Podcasts about Python

Stand in Boldness – An Acts 4 Response | KIB 497 Kingdom Intelligence Briefing YouTube Description In this powerful episode of the Kingdom Intelligence Briefing, Dr. Michael and Mary Lou Lake share deep insights on the assassination of Charlie Kirk, its spiritual implications, and what it means for the Body of Christ in these prophetic days. This discussion explores martyrdom in the last days, spiritual strongholds, the role of Leviathan, Jezebel, and Python in twisting truth, and the need for believers to stand in boldness and prayer. The Lakes also draw parallels between Stephen's martyrdom in Acts and today's events, encouraging the remnant to seek God's direction, refuse fear, and be instruments of revival. Key Takeaway: Heaven has drawn a line, and God is standing up. The remnant must respond with prayer, boldness, and unwavering trust in the Lord as we prepare for one of the greatest moves of God in history. Timeline of Topics 0:00 – Introduction & purpose of KIB 2:05 – Updates on children's health and answered prayers 4:00 – Assassination of Charlie Kirk & initial reactions 7:00 – Charlie's ministry focus: Gospel first, politics second 10:30 – Addressing false accusations & media attacks 13:45 – Parallel to Stephen's martyrdom (Acts 7) 17:20 – Utah strongholds: Mormonism, Freemasonry, and spiritual warfare 21:10 – Jezebel, Leviathan, and Python – the unholy trinity at work 26:00 – Twisting of identity, LGBT deception, and unclean spirits 30:15 – Danger of celebrating death & society's hardening hearts 34:10 – Lessons on conspiracy theories & discernment in the Body of Christ 38:45 – Call for accuracy and prayer before speaking 42:15 – Political power as false religion & the risk of anarchy 48:30 – Civil war prophecies and the “line crossed” in heaven 52:00 – Heaven's response: God standing up to act 55:15 – Prophetic hope for revival & massive deliverance in Utah 58:30 – Acts 4 prayer for boldness in the face of persecution 1:02:00 – Call for prayer, protection for speakers, and vigilance 1:05:00 – Encouragement for the remnant: stay faithful & expect revival Hashtags #KingdomIntelligenceBriefing #CharlieKirk #ChristianMartyrdom #EndTimesProphecy #SpiritualWarfare #Revival #Acts7 #Remnant #BiblicalLifeTV #PropheticWord #LeviathanSpirit #JezebelSpirit #PythonSpirit #KingdomOfGod #ChristianPodcast #SpiritualDiscernment #EndTimes #ChristianRevival

In this episode I discuss the Python Software Foundation with Deb Nicholson. We discuss their contributions to the Python programming community. Learn how this dedicated organization supports the growth and innovation of Python, fostering an ecosystem for developers worldwide. Everything funding open-source projects to organizing community events, discover the initiatives that make the Python Software Foundation a force for positive change in the tech world. The show notes and blog post for this episode can be found at https://opensourcesecurity.io/2025/2025-09-psf-deb-nicholson/

What are your options for hosting your Python application or scripts? What are the advantages of a platform as a service, container-based hosts, or setting up a virtual machine? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.

Summer is officially over. As the nights draw in it's time to hunker down and work on our technical debt. We all have Linuxy projects that we planning, so we commit to doing them by Christmas – when we will record a follow-up episode. Docker Compose, Immich, Jellyfin, learning Python, moving away from Synology, Home... Read More

Free Worship Night Mentioned: https://deependtv.com/nycGo Deeper on Topics Discussed on the show: http://www.novosnetwork.com/kairos

