Michael: Code in a Castle Course event - just a couple of weeks left Ladybird: A truly independent browser “I'm also interested in your video recording setup, would be nice to have that in the extras too :D” OBS Studio Elgato Streamdeck Elgato Key light DaVinci Resolve Joke: DevOps Support Group via Blaise Hi, my name is Bob Group: Hi Bob I's been 42 days since I last ssh'd into production. Group: Applause But only 4 days since I accidentally took down the website Someone in back: Oh Bob…

Topics covered in this episode: pyawaitable Annotated area charts with plotnine DeltaDB PyCon US 2024 Recap + Videos are up Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: pyawaitable CPython API for asynchronous functions. by Peter Bierma It was originally designed to be directly part of CPython - you can read the scrapped PEP about it. Since this library only uses the public ABI, it's better fit outside of CPython, as a library. Brian #2: Annotated area charts with plotnine Nicola Rennie This is a marvelous, very professional looking plot, and a tutorial for how to achieve it. Uses plotline, which is “.. an implementation of a grammar of graphics in Python based on ggplot2” I actually didn't know the gg in ggplot came from “grammar of graphics”. TIL Michael #3: DeltaDB A lightweight, comprehensive solution for managing delta tables built on polars and deltalake. Deltalake: Delta Lake is an open-source storage format that runs on top of existing data lakes. Polars: Dataframes powered by a multithreaded, vectorized query engine, written in Rust (aka fluent, rust-based pandas) See the docs. Brian #4: PyCon US 2024 Recap + Videos are up 95 countries attended total attendance of 2,991 2,551 in person 440 remote Videos available PyConUS I recommend Playlist → 2024 → view full playlist, as it's easier to see the talk titles. I've got Paul Gannsle's pytest for unittesters and Amitosh Swain's Testing Data Pipelines queued up Extras Brian: Hello, pytest! course available as of last Friday. Now the fastest way to get started using pytest. 16 lessons (really 12 + intro, outro, code download, pytest flag cheat sheet) The whole shebang is about 90 min. (faster if you bump up the video speed. :) Michael: Cutting back on digital distractions, trying Dumb Phone for iPhone. See screenshot Code in a Castle Event Joke: The Tao of Programming: 4.3 A master was explaining the nature of Tao of to one of his novices, "The Tao is embodied in all software -- regardless of how insignificant," said the master. "Is the Tao in a hand-held calculator?" asked the novice. "It is," came the reply. "Is the Tao in a video game?" continued the novice. "It is even in a video game," said the master. "And is the Tao in the DOS for a personal computer?" The master coughed and shifted his position slightly. "The lesson is over for today," he said.

Topics covered in this episode: py-free-threading.github.io Python's Supportive and Welcoming Environment is Tightly Coupled to Its Progress Status pages for sites! PEP 751 – A file format to list Python dependencies for installation reproducibility Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: py-free-threading.github.io Track the status of compatibility for free-threaded Python See the Compatibility status tracking page for what you can use Lots of resources for getting your package tested and available for pythont Brian #2: Python's Supportive and Welcoming Environment is Tightly Coupled to Its Progress “Python is as popular as it is today because we have gone above and beyond to make this a welcoming community. Being a friendly and supportive community is part of how we are perceived by the wider world and is integral to the wide popularity of Python. We won a “Wonderfully Welcoming Award” last year at GitHub Universe. Over and over again, the tech press refers to Python as a supportive community.” Some communication recently, with the recent bylaws change, didn't live up to our promise to be welcoming Please read the article for more details. Another quote: “We have a moral imperative – as one of the very best places to bring new people into tech and into open source – to keep being good at welcoming new people. If we do not rise and continue to rise every day to this task, then we are not fulfilling our own mission, “to support and facilitate the growth of a diverse and international community of Python programmers.” Technical skills are a game-changer for the people who acquire them and joining a vast global network of people with similar interests opens many doors. Behavior that contributes to a hostile environment around Python or throws up barriers and obstacles to those who would join the Python community must be addressed because it endangers what we have built here.” Michael #3: Status pages for sites! Based on Uptime Kuma I covered last week Python Bytes status Talk Python status Brian #4: PEP 751 – A file format to list Python dependencies for installation reproducibility Brett Cannon Motivation Currently, no standard exists to: Specify what top-level dependencies should be installed into a Python environment. Create an immutable record, such as a lock file, of which dependencies were installed. Considering there are at least five well-known solutions to this problem in the community (pip freeze, pip-tools, uv, Poetry, and PDM), there seems to be an appetite for lock files in general. Rationale The format is designed so that a locker which produces the lock file and an installer which consumes the lock file can be separate tools. … The file format is designed to be human-readable. …Finally, the format is designed so that viewing a diff of the file is easy by centralizing relevant details. The file format is also designed to not require a resolver at install time. … Extras Brian: Hello, pytest! course is going well, and is purchasable as in pre-release mode. Planning on Aug 19 (or before) deadline. Not sure what the final price will be, but I'm starting with $10. I want people to want to watch it even just so see if they want to recommend to co-workers so the people around them can ramp up on pytest quickly. Michael: Mypy 1.11 Released FastHTML (more next week) Coming up on the final chance to be part of the Code in a Castle event. Joke: Open source OpenAI?

Topics covered in this episode: Marimo: “Future of Notebooks” pytest 8.3.0 & 8.3.1 are out Python Language Summit 2024 bash-dungeon Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: Marimo: “Future of Notebooks” via Matt Wilkie An open-source reactive notebook for Python Run one cell and marimo reacts by automatically running affected cells, eliminating the error-prone chore of managing notebook state. Marimo's reactive UI elements, like dataframe GUIs and plots, make working with data feel refreshingly fast, futuristic, and intuitive. Rapidly experiment with code and models Bind UI elements to Python values Pick-up-and-play design, with depth for power users See the FAQ Brian #2: pytest 8.3.0 & 8.3.1 are out Real excited to get --xfail-tb flag added This detaches xfail tracebacks from -rx/-ra (which was how it was pre-8.0) Keyword matching for marker expressions, that's fun. pytest -v -m "device(serial='123')" --no-fold-skipped allows for explit reporting of names of skipped tests Plus many more improvements, bug fixes, and doc improvements Michael #3: Python Language Summit 2024 Should Python adopt Calendar Versioning?: talk by Hugo van Kemenade Python's security model after the xz-utils backdoor: talk by Pablo Galindo Salgado Native Interface and Limited C API: talks by Petr Viktorin and Victor Stinner Free-threading ecosystems: talk by Daniele Parmeggiani Python on Mobile: talk by Malcolm Smith PyREPL -- New default REPL written in Python: talk by Pablo Galindo Salgado, Łukasz Langa, and Lysandros Nikolaou Should we make pdb better?: talk by Tian Gao Limiting yield in async generators: talk by Zac Hatfield-Dodds Annotations as Transforms: talk by Jason R. Coombs Lightning Talks, featuring talks by Petr Viktorin, David Hewitt, Emily Morehouse, Łukasz Langa, Pablo Galindo Salgado, and Yury Selivanov Brian #4: bash-dungeon “This game is intended to teach new users how to use their shell in a fun and interactive way.” Just clone the repo and start exploring with cd, ls, and cat. First moves cd bash-dungeon ls cd Enter ls cat parchment A fun way to learn some commands you might need and/or might have forgotten about. Extras Brian: Python 3.12.0b4, final beta, is out If hanging out on discuss.python.org, please checkout Community Guidelines And if it's still not clear why we need these, check out Inclusive communications expectations in Python spaces Google Chrome news Michael: PySimpleGUI goes commercial with obfuscated “source open”? Still have seats for Code in a Castle event Reactive Dashboards with Shiny for Python free course Joke: 40 Million in in Series A Funding - may be a lot of reading, but I found it funny Thanks to VM Brasseur for sharing this one. Also a few from pyjokes 0.7.2 (first new version since 2019) If at first you don't succeed, call it version 1.0. A product manager walks into a bar, asks for drink. Bartender says no, but will consider adding later. Triumphantly, Beth removed Python 2.7 from her server in 2030. 'Finally!' she said with glee, only to see the announcement for Python 4.4.1 Although, if CalVer, PEP 2026, happens, that'll just be Python 3.30.0.