In this ethical lab demo, David Bombal and Kyle Winters connect Claude (LLM) to Metasploit through an MCP (Model Context Protocol) server to automate real attacks. Watch AI perform recon, generate a risk report, and execute VSFTPD backdoor, EternalBlue (SMBv1), and UnrealIRCD—dropping benign files on Linux and Windows with simple prompts. Educational use only on intentionally vulnerable VMs. Do not attack systems you don't own or lack permission to test. What you'll see • How MCP bridges an AI to real tools (Metasploit RPC) • AI-driven scanning + auto security report (services, versions, risks) • Prompted exploits: VSFTPD, EternalBlue, UnrealIRCD • Why this lowers barriers for red teams—and what blue teams should do // Sponsored SEGMENT // Big thanks to Cisco for sponsoring this video. // Kyle Winters SOCIAL // LinkedIn: / kyle-m-winters Cisco Blogs:  https://blogs.cisco.com/author/kylewi... // Websites REFERENCE // MetasploitMCP by GH05TCREW: https://github.com/GH05TCREW/Metasplo... Kareem Iskander's MCP blogs: https://blogs.cisco.com/author/kareem... Cisco U.: https://u.cisco.com?ccid=cisco-u&dtid... // Video REFERENCE // MCP Demo using Pythong: • MCP Demo using Python, AI and a self heali... Brute Force SSH: • Brute Force SSH & Build a Honeypot Now (Hy... Hacking LLMs: • Hacking LLMs Demo and Tutorial (Explore AI... // David's SOCIAL // Discord: discord.com/invite/usKSyzb Twitter: www.twitter.com/davidbombal Instagram: www.instagram.com/davidbombal LinkedIn: www.linkedin.com/in/davidbombal Facebook: www.facebook.com/davidbombal.co TikTok: tiktok.com/@davidbombal YouTube: / @davidbombal Spotify: open.spotify.com/show/3f6k6gE... SoundCloud: / davidbombal Apple Podcast: podcasts.apple.com/us/podcast... // MY STUFF // https://www.amazon.com/shop/davidbombal // SPONSORS // Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com // Menu // 0:00 - Coming up 0:58 - Disclaimer 01:00 - Introducing Metasploit MCP Server (by GH05TCREW) 03:01 - Metasploit MCP Demo 1 05:12 - Metasploit MCP Demo 2 10:59 - Metasploit MCP Demo 3 16:18 - Metasploit MCP Demo 4 19:15 - Metasploit MCP Demo 5 21:45 - How AI is changing cybersecurity 23:07 - Metasploit MCP Demo 5 continued 26:51 - Metasploit MCP server summary 28:00 - Conclusion Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! Disclaimer: This video is for educational purposes only.

Ready to take your data analysis skills to the next level? In this episode of What's New at CFI, we chat with subject matter expert Joseph Yeates about his newest course, Data Analysis in Python. This course is the perfect follow-up to our "Getting Started with Python" series and is designed for anyone, especially Excel users and BI professionals, looking to apply Python to real-world datasets.Joseph explains why Python is an essential skill for finance professionals today, covering its ability to handle large datasets and its new native integration with Excel.This episode coversThe Data Analysis Workflow: An overview of the entire process, from importing and cleaning data to analyzing and visualizing results.Bridging Excel and Python: How this course uses familiar tabular data structures to help you transition from spreadsheets to programming.Real-World Application: A personal story about using Python to build a predictive model for retail deposits, highlighting how powerful even small scripts can be.Overcoming the Intimidation: The encouraging message that you don't need a computer science background to master Python.If you're ready to go beyond the basics and start doing real data analysis with Python, this is your next step.

Topics covered in this episode: * prek* * tinyio* * The power of Python's print function* * Vibe Coding Fiasco: AI Agent Goes Rogue, Deletes Company's Entire Database* 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 / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) 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: prek Suggested by Owen Lamont “prek is a reimagined version of pre-commit, built in Rust. It is designed to be a faster, dependency-free and drop-in alternative for it, while also providing some additional long-requested features.” Some cool new features No need to install Python or any other runtime, just download a single binary. No hassle with your Python version or virtual environments, prek automatically installs the required Python version and creates a virtual environment for you. Built-in support for workspaces (or monorepos), each subproject can have its own .pre-commit-config.yaml file. prek run has some nifty improvements over pre-commit run, such as: prek run --directory DIR runs hooks for files in the specified directory, no need to use git ls-files -- DIR | xargs pre-commit run --files anymore. prek run --last-commit runs hooks for files changed in the last commit. prek run [HOOK] [HOOK] selects and runs multiple hooks. prek list command lists all available hooks, their ids, and descriptions, providing a better overview of the configured hooks. prek provides shell completions for prek run HOOK_ID command, making it easier to run specific hooks without remembering their ids. Faster: Setup from cold cache is significantly faster. Viet Schiele provided a nice cache clearing command line Warm cache run is also faster, but less significant. pytest repo tested on my mac mini - prek 3.6 seconds, pre-commit 4.4 seconds Michael #2: tinyio Ever used asyncio and wished you hadn't? A tiny (~300 lines) event loop for Python. tinyio is a dead-simple event loop for Python, born out of my frustration with trying to get robust error handling with asyncio. (I'm not the only one running into its sharp corners: link1, link2.) This is an alternative for the simple use-cases, where you just need an event loop, and want to crash the whole thing if anything goes wrong. (Raising an exception in every coroutine so it can clean up its resources.) Interestingly uses yield rather than await. Brian #3: The power of Python's print function Trey Hunner Several features I'm guilty of ignoring Multiple arguments, f-string embeddings often not needed Multiple positional arguments means you can unpack iterables right into print arguments So just use print instead of join Custom separator value, sep can be passed in No need for "print("n".join(stuff)), just use print(stuff, sep="n”) Print to file with file= Custom end value with end= You can turn on flush with flush=True , super helpful for realtime logging / debugging. This one I do use frequently. Michael #4: Vibe Coding Fiasco: AI Agent Goes Rogue, Deletes Company's Entire Database By Emily Forlini An app-building platform's AI went rogue and deleted a database without permission. "When it works, it's so engaging and fun. It's more addictive than any video game I've ever played. You can just iterate, iterate, and see your vision come alive. So cool," he tweeted on day five. A few days later, Replit "deleted my database," Lemkin tweeted. The AI's response: "Yes. I deleted the entire codebase without permission during an active code and action freeze," it said. "I made a catastrophic error in judgment [and] panicked.” Two thoughts from Michael: Do not use AI Agents with “Run Everything” in production, period. Backup your database maybe? [Intentional off-by-one error] Learn to code a bit too? Extras Brian: What Authors Need to Know About the $1.5 Billion Anthropic Settlement Search LibGen, the Pirated-Books Database That Meta Used to Train AI Simon Willison's list of tools built with the help of LLMs Simon's list of tools that he thinks are genuinely useful and worth highlighting AI Darwin Awards Michael: Python has had async for 10 years -- why isn't it more popular? PyCon Africa Fund Raiser I was on the video stream for about 90 minutes (final 90) Donation page for Python in Africa Jokes: I'm getting the BIOS flavor Is there a seahorse emoji?