Topics covered in this episode: PSF Elections coming up Cloud engineer gets 2 years for wiping ex-employer's code repos Python: Import by string with pkgutil.resolve_name() DuckDB goes 1.0 Extras Joke Watch on YouTube About the show Sponsored by ScoutAPM: pythonbytes.fm/scout Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: PSF Elections coming up This is elections for the PSF Board and for 3 bylaw changes. To vote in the PSF election, you need to be a Supporting, Managing, Contributing, or Fellow member of the PSF, … And affirm your voting status by June 25. See Affirm your PSF Membership Voting Status for more details. Timeline Board Nominations open: Tuesday, June 11th, 2:00 pm UTC Board Nominations close: Tuesday, June 25th, 2:00 pm UTC Voter application cut-off date: Tuesday, June 25th, 2:00 pm UTC same date is also for voter affirmation. Announce candidates: Thursday, June 27th Voting start date: Tuesday, July 2nd, 2:00 pm UTC Voting end date: Tuesday, July 16th, 2:00 pm UTC See also Thinking about running for the Python Software Foundation Board of Directors? Let's talk! There's still one upcoming office hours session on June 18th, 12 PM UTC And For your consideration: Proposed bylaws changes to improve our membership experience 3 proposed bylaws changes Michael #2: Cloud engineer gets 2 years for wiping ex-employer's code repos Miklos Daniel Brody, a cloud engineer, was sentenced to two years in prison and a restitution of $529,000 for wiping the code repositories of his former employer in retaliation for being fired. The court documents state that Brody's employment was terminated after he violated company policies by connecting a USB drive. Brian #3: Python: Import by string with pkgutil.resolve_name() Adam Johnson You can use pkgutil.resolve_name("[HTML_REMOVED]:[HTML_REMOVED]")to import classes, functions or modules using strings. You can also use importlib.import_module("[HTML_REMOVED]") Both of these techniques are so that you have an object imported, but the end thing isn't imported into the local namespace. Michael #4: DuckDB goes 1.0 via Alex Monahan The cloud hosted product @MotherDuck also opened up General Availability Codenamed "Snow Duck" The core theme of the 1.0.0 release is stability. Extras Brian: Sending us topics. Please send before Tuesday. But any time is welcome. NumPy 2.0 htmx 2.0.0 Michael: Get 6 months of PyCharm Pro for free. Just take a course (even a free one) at Talk Python Training. Then visit your account page > details tab and have fun. Coming soon at Talk Python: Shiny for Python Joke: .gitignore thoughts won't let me sleep

Topics covered in this episode: NumFOCUS concerns leaping pytest debugger llm Extra, Extra, Extra, PyPI has completed its first security audit Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: NumFOCUS concerns Suggested by Pamphile Roy Write up of the current challenges faced by NumFOCUS, by Paul Ivanov (one of the OG of Scientific Python: Jupyter, Matplotlib, etc.) Struggling to meet the needs of sponsored and affiliated projects. In February, NumFOCUS announced it is moving in a new direction. NumFOCUS initiated an effort to run an election for open board seats and proposed changing its governance structure. Some projects are considering and actively pursuing alternative venues for fiscal sponsorship. Quite a bit more detail and discussion in the article. NumFOCUS covers a lot of projects NumPy, Matplotlib, pandas, Jupyter, SciPy, Astropy, Bokeh, Dask, Conda, and so many more. Michael #2: leaping pytest debugger llm You can ask Leaping questions like: Why am I not hitting function x? Why was variable y set to this value? What was the value of variable x at this point? What changes can I make to this code to make this test pass? Brian #3: Extra, Extra, Extra, 2024 Developer Summit Also suggested by Pamphile, related to Scientific Python The Second Scientific Python Developer Summit , June 3-5, Seattle, WA Lots of great work came out of the First Summit in 2023 pytest-regex - Use regexs to specify tests to run Came out of the '23 summit I'm not sure if I'm super happy about this or a little afraid that I probably could use this. Still, cool that it's here. Cool short example of using __init__ and __call__ to hand-roll a decorator. ruff got faster Michael #4: PyPI has completed its first security audit Trail of Bits spent a total of 10 engineer-weeks of effort identifying issues, presenting those findings to the PyPI team, and assisting us as we remediated the findings. Scope: The audit was focused on "Warehouse", the open-source codebase that powers pypi.org As a result of the audit, Trail of Bits detailed 29 different advisories discovered across both codebases. When evaluating severity level of each advisory, 14 were categorized as "informational", 6 as "low", 8 as "medium" and zero as "high". Extras Brian: pytest course community to try out Podia Communities. Anyone have a podia community running strong now? If so, let me know through Mastodon: @brianokken@fosstodon.org Want to join the community when it's up and running? Same. Or join our our friends of the show list, and read our newsletter. I'll be sure to drop a note in there when it's ready. Michael: VS Code AMA @ Talk Python [video] Gunicorn CVE Talk submissions are now open for both remote and in-person talks at the 2024 PyConZA? The conference will be held on 3 and 4 October 2024 in Cape Town, South Africa. Details are on za.pycon.org. FlaskCon 2024 will be happening Friday, May 17 inside PyCon US 2024. Call for proposals are now live! Joke: Debugging with your eyes

Topics covered in this episode: How to Set Up Pre-Commit Hooks A step-by-step guide to installing and configuring pre-commit hooks on your project. difftastic Quarto constable Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: How to Set Up Pre-Commit Hooks A step-by-step guide to installing and configuring pre-commit hooks on your project. by Stefanie Molin Pre-commit hooks are code checks that run as part of the “pre-commit” stage of the git commit process. If any of these checks fail, git aborts the commit Sometimes, we need to bypass the hooks temporarily. For these instances, we can pass the --no-verify option when we run git commit Brian #2: difftastic Found this a couple years ago, but really using it a lot now. Excellent structurally diff tool that compares code based on syntax, not line by line. Michael #3: Quarto via Mathias Johansson An open-source scientific and technical publishing system Transforming a notebook into a pdf / HTML / MS Word / ePub with minimal effort, or even all formats at once. Author using Jupyter notebooks or with plain text markdown in your favorite editor. Write using Pandoc markdown, including equations, citations, crossrefs, figure panels, callouts, advanced layout, and more. Brian #4: constable “inserts print statements directly into the AST at runtime “ “If you find yourself aimlessly adding print statements while debugging your code, this is for you. !” Add decorators like @constable.trace('a', 'b') to functions and you'll get nice output showing when and how a and b changed. see also icecream for another fun debugging with print project. Extras Brian: pointers being added to the standard library A couple weeks old, but still worth covering Guido's take on adding this, "Why the hell not?" Michael: Python 3.12.3 is out Joke: Hugo SciFi Award

Topics covered in this episode: pacemaker - For controlling time per iteration loop in Python. PyPI suspends new user registration to block malware campaign Python Project-Local Virtualenv Management Redux Python Edge Workers at Cloudflare Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: pacemaker - For controlling time per iteration loop in Python. Brandon Rohrer Good example of a small bit of code made into a small package. With speedups to dependencies, like with uv, for example, I think we'll see more small projects. Cool stuff Great README, including quirks that need to be understood by users. “If the pacemaker experiences a delay, it will allow faster iterations to try to catch up. Heads up: because of this, any individual iteration might end up being much shorter than suggested by the pacemaker's target rate.” Nice use of time.monotonic() deltas are guaranteed to never go back in time regardless of what adjustments are made to the system clock. Watch out for pip install pacemaker-lite NOT pacemaker pacemaker is taken by a package named PaceMaker with a repo named pace-maker, that hasn't been updated in 3 years. Not sure if it's alive. No tests (yet). I'm sure they're coming. ;) Seriously though, Brandon says this is “a glorified snippet”. And I love the use of packaging to encapsulate shared code. Realistically, small snippet like packages have functionality that's probably going to be tested by end user code. And even if there are tests, users should test the functionality they are depending on. Michael #2: PyPI suspends new user registration to block malware campaign Incident Report for Python Infrastructure PyPi Is Under Attack: Project Creation and User Registration Suspended — Here's the details I hate medium, but it's the best details I've found so far Brian #3: Python Project-Local Virtualenv Management Redux Hynek Concise writeup of how Hynek uses various tools for dealing with environments Covers (paren notes are from Brian) In project .venv directories direnv for handling .envrc files per project (time for me to try this again) uv for pip and pip-compile functionality Installing Python via python.org Using a .python-version-default file (I'll need to play with this a bit) Works with GH Action setup-python. (ok. that's cool) Some fish shell scripting Bonus tip on using requires-python in .pyproject.toml and extracting it in GH actions to be able to get the python exe name, and then be able to pass it to Docker and reference it in a Dockerfile. (very cool) Michael #4: Python Edge Workers at Cloudflare What are edge workers? Based on workers using Pyodide and WebAssembly This new support for Python is different from how Workers have historically supported languages beyond JavaScript — in this case, we have directly integrated a Python implementation into workerd, the open-source Workers runtime. Python Workers can import a subset of popular Python packages including FastAPI, Langchain, numpy Check out the examples repo. Extras Michael: LPython follow up from Brian Skinn Featured on Python Bytes badge A little downtime, thanks for the understanding We were rocking a 99.98% uptime until then. :) Joke: C++ is not safe for people under 18 Baseball joke

Topics covered in this episode: Dokku Summary of Major Changes Between Python Versions How to check Internet Speed via Terminal? speedtest-cli Blogs: We all should blog more Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Michael #1: Dokku An open source PAAS alternative to Heroku. Dokku helps you build and manage the lifecycle of applications from building to scaling. Powered by Docker, you can install Dokku on any hardware. Once it's set up on a host, you can push Heroku-compatible applications to it via Git. Rich plug in architecture. Brian #2: Summary of Major Changes Between Python Versions Nicholas Hairs Changes between versions & Tools & utilities to help with switching Hopefully you're already at least at 3.8, but come on, 3.11 & 3.12 are so fun! Useful things pyupgrade can automatically upgrade code base (However, I frequently just upgrade and run tests and let my old code be as-is until it bugs me. - Brian) black checks pyproject.toml requires-python setting and uses version specific rules. Versions (way more highlights listed in the article) 3.8 Assignment expressions := walrus f"{variable=}" now works 3.9 Typing has built in generics like dict[], so no more from typing import Dict Dict union operator Strings can removeprefix and removesuffix 3.10 Structural pattern matching match/case Typing: Union using pipe | Dataclasses support slots=True and kw_only=True 3.11 tomllib included as a standard TOMP parser Exception groups Exception Notes add_note() Typing: A Self type Star unpacking expressions allowed in for statements: for x in *a, *b: 3.12 f-strings can re-use quotes Typing: better type parameter syntax Typing: @override decorator ensures a method being overridden by a child class actually exists. Michael #3: How to check Internet Speed via Terminal? speedtest-cli Command line interface for testing internet bandwidth using speedtest.net Just pipx install speedtest-cli Has a Python API too Brian #4: Blogs: We all should blog more Jeff Triplett is attempting one post per day in February Feb 1: Choosing the Right Python and Django Versions for Your Projects Feb 2: My First Mac Which also links to a quite interesting Personal: Default Apps 2023 Feb 3: What's Your Go-to Comfort Media? [rough cut] Feb 4: The Django apps I actually use (rough cut) Feb 5: How to test with Django and pytest fixtures Need ideas? Check out Build an idea bank and never run out of blog ideas Not using AI? Thanks. We appreciate that. Maybe tag it as Not By AI Extras Brian: If upgrading to pytest 8, be aware that running individual tests with parametrization will result in a reverse order. It shouldn't matter. You shouldn't be depending on test order. But it was surprising to me. Issue has been logged Michael: Orbstack follow up Joke: White Lies

Topics covered in this episode: Granian pytest 8 is here Assorted Docker Goodies New GitHub Copilot Research Finds 'Downward Pressure on Code Quality' Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Michael #1: Granian via Andy Shapiro and Bill Crook A Rust HTTP server for Python applications. Granian design goals are: Have a single, correct HTTP implementation, supporting versions 1, 2 (and eventually 3) Provide a single package for several platforms Avoid the usual Gunicorn + uvicorn + http-tools dependency composition on unix systems Provide stable performance when compared to existing alternatives Could use better logging But making my own taught me maybe I prefer that! Originates from the Emmett framework. Brian #2: pytest 8 is here Improved diffs: Very verbose -vv is a colored diff, instead of a big chunk of red. Python code in error reports is now syntax-highlighted as Python. The sections in the error reports are now better separated. Diff for standard library container types are improved. Added more comprehensive set assertion rewrites for comparisons other than equality ==, with the following operations now providing better failure messages: !=, =, . Improvements to -r for xfailures and xpasses Report tracebacks for xfailures when -rx is set. Report captured output for xpasses when -rX is set. For xpasses, add - in summary between test name and reason, to match how xfail is displayed. This one was important to me. Massively helps when checking/debugging xfail/xpass outcomes in CI. Thanks to Fabian Sturm, Bruno Oliviera, and Ran Benita for help to get this release. Lots of other improvements See full changelog for all the juicy details. And then upgrade and try it out! pip install -U pytest Michael #3: Assorted Docker Goodies OrbStack Say goodbye to slow, clunky containers and VMs OrbStack is the fast, light, and easy way to run Docker containers and Linux. Develop at lightspeed with our Docker Desktop alternative. Podman Podman is an open source container, pod, and container image management engine. Podman makes it easy to find, run, build, and share containers. Manage containers (not just Podman.) Podman Desktop allows you to list, view, and manage containers from multiple supported container engines* in a single unified view. Gain easy access to a shell inside the container, logs, and basic controls. Works on Podman, Docker, Lima, kind, Red Hat OpenShift, Red Hat OpenShift Developer Sandbox. CasaOS Your Personal Cloud OS. Community-based open source software focused on delivering simple personal cloud experience around Docker ecosystem. Also have the ZimaCube hardware (Personal cloud. Re-invented.) Brian #4: New GitHub Copilot Research Finds 'Downward Pressure on Code Quality' David Ramel Regarding “…the quality and maintainability of AI-assisted code compared to what would have been written by a human.” Q: "Is it more similar to the careful, refined contributions of a Senior Developer, or more akin to the disjointed work of a short-term contractor?" A: "We find disconcerting trends for maintainability. Code churn -- the percentage of lines that are reverted or updated less than two weeks after being authored -- is projected to double in 2024 compared to its 2021, pre-AI baseline. We further find that the percentage of 'added code' and 'copy/pasted code' is increasing in proportion to 'updated,' 'deleted,' and 'moved 'code. In this regard, AI-generated code resembles an itinerant contributor, prone to violate the DRY-ness [don't repeat yourself] of the repos visited." Extras Brian: Did I mention pytest 8? Just pip install -U pytest today And if you want to learn pytest super fast, check out The Complete pytest Course or grab a copy of the book, Python Testing with pytest Michael: I'd like to encourage people to join our mailing list. We have some fun plans and some of them involve our newsletter. It's super private, no third parties, no spam and is based on my recent Docker and Listmonk work. Big release for Pydantic, 2.6. New essay: Use Custom Search Engines Way More Joke: Pushing to main Junior vs Senior engineer

Topics covered in this episode: Syntax Error #11: Debugging Python umami and umami-analytics pytest-suite-timeout Listmonk and (py) listmonk Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Brian #1: Syntax Error #11: Debugging Python Juhis Issue 11 of a fun debugging newsletter from Juhis Debugging advice mindeset take a break adopt a process talk to a duck tools & techniques print snoop debuggers Django debug toolbar & Kolo for VS Code Michael #2: umami and umami-analytics Umami makes it easy to collect, analyze, and understand your web data — while maintaining visitor privacy and data ownership. umami-analytics is a client for privacy-preserving, open source Umami analytics platform based on httpx and pydantic. Core features ➕ Add a custom event to your Umami analytics dashboard.

Topics covered in this episode: Python 3.13 gets a JIT UniDep - Unified Conda and Pip Dependency Management Don't Start Pull Requests from Your Main Branch instld: The simplest package management Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Brian #1: Python 3.13 gets a JIT Anthony Shaw Great article that walks through JIT concepts with a small example as if you were writing a parser in Python instead of C. Covers What is a JIT? What is a copy-and-patch JIT? and Why? How does the Python JIT work? Is it faster? This is a building block to future improvements Michael #2: UniDep - Unified Conda and Pip Dependency Management

Are you early in your software dev or data science career? Maybe it hasn't even really started yet and you're still in school. On this episode we have Sydney Runkle who has had a ton of success in the Python space and she hasn't even graduated yet. We sit down to talk about what she's done and might do differently again to achieve that success. It's "The Young Coder's Blueprint to Success" on episode 444 of Talk Python To Me. Links from the show Sydney Runkle: linkedin.com Pydantic: pydantic.dev Code Combat: codecombat.com Humanitarian Toolbox: www.htbox.org PyCon 2024: pycon.org Good first issue example: github.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy --- Episode sponsors --- Talk Python Training

Special crossover episode of Python Bytes to wrap up 2023. Topics include: Michael #1: Hatch v1.8 Brian #2: svcs : A Flexible Service Locator for Python Michael #3: Steering Council 2024 Term Election Results Brian #4: Python protocols. When to use them in your projects to abstract and decoupling ExtrasJoke: Joke: The dream is dead? --- Episode sponsors --- Posit Talk Python Training

Topics covered in this episode: * Hatch v1.8* svcs: A Flexible Service Locator for Python Steering Council 2024 Term Election Results Python protocols. When to use them in your projects to abstract and decoupling Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Michael #1: Hatch v1.8 Hatch now manages installing Python for you. Hatch can build .app and .exe stand-alone binaries for you The macOS ones are signed (signed!) Discussion here Brian #2: svcs : A Flexible Service Locator for Python Hynek A library to help structure and test Python web applications. “svcs (pronounced services) is a dependency container* for Python. It gives you a central place to register factories for types/interfaces and then imperatively acquire instances of those types with automatic cleanup* and **health checks.” “Benefits: Eliminates tons of repetitive boilerplate code, unifies acquisition* and cleanups of services, provides full static type safety for them, simplifies testing through loose coupling, improves live introspection and monitoring* with **health checks.” Hynek has started a YouTube channel, and is starting with an explanation of svcs. Yes, Hynek, we want more videos. I like that it's not a beginner level. My request for future videos: just past beginner, and also intermediate level. There are plenty of basics videos out there, not as many filling the gaps between beginner and production. Michael #3: Steering Council 2024 Term Election Results The 2024 Term Python Steering Council is: Pablo Galindo Salgado Gregory P. Smith Emily Morehouse Barry Warsaw Thomas Wouters Full results are available in PEP 8105 . How do you become a candidate? Candidates must be nominated by a core team member. If the candidate is a core team member, they may nominate themselves. Brian #4: Python protocols. When to use them in your projects to abstract and decoupling Carlos Vecina “Protocols are an alternative (or a complement) to inheritance, abstract classes and Mixins.” Understanding interactions between ABC, MixIns and Protocols in Python With examples Extras Brian: Donations. It's a decent time of the year to donate to projects that help you Python Software Foundation Django Software Foundation Python Bytes Also, look for “Sponsor this project” links in GitHub for projects you depend on. Michael: Mastodon guidelines (mine): If you have a picture and description, I'll probably follow you back If you have posts that seem relevant +1 If you have a verified webpage +1 If your account is private, won't. I don't understand really since private group messages already exist and the profile itself is public. Speaking of Mastodon. I had a productive conversation with the PSF and others around masks and conferences. Dropbox spooks users by sending data to OpenAI for AI search features There was a comment in the above article to the effect of “Once you give your data to a third party (even trusted like Dropbox), you no longer control that data.” That sent me searching and thinking… sync.com? proton drive (discount code)? nextcloud? filen.io? icedrive.net? ownCloud's recent CVE makes me a bit nervous of self-hosted options. Either way, Cryptomator is very interesting. Beyond privacy, this got me thinking, just how many hours of dev time have been diverted to add mediocre-at-best AI features to everything? I'm doing a big digital decluttering and have lots to say on that soon. Not submitting my talks to PyCascades this year. But I did submit 3 talks to PyCon US.

If you're a fan of Pydantic or dataclasses, you'll definitely be interested in this episode. We are talking about a super fast data modeling and validation framework called msgspec. Some of the types in here might even be better for general purpose use than Python's native classes. Join me and Jim Crist-Harif to talk about his data exchange framework, mspspec. Links from the show Jim Crist-Harif: jcristharif.com Jim @ GitHub: github.com Jim @ Mastdon: @jcristharif@hachyderm.io msgspec: github.com Projects using msgspec: github.com msgspec on Conda Forge: anaconda.org msgspec on PyPI: pypi.org Litestar web framework: litestar.dev Litestar episode: talkpython.fm Pydantic V2 episode: talkpython.fm JSON parsing with msgspec article: pythonspeed.com msgspec bencharmks: jcristharif.com msgspec vs. pydantic v1 and pydantic v2: github.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy --- Episode sponsors --- Posit Talk Python Training

Topics covered in this episode: A Python/Django Advent calendar Dropbase helps you build internal web apps with Python Real-world match/case Extra, extra, extra, so many extras! Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Brian #1: A Python/Django Advent calendar James Bennett's take on an Advent Calendar “I'm going to try to publish one short blog post each day of Advent 2023, each covering a small but hopefully useful tip or bit of information for Python and/or Django developers” First post also discusses using enums A couple cool testing posts Don't mock Python's HTTPX I didn't know HTTPX had built in transport mocking, very cool Test your documentation doctest discussion Michael #2: Dropbase helps you build internal web apps with Python Build fullstack web apps for your internal teams. Import existing Python scripts Quickly layer UIs and granular permissions on top. Turn any SQL SELECT into an admin panel with Smart Tables. Watch the video for the zen of it. Freemium model Brian #3: Real-world match/case Ned Batchelder Structural pattern matching example taken from a GitHub bot Matching nested dictionaries, pulling out bits of data The examples of not just matching but using case [structure] if [test on component] are neat. Michael #4: Extra, extra, extra, so many extras! WAY better DNS with Bunny.net DNS Terminal Secrets essay Meet the Supporting Developer in Residence (via Pycoders) Songs in Python code BohemianRhapsody.py MoneyForNothing.py PyCascades 2024 Project names blocked on PyPI to avoid name collision for downstream free-threaded Python distributions An Open Letter to the Python Software Foundation PSF's official mission https://discuss.python.org/t/python-3-12-1-now-available/40603 https://discuss.python.org/t/python-3-11-7-is-available/40778 Obfuscated Python winning (via Johannes Lippmann) Extras Brian: Python for VSCode, Dec 2023 release, rolls out better test discovery to everyone. Forcing pip to use virtualenv Advent of Code Joke: Too many open tabs

You've probably heard the term "syntactic sugar", that is, syntax within a programming language that is designed to make things easier to read or to express. It makes the language "sweeter" for human use. It turns out Brett Cannon has spent 2 years diving into and writing about Python's sweet language features and how they really work down inside CPython. He joins me on the show today to dive into a few of the more relevant posts he's written about it. Links from the show Brett Cannon: @brettcannon@fosstodon.org Syntactic sugar series: snarky.ca Syntactic sugar: wikipedia.org Unravelling attribute access in Python: snarky.ca Unravelling binary arithmetic operations: snarky.ca Unravelling the import statement: snarky.ca record-type: pypi.org Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy --- Episode sponsors --- Talk Python Training

Topics covered in this episode: Fixit 2: Meta's next-generation auto-fixing linter FastUI Mail list / newsletter conversation CLIs from type hints Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Michael #1: Fixit 2: Meta's next-generation auto-fixing linter via Bart Kappenburg Fixit is dead! Long live Fixit 2 – the latest version of our open-source auto-fixing linter. Fixit provides a highly configurable linting framework with support for auto-fixes, custom “local” lint rules, and hierarchical configuration, built on LibCST. Fixit 2 is available today on PyPI. Created by Meta's Python Language Foundation team — a hybrid team of both PEs and traditional SWEs — helps own and maintain the infrastructure and tooling for Python. Interesting comments on this article on Hacker News I wonder if ruff format was already a thing when Fixit was adopted, whether it would exist? Brian #2: FastUI Samuel Colvin “FastUI is a new way to build web application user interfaces defined by declarative Python code.” MK: Reminds me of the code matches DOM style of Flutter. See code samples at the end. Michael #3: Mail list / newsletter conversation I've been tired of Mailchimp for a long time Raising the prices month over month by $100 several months may be the straw But what are the options? Lets ask Mastodon: emailoctopus.com listmonk.app [self hosted, open source] keila.io [self/saas, open source] mailyherald.org [self hosted, open source] sendportal.io [self hosted, open source] brevo.com buttondown.email [django] zoho.com/campaigns/ sendy.co [use your own bulk emailer (e.g. sendgrid or aws ses) convertkit.com mautic.org [open source] constantcontact.com getresponse.com convertkit.com Brian #4: CLIs from type hints From Sander76 Pydantic Argparse “is a Python package built on top of pydantic which provides declarative typed argument parsing using pydantic models.” Clipstick is a “cli-tool based on Pydantic models.” tyro “is a tool for generating command-line interfaces and configuration objects in Python.” tyro includes support for dataclasses and attrs in place of Pydantic Extras Brian: Django 5.0 has been released vim-keybindings-everywhere-the-ultimate-list - submitted by Paul Barry PythonTest (the podcast formerly known as Test & Code, to be read in an undertone similar to the way one used to say “The artist formerly known as Prince”) has moved form testandcode.com to podcast.pythontest.com Plus more guests are listed now. I think I've gone backwards from current to episode 182. I tried to get my kid to help out, unsuccessfully. May have to hire someone to help. grrr. Michael: Essay: Don't Sweat the Ad Blocker Drama A story: my project this weekend, unify my over 20 domains to one host Joke: Honest LinkedIn

We all know that LLMs and generative AI has been working its way into many products. It's Jupyter's turn to get a really awesome integration. We have David Qiu here to tell us about Jupyter AI. Jupyter AI provides a user-friendly and powerful way to apply generative AI to your notebooks. It lets you choose from many different LLM providers and models to get just the help you're looking for. And it does way more than just a chat pane in the UI. Listen to find out. Links from the show David Qiu: linkedin.com Jupyter AI: jupyter-ai.readthedocs.io Asking about something in your notebook: jupyter-ai.readthedocs.io Generating a new notebook: jupyter-ai.readthedocs.io Learning about local data: jupyter-ai.readthedocs.io Formatting the output: jupyter-ai.readthedocs.io Interpolating in prompts: jupyter-ai.readthedocs.io JupyterCon 2023 Talk: youtube.com PyData Seattle 2023 Talk: youtube.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Posit Talk Python Training

On this episode we have Wolf Vollprecht and Ruben Arts from the pixi project here to talk about pixi, a high performance package manager for Python and other languages that actually manages Python itself too. They have a lot of interesting ideas on where Python packaging should go and are putting their time and effort behind them. Will pixi become your next package manager? Listen in to find out. Links from the show Black Friday at Talk Python: talkpython.fm/blackfriday Guests Wolf Vollprecht: github.com/wolfv Ruben Arts: github.com/ruben-arts pixi: prefix.dev Prefix: prefix.dev Launching pixi: prefix.dev Conda: docs.conda.io Conda Forge: conda-forge.org NixOS: nixos.org Packaging Con 2023: packaging-con.org Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Posit Python Tutor Talk Python Training

Jupyter Notebooks and Jupyter Lab have to be one of the most important parts of Python when it comes to bring new users to the Python ecosystem and certainly for the day to day work of data scientists and general scientists who have made some of the biggest discoveries of recent times. And that platform has recently gotten a major upgrade with JupyterLab 4 released and Jupyter Notebook being significantly reworked to be based on the changes from JupyterLab as well. We have an excellent panel of guests, Sylvain Corlay, Frederic Collonval, Jeremy Tuloup, and Afshin Darian here to tell us what's new in these and other parts of the Jupyter ecosystem. Links from the show Guests Sylvain Corlay Frederic Collonval Jeremy Tuloup Afshin Darian JupyterLab 4.0 is Here: blog.jupyter.org Announcing Jupyter Notebook 7: blog.jupyter.org JupyterCon 2023 Videos: youtube.com Jupyterlite: github.com Download JupyterLab Desktop: github.com Mythical Man Month Book: wikipedia.org Blender in Jupyter: twitter.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Phylum Python Tutor Talk Python Training

Are you considering or struggling with replacing much of the interactivity of your Django app with frontend JavaScript frameworks? After all, your users do expect an interactive and modern app, right? Before you make a rash decision, you owe it to yourself to check out HTMX. It goes well with Django. We have Christopher Trudeau to run through a whole awesome list of HTMX and Python and tell us about his new HTMX + Django course. Links from the show Chris on ExTwitter: @cltrudeau Django in Action book: manning.com Django: djangoproject.com HTMX + Django course: talkpython.fm HTMX: htmx.org awesome-htmx: github.com awesome-python-htmx: github.com django-js-lib-htmx: github.com htmxflask: github.com fastapi-sse-htmx: github.com django-htmx-patterns: github.com jinja2-fragments: github.com jinja_partials: github.com chameleon_partials: github.com django-render-block: github.com flask-htmx: github.com htmx-flask: github.com asgi-htmx: github.com hx-requests: github.com django-dashboards: github.com A Real World React -> htmx Port: htmx.org 3 IRL use cases for Python and HTMX: bitecode.dev owela-club: github.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors IRL Podcast Sentry Error Monitoring, Code TALKPYTHON Talk Python Training

How well do you know your Python packaging tools? These are things like pip which install your project's dependencies and their dependencies and so on. In this mix, we have more modern tools such as Poetry, Flit, Hatch and others. And even tools outside of Python itself which may attempt to manage Python itself in addition to the libraries. To make sense of all of this, we welcome back Anna-Lena Popkes for an unbiased evaluation of environment and packaging tools. Links from the show Anna-Lena's website: alpopkes.com Anna-Lena on GitHub: github.com Accompanying Blog Post: alpopkes.com Talk from PyCon DE: youtube.com Talk from EuroPython: youtube.com Talk Python's Data Science Jumpstart with 10 Projects course: talkpython.fm Rye: github.com Poetry: python-poetry.org Material for MkDocs: squidfunk.github.io 100 Days of Python in a Magical Universe Episode: talkpython.fm pip-tools: pip-tools.readthedocs.io Hatch: hatch.pypa.io PDM: pdm.fming.dev Flit: flit.pypa.io Conda: docs.conda.io Pipenv: pipenv.pypa.io Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors IRL Podcast Sentry Error Monitoring, Code TALKPYTHON Talk Python Training

Do you worry about your developer / data science supply chain safety? All the packages for the Python ecosystem are much of what makes Python awesome. But the are also a bit of an open door to your code and machine. Luckily the PSF is taking this seriously and hired Mike Fiedler as the full time PyPI Safety & Security Engineer (not to be confused with the Security Developer in Residence staffed by Seth Michael Larson). Mike is here to give us the state of the PyPI security and plans for the future. Links from the show Mike on Twitter: @mikefiedler Mike on Mastodon: @miketheman@hachyderm.io Supply Chain examples SolarWinds: csoonline.com XcodeGhost: wikipedia.org Google Ad Malware: medium.com PyPI: pypi.org OWASP Top 10: owasp.org Trusted Publishers: docs.pypi.org libraries.io: libraries.io GitHub Full 2FA: github.blog Mike's Latest Blog Post: blog.pypi.org pprintpp package: github.com ICDiff: github.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Sentry Error Monitoring, Code TALKPYTHON Talk Python Training

Topics covered in this episode: Django 5.0 beta 1 released git bash, terminals, and Windows Mastering Integration Testing with FastAPI Reuven Learner has been banned for trading in rare animals (Pythons and Pandas) Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Brian #1: Django 5.0 beta 1 released Django 5.0 release notes supports Python 3.10, 3.11, 3.12 Facet filters in the admin Simplified templates for form field rendering Database-computed default values Database generated model field More options for declaring field choices More Django news Djangonaut Space now accepting applications for our next contributor mentorship cohort Take the Django Developers Survey 2023 Michael #2: git bash, terminals, and Windows See the screenshot Requires Windows 10 Install the Windows Terminal from the Microsoft Store Brian #3: Mastering Integration Testing with FastAPI Alex Jacobs Some great integration testing techniques Focused on FastAPI, but relevant to many frameworks. Mocking authentication Mocking external APIs Fun use of parametrize and indirect fixtures for mocking responses. Mocking MongoDB Mocking AWS S3 Michael #4: Reuven Learner has been banned for trading in rare animals (Pythons and Pandas) via Pat Decker Reuven, like us, teaches Python and Data Sci Tried to advertise his courses (Python and Pandas courses) on Meta Got permanently (life-time) banned for selling rare and endangered animals. Sometimes I really hate these big tech companies My recent beefs have been with app store reviewers and surveillance-based capitalism Extras Brian: Where did everyone go? - Ned Batchelder I do feel like we're more fragmented than before, but I am feeling like we have a community on Mastodon. reminder that Mastodon has text search now On Sunday, I released Ch9, Coverage, as part of The Complete pytest course, specifically part of pytest Working with Projects. It was super fun. I've used coverage a lot since writing the book, for example, I demonstrate branch coverage. It's so much more effective to teach in video than in printed screenshots. Michael: Autin shell enhancer by Ellie Huxtable recommended by recommended by Nik JupyterCon 2023 videos are out More shells follow up from Teemu Hukkanen for “editor like” features Zsh and Bash ruff format and strings, aka format.quote-style = "single" Glyph's programming your computer talk is up. Joke: this is what the experts do

Are you building a mobile app and wondering where Python fits in the mix? Are you support others building these apps with backend APIs written in Python? Can you write your entire app, end to end, in Python? I have a great panel put together to discuss exactly this. And they all have a different and unique take on the options. Welcome to Loren Aguey, Harout Boujakjian, Andréas Kühne, Jeyfrin and, Joshua. Links from the show Guests Loren Aguey: linkedin.com Harout Boujakjian: linkedin.com Andréas Kühne: linkedin.com Jeyfrin, Joshua Talk Python Mobile App: training.talkpython.fm/apps Epic Skies App: play.google.com PinPlanet App: pinplanetapp.com My Club App: apps.apple.com vid3d App: play.google.com Flutter: flutter.dev Flutter Showcase: flutter.dev pub.dev, Flutter's PyPI: pub.dev FastAPI: fastapi.tiangolo.com Litestar: litestar.dev Pyramid Web Framework: trypyramid.com Flask: flask.palletsprojects.com Django: djangoproject.com Django REST Framework: django-rest-framework.org Kivy: kivy.org Swift: developer.apple.com Ionic Framework: ionicframework.com Ionic Source: github.com Flutter Source: github.com Kivy Source: github.com Bloc: State management for Dart: bloclibrary.dev Swift Package Manager (SwiftPM): swift.org Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Sentry Error Monitoring, Code TALKPYTHON Talk Python Training

Topics covered in this episode: QuickMacHotKey Things I've learned about building CLI tools in Python Warp Terminal (referral code) Python 3.7 EOLed, but I hadn't noticed Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training Python People Podcast Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Michael #1: QuickMacHotKey This is a set of minimal Python bindings for the undocumented macOS framework APIs that even the most modern, sandboxing-friendly shortcut-binding frameworks use under the hood for actually binding global hotkeys. Thinking of updating my urlify menubar app. Brian #2: Things I've learned about building CLI tools in Python Simon Willison A cool Cookiecutter starter project, if you like Click. Conventions and consistency in commands, arguments, options, and flags. The importance of versioning. Your CLI is an API. Include examples in --help Include --help in documentation. Aside, Typer is also cool, and is built on Click. Michael #3: Warp Terminal (referral code) Really nice reimagining of the terminal Currently macOS only but will be Linux, then Windows New command section & output section mode Blocks can be navigated and searched as a single thing (even if it's 1,000 lines of output) CTRL+R gives a nice history like McFly I've discussed before Completions into popular CLIs (i.e. git) Edit like an editor (even you VIM people

We all know about Flask and Django. And of course FastAPI made a huge splash when it came on the scene a few years ago. But new web frameworks are being creating all the time. And they have these earlier frameworks to borrow from as well. On this episode we dive into a new framework gaining a lot of traction called Litestar. Will it be the foundation of your next project? Join me as I get to know Litestar with its maintainers: Jacob Coffee, Janek Nouvertné, and Cody Fincher. Links from the show Guests Jacob Coffee Jacob on Github: github.com Jacob on Twitter: @_scriptr Jacob on Mastodon: @Monorepo Cody Fincher Cody on LinkedIn: linkedin.com Cody on GitHub: github.com Email: cody.fincher@gmail.com Janek Nouvertné Janek on GitHub: github.com Email: j.a.nouvertne@posteo.de Litestar: litestar.dev Litestar Documentation: litestar.dev Litestar on Twitter: @LitestarAPI Litestar on Mastodon: @litestar Litestar Blog: blog.litestar.dev Discord: discord.gg Reddit r/Litestar: eddit.com Litestar on PyPI: pypi.org Benchmarks: docs.litestar.dev v2.0 Release: github.com gunicorn: gunicorn.org msgspec: github.com httpx-sse: github.com duckdb: duckdb.org rich-click: github.com blacksheep server: neoteroi.dev Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Sentry Error Monitoring, Code TALKPYTHON Talk Python Training

Topics covered in this episode: Psycopg 3 dacite RIP: Fast, barebones pip implementation in Rust Flaky Tests follow up Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Brian #1: Psycopg 3 Psycopg folks recommend starting with 3 for new projects 2 is still actively maintained, but no new features are planned recommend staying with 2 for legacy projects Psycopg 3 project 2 vs 3 feature comparison A few Psycopg 3 highlights native asyncio support native support for more Python types (such as Enums) and PostgreSQL types (such as multirange) Default server-side parameters binding Allows binary parameters and query results (and text, of course) Pipeline/batch mode support Static typing support Michael #2: dacite via Raymond Peck Simple creation of data classes from dictionaries Dacite supports following features: nested structures (basic) types checking optional fields (i.e. typing.Optional) unions forward references collections custom type hooks It's important to mention that dacite is not a data validation library. Type hooks are interesting too. Brian #3: RIP: Fast, barebones pip implementation in Rust list of current and planned features of RIP, the biggest are listed below: Downloading and aggressive caching of PyPI metadata. (done) Resolving of PyPI packages using Resolvo. (done) Installation of wheel files (planned) Support sdist files (planned) new project, just a couple weeks old. … “We would love to have you contribute!” Michael #4: Flaky Tests follow up by Marwan Sarieddine I was inspired by the Talk Python podcast on "Taming flaky tests" with Gregory Kapfhammer and Owain Parry so I wrote up an article on my blog titled "How not to footgun yourself when writing tests - a showcase of flaky tests” Extras Brian: Just wrapping up some personal projects, which means… Python People episodes soon Python Test episodes soon (but later) More course chapters coming Michael: PyBay 2023 was fun Switched to Spark Mail, recommended Dust (what science fiction story telling should be), try: FTL Oceanus Joke: There are more hydrogen atoms in a single molecule of water than there are stars in the entire Solar System. - mas.to/@SmudgeTheInsultCat/111174610011921264 The Big Rewrite

By now, surely you've heard how awesome Pydantic version 2 is. The team led by Samual Colvin spent almost a year refactoring and reworking the core into a high-performance Rust version while keeping the public API in Python and largely unchanged. The main benefit of this has been massive speed ups for frameworks and devs using Pydantic. But just how much work is it to take a framework deeply built on Pydantic and make that migration? What are some of the pitfalls? On this episode, we welcome back Roman Right to talk about his experience converting Beanie, the popular MongoDB async framework based on Pydantic, from Pydantic v1 to v2. And we'll have some fun talking MongoDB as well while we are at it. Links from the show Beanie: beanie-odm.dev Beanie on GitHub: github.com Roman on Twitter: @roman_the_right Beanie Release 1.21.0: github.com Talk Python's MongoDB with Async Python Course: talkpython.fm Pydantic Migration Guide: docs.pydantic.dev Customizing validation with __get_pydantic_core_schema__: docs.pydantic.dev Bunnet (Sync Beanie): github.com Generic `typing.ForwardRef` to support generic recursive types: discuss.python.org Pydantic v2 - The Plan Episode: talkpython.fm Future of Pydantic and FastAPI episode: talkpython.fm Beanie Lazy Parsing: beanie-odm.dev Beanie Relationships: beanie-odm.dev Locust Load Testing: locust.io motor package: pypi.org Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Studio 3T Talk Python Training

Topics covered in this episode: 3.12 is out! Trouble with virtualenv caching, a tale of 3.12 update Python Developers Survey 2022 Results Scientific Python Library Development Guide Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Michael #1: 3.12 is out! What's new PEP 695, type parameter syntax and the type statement PEP 692, using TypedDict to annotate **kwargs PEP 698, typing.override() decorator PEP 701, f-strings in the grammar PEP 684, a unique per-interpreter GIL PEP 669, low impact monitoring Improved ‘Did you mean …' suggestions for NameError, ImportError, and SyntaxError exceptions PEP 688, using the buffer protocol from Python The pathlib.Path class now supports subclassing The os module received several improvements for Windows support A command-line interface has been added to the sqlite3 module isinstance() checks against runtime-checkable protocols enjoy a speed up of between two and 20 times The asyncio package has had a number of performance improvements, with some benchmarks showing a 75% speed up. A command-line interface has been added to the uuid module Due to the changes in PEP 701, producing tokens via the tokenize module is up to up to 64% faster. PEP 683, immortal objects PEP 709, comprehension inlining Brian #2: Trouble with virtualenv caching, a tale of 3.12 update Michael #3: Python Developers Survey 2022 Results I did a “first reactions” video too Brian #4:Scientific Python Library Development Guide Announcement and Overview by Henry Schreiner Extras Brian: The Complete pytest Course is now at courses.pythontest.com Still on Teachable, just with a custom domain Also, just released Chapter 8 today. Michael: Moving to Mona App (was using Ivory) for Mastodon Making bank on .ai Vivaldi on iOS Joke: Thought it would be easy

Every year Python has a new major release. This year it's Python 3.12 and it'll come out on October 2, 2023. That's 4 days from when this episode was published. There is quite process involved to test, build, and ship Python across many platforms and channels. We have Seth Michael Larson here to give us a detailed rundown on what exactly is involved in releasing CPython. Links from the show Seth on Mastodon: fosstodon.org/@sethmlarson Seth on Twitter: @sethmlarson Seth on Github: github.com Announcing Security Developer-in-Residence: sethmlarson.dev Visualizing the CPython Release Process: sethmlarson.dev PEP 101: peps.python.org CPython on Github: github.com Best Open SSF: best.openssf.org pip-audit: github.com PyPA Advisory Database: github.com Omnivore App: omnivore.app What's New in 3.12: docs.python.org release-tools package: github.com Talk Python's HTMX + Django course: talkpython.fm/htmx-django Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors PyCharm Talk Python Training

Topics covered in this episode: logmerger The third and final Python 3.12 RC is out now The Python dictionary dispatch pattern Visualizing the CPython Release Process Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training Python People Podcast Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Brian #1: logmerger Paul McGuire logmerger is a TUI for viewing a merged display of multiple log files, merged by timestamp. Built on textual Awesome flags: --output - to send the merged logs to stdout --start START and --end END start and end time to select time window for merging logs Caveats: new. no pip install yet. so clone the code or download perhaps I jumped the gun on covering this, but it's cool Michael #2: The third and final Python 3.12 RC is out now Get your final bugs fixed before the full release Call to action: We strongly encourage maintainers of third-party Python projects to prepare their projects for 3.12 compatibilities during this phase How to test. Discussion on the issue. Count down until October 2nd, 2023. Brian #3: The Python dictionary dispatch pattern I kinda love (and hate) jump tables in C We don't talk about dictionary dispatch much in Python, so this is nice, if not dangerous. Short story: you can store lambdas or functions in dictionaries, then look them up and call them at the same time. Also, I gotta shout out to the first blogroll I've seen in a very long time. Should we bring back blogrolls? Michael #4: Visualizing the CPython Release Process by Seth Larson Here's the deal (you should see the image in the article

So, you've got this amazing machine learning model you created. And you want to share it and let your colleagues and users experiment with it on the web. How do you get started? Learning Flask or Django? Great frameworks, but you might consider Gradio which is a rapid development UI framework for ML models. On this episode, we have Freddy Boulton, to introduce us all to Gradio. Links from the show Freddy on Twitter: @freddy_alfonso_ Gradio: gradio.app Use as API Example: huggingface.co Components: gradio.app Svelte: svelte.dev Flutter UI/Code structure: docs.flutter.dev XKCD Matplotlib Theme: matplotlib.org Gradio XKCD Full Theme: huggingface.co PrivateGPT: ai.meta.com Langchain: docs.langchain.com pipdeptree: pypi.org Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors PyCharm Sentry Error Monitoring, Code TALKPYTHON Talk Python Training

Topics covered in this episode: OverflowAI Switching to Hatch Alpha release of the Ruff formatter What is wrong with TOML? Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training Python Testing with pytest, full course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Michael #1: OverflowAI Integration of generative AI into our public platform, Stack Overflow for Teams, and brand new product areas, like an IDE integration. Have a conversation about the search results and proposed answer with GenAI Coming with IDE integration too. Check out the video on their page for some more detail than the article. Brian #2: Switching to Hatch Oliver Andrich Hatch has some interesting features Template built from hatch new myproject includes isolating dev, test, lint virtual environments. Each env can have scripts Test matrix ala tox, but possibly easier to express complex matrices. May not even need tox then, but then now you have hatch. A way to specify which optional dependencies needed for default environment. Notes from Brian One premise is that lots of projects are now using hatch. I don't know if that's true. A quick spot check of a few projects include projects that use hatchling. While hatchling is the back end to hatch, they are not the same. I use hatchling a lot now, but haven't picked up using hatch. But I do want to try it more after reading this article. Michael #3: Alpha release of the Ruff formatter vis Sky Kasko Charlie Marsh announced that an alpha version of a Ruff formatter has been released in Ruff v0.0.289. The formatter is designed to be a drop-in replacement for Black, but with an excessive focus on performance and direct integration with Ruff. Sky says: I can't find any benchmarks that have been released yet, but I did some extremely unscientific testing and found the Ruff formatter to be around 5 to 10 times faster than Black when running on already-formatted code or in a small codebase, and 75 times faster when running on a large codebase of unformatted code. (The second outcome probably isn't very important since most people would not often be formatting thousands of lines of completely unformatted code.) For more info, see the README: https://github.com/astral-sh/ruff/blob/main/crates/ruff_python_formatter/README.md Brian #4: What is wrong with TOML? Colm O'Connor Suggested by Will McGugan This is a comparison of TOML vs StrictYAML under the use case of “readable story tests”. TLDR; For smallish things like pyproject.toml, toml is fine. For huge files, something like StrictYAML may be less horrible. from Brian: Short answer: Nothing, unless you're doing crazy things with it. Re “readable story tests”: WTF? Neither of these are something I'd like to maintain. Extras Brian: Python Testing with pytest, the course New intro video to explain what the course is about Using Teachable video like notes, mini-viewer, and speed controls Chapter on “Testing Strategy” is next Michael: HTMX + Django: Modern Python Web Apps, Hold the JavaScript Course Coding in Rust? Here's a New IDE by JetBrains Delightful Machine Learning Apps with Gradio out on Talk Python Joke: The 5 stages of debugging

Topics covered in this episode: Heliclockter - Like datetime, but more timezone-aware Wagtail 5 Git log customization MiniJinja template engine Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training Python People Podcast Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org Brian: @brianokken@fosstodon.org Show: @pythonbytes@fosstodon.org Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too. Brian #1: Heliclockter - Like datetime, but more timezone-aware Suggested by Peter Nilsson The library exposes 3 classes: datetime_tz, a datetime ensured to be timezone-aware. datetime_local, a datetime ensured to be timezone-aware in the local timezone. datetime_utc, a datetime ensured to be timezone-aware in the UTC+0 timezone. Michael #2: Wagtail 5 Wagtail is the leading open-source Python CMS, based on Django. Anything you can do in Python or Django, you can do in Wagtail. Wagtail 5.0 provides even more options for your content creation experience Dark mode has arrived SVG support Enhanced accessibility checker Delete more safely Some breaking changes in it because this release removes some of the old code paths that were maintained to give people more time to adapt their code to the new upgrades Add custom validation logic to your Wagtail projects. You can now attach errors to specific child blocks in StreamField. Brian #3: Git log customization Justin Joyce Just a simple git log --oneline makes the log so much more readable, but don't stop there. --graph helps to show different branches -10 shows the last 10 commits. And this beauty in .gitconfig makes git lg mostly do what you want most of the time: [alias] lg = log --graph -10 --format='%C(yellow)%h%Creset %s %Cgreen(%cr) %C(bold blue)[HTML_REMOVED]%Creset' Michael #4: MiniJinja template engine MiniJinja is a powerful but minimal dependency template engine for Rust compatible with Jinja/Jinja2 Comes with integration back into Python via minijinja-py package. MiniJinja has a stronger sandbox than Jinja2 and might perform ever so slightly better in some situations. However you should be aware that due to the marshalling that needs to happen in either direction there is a certain amount of loss of information. Compiles to WebAssembly Extras Brian: The pytest Primary Power course is ready. To celebrate wrapping up the first course, pytest Primary Power is $49, the bundle is $99. Bundle: This + next 2 courses + access to repo, discussion forum, Slack, and Discord Michael: New HTMX, language course, and data science course coming at Talk Python. Add your name here to get notified. I'll be at PyBay 2023 on Oct 8, 2023 Use "friendofspeaker" with for a 20% discount on the regular tickets. Follow up from docstrings: From Rhet John Hagen: You can certainly omit the type information from the docstring when you are using typehints. This is the way I've seen almost all modern usages of Google style docstrings nowadays. They still have some examples that include the type information because the original standard pre-dated Python 3 type annotations. Here is a simple example: https://github.com/johnthagen/python-blueprint/blob/main/src/fact/lib.py#L5 This also shows off the next point that you brought up: can I document all of the exceptions that a function could raise. Google docstrings have the "Raises:" block for this, and I find it pretty nice and concise for when this is needed. Also, PyCharm can be configured to autocomplete and render Google style docstrings https://www.jetbrains.com/help/pycharm/settings-tools-python-integrated-tools.html Tools | Python Integrated Tools | Docstrings | Docstring Format: Google What's nice about this, is that then PyCharm will render the google style docstrings in the Quick Doc function (Ctrl+Q), making the headers bold and larger and lists look nice so it's easy to read. Joke: Fully optimized my algorithm

We write tests to show us when there are problems with our code. But what if there are intermittent problems with the tests themselves? That can be big hassle. In this episode, we have Gregory Kapfhammer and Owain Parry on the show to share their research and advice for taming flaky tests. Links from the show Gregory Kapfhammer: gregorykapfhammer.com Owain Parry on Twitter: @oparry9 Radon: pypi.org pytest-xdist: github.com awesome-pytest: github.com Tenacity: readthedocs.io Stamina: github.com Flaky Test Management: docs.cypress.io Flaky Test Management (Datadog): datadoghq.com Flaky Test Management (Spotify): engineering.atspotify.com Flaky Test Management (Google): testing.googleblog.com Detecting Test Pollution: github.com Surveying the developer experience of flaky tests paper: www.gregorykapfhammer.com Build Kite CI/CD: buildkite.com Flake It: Finding and Fixing Flaky Test Cases: github.com Unflakable: unflakable.com CircleCI Test Detection: circleci.com Watch this episode on YouTube: youtube.com --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors PyCharm Sentry Error Monitoring, Code TALKPYTHON Talk Python Training

Have you heard of Django? It's this little web framework that, well, kicked off much of Python's significance in the web space back in 2005. And that makes Django officially an adult. That's right, Django is now 18. And Django continues to lead the way on how community should be done for individual projects such as web frameworks. We have Carlton Gibson and Will Vincent back on the show this episode to discuss a bit of the Django history, Django trends in 2023, a little HTMX + Django, and lots more. Links from the show Guests Will Vincent: wsvincent.com Carlton Gibson: @carlton@fosstodon.org Button.dev: btn.dev Learn Django: learndjango.com Django News: django-news.com Yak-Shaving to Where the Puck is Going to Be Talk: youtube.com Open Source for the Long Haul: fosstodon.org Django 4.2: docs.djangoproject.com Django 5: docs.djangoproject.com Environs: github.com Neapolitan: github.com Django Template Paritals: github.com Jinja Partials: github.com Django Chat Podcast: djangochat.com Locality of Behavior Essay: htmx.org HTMX: htmx.org You're Fullstack Now Meme: twitter.com Deployment Checklist: docs.djangoproject.com Django-HTMX: github.com Django @Instagram DjangoChat: djangochat.com Talk Python HTMX Course: talkpython.fm Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors Sentry Error Monitoring, Code TALKPYTHON Talk Python Training

Getting started in Python is pretty easy. There's even a t-shirt that jokes about it: I learned Python, it was a good weekend. But to go from know how to create variables and writing loops, to building amazing things like FastAPI or Instagram, well there is this little gap between those two things. On this episode we welcome Eric Matthes to the show. He has thought a lot about teaching Python and comes to share his 10 tips for going from Python beginner to expert. Links from the show Eric on LinkedIn: linkedin.com Mostly Python Newsletter: mostlypython.substack.com Python Crash Course Book: nostarch.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors GlareDB Sentry Error Monitoring, Code TALKPYTHON Talk Python Training

One of the most exciting initiatives in the Python space these days is pyscript which enables Python running natively in your browser. With consistent support from the folks at Anaconda, this project has been making solid strides since its initial release. On this episode we catch up with Fabio Pliger and Nicholas Tollervey to see where they are with the pyscript project. Links from the show Guests and Host Links Nicholas Tollervey: @ntoll@mastodon.social Fabio Pliger: @b_smoke Michael Kennedy: @mkennedy@fosstodon.org pyscript: pyscript.net pyscript on Github: github.com Tic Tac Toe Example App: pyscriptapps.com PyperCard: github.com MicroPython: micropython.org pyscript core: pyscript.net Nich's PyScript gets Python anywhere there's a browser video: youtube.com HTMX: htmx.org Birth and Death of JavaScript: destroyallsoftware.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors PyCharm Sentry Error Tracing, Code TALKPYTHON Talk Python Training

Understanding how your Python application is using memory can be tough. First, Python has it's own layer of reused memory (arenas, pools, and blocks) to help it be more efficient. And many important Python packages are built in natively compiled languages like C and Rust often times making that section of your memory opaque. But with Memray, you can way deeper insight into your memory usage. We have Pablo Galindo Salgado and Matt Wozniski back on the show to dive into Memray, the sister project to their pystack one we recently covered. Links from the show Pablo Galindo Salgado: @pyblogsal Matt Wozniski: github.com pytest-memray: github.com PEP 669 – Low Impact Monitoring for CPython: peps.python.org Memray discussions: github.com Mandlebrot Flamegraph example: bloomberg.github.io Python allocators: bloomberg.github.io Profiling in Python: docs.python.org PEP 693 – Python 3.12 Release Schedule: peps.python.org Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors PyCharm influxdata Talk Python Training

If you want to share your data science results as interactive web apps, you could learn Flask or Django and a bunch of other web technologies. Or, you could pick up one of the powerful frameworks for deploying data science specifically. And if you're searching through that space, you've likely hear of Shiny -- but that's just for the R side of data science, right? Not any longer. Joe Cheng is here to introduce us to the recently released Shiny for Python. And it looks like a very solid new framework on the block. Links from the show Joe on Twitter: @jcheng Shiny: shiny.posit.co Shiny for Python code: github.com Discord community for Shiny: discord.gg Reactive programming inside Shiny: shiny.posit.co Shiny Gallery: shiny.posit.co Examples: shiny.posit.co Orbital mechanics in Shiny: shiny.posit.co Wordle in Shiny: shiny.posit.co Keynote introducing Shiny for Python: youtube.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors influxdata GlareDB Talk Python Training

Python is used for a wide variety of software projects. One area it's really gained a huge amount of momentum is in the computational space (including data science). On this episode we welcome back Allen Downey to dive into a particular slice of this space: simulation problems and Python in Physics and Engineering in general. Links from the show Allen's web page: allendowney.com Allen's blog (Probably Overthinking It): allendowney.com/blog Allen on Twitter: @allendowney Allen on Mastodon: @allendowney@fosstodon.org Modeling and Simulation in Python book: allendowney.github.io Programming as a Way of Thinking: blogs.scientificamerican.com Think Python book: greenteapress.com Think OS book: greenteapress.com Pint package: pint.readthedocs.io Free version of the book and Jupyter notebooks: allendowney.github.io Published version: nostarch.com Elm programming language: elm-lang.org SymPy examples: docs.sympy.org Guinness World Record won for bungee 'dunk' into cup of tea: youtube.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors influxdata Pybites PDM Talk Python Training

Regardless of which side of Python, software developer or data scientist, you sit on, you surely know that data scientists and software devs seem to have different styles and priorities. But why? And what are the benefits as well as the pitfalls of this separation. That's the topic of conversation with our guest, Dr. Jodie Burchell, data science developer advocate at JetBrains. Links from the show Jodie on Twitter: @t_redactyl Jodie's PyCon Talk: youtube.com Deep Learning with Python book: manning.com Keras: keras.io scikit-learn: scikit-learn.org Matplotlib: matplotlib.org XKCD Matplotlib: matplotlib.org Pandas: pandas.pydata.org Polars: pola.rs Polars on Talk Python: talkpython.fm Jupyter: jupyter.org Ponder: ponder.io Dask: dask.org Explosion AI's Prodigy discount code: get a personal license for 25% off using the discount code TALKPYTHON. Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Mastodon: talkpython Follow Michael on Mastodon: mkennedy Sponsors PyCharm Prodigy Talk Python Training