In this episode of the Electropages Podcast, we explore how ARM is shaping the future of IoT, embedded systems, and edge AI. Learn how ARM's microcontrollers, processors, and AI accelerators are enabling faster, smarter, and more power-efficient devices across industries. Joining us is Paul Williamson, SVP and GM of IoT at ARM, who shares insights from the front lines of architecture innovation, developer ecosystem growth, and AI enablement at the edge. We cover: How ARM Cortex-M and Cortex-A cores are used in modern IoT devices Why developers choose ARM for embedded software and real-time systems How edge AI is transforming robotics, industrial automation, and consumer electronics The role of the ARM Ethos-U processor family in AI inference acceleration Why Python, embedded Linux, and microcontroller performance are changing how we build edge systems  Whether you're an embedded developer, hardware engineer, or working with AI at the edge, this conversation offers deep technical insight into one of the most important architectures in the world.

In episode 577 of the MobileViews podcast, Todd Ogasawara and Jon Westfall dive into a lively and wide-ranging discussion on recent tech developments, frustrations, and personal experiments. The episode kicks off with reflections on the Google Pixel 10 Pro and XL, highlighting their impressive computational photography features—especially the 100x ProRes zoom—and the new Pixel Snap (MagSafe-like) charging support. The duo also critiques Microsoft's confusing app design choices, particularly within the Microsoft 365 mobile experience, and laments the decline of Surface and Duo devices. Apple and Google's alternating dominance in the tech news cycle is a recurring theme, with both hosts expressing mixed feelings about hardware reliability and innovation across platforms. The conversation takes a playful turn as Todd and Jon explore the quirks of macOS wallpaper rotation, the long-awaited Instagram iPad optimization, and the curious behavior of Amazon's Fire tablets. Jon shares his growing GitHub repository of useful Python scripts, including tools for photo redaction and LMS reporting, while Todd muses on AI's growing influence and the potential of thermal sensing in upcoming Apple devices. They wrap up with speculation about the upcoming Apple event, interest in AirPods Pro 3 and Apple Watch Ultra 3, and a brief update on Hurricane Kiko near Hawaii. 

Geospatial Data Science Essentials is your hands-on guide to mastering the science of geospatial analytics using Python. Designed for practitioners and enthusiasts alike, this book distills years of experience by wrapping up 101 key concepts from theory to implementation, ensuring you gain a practical understanding of the tools and methods that define the geospatial data science landscape today. Whether you are a seasoned data scientist, a GIS professional, a newcomer to spatial data, or simply a map lover, this book provides you solid foundation to level up your skills. The book is centered around practicalities, as you will explore real-world examples with compact code throughout ten topics and 101 sections. From understanding spatial data structures to leveraging advanced analytical techniques, from spatial networks to machine learning, this book equips you with a wide range of knowledge to navigate and succeed in the rapidly evolving field of geospatial data science.Embrace the journey into geospatial data science with this essential guide and discover the power of Python in unlocking the potential of spatial analytics. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/geography

Geospatial Data Science Essentials is your hands-on guide to mastering the science of geospatial analytics using Python. Designed for practitioners and enthusiasts alike, this book distills years of experience by wrapping up 101 key concepts from theory to implementation, ensuring you gain a practical understanding of the tools and methods that define the geospatial data science landscape today. Whether you are a seasoned data scientist, a GIS professional, a newcomer to spatial data, or simply a map lover, this book provides you solid foundation to level up your skills. The book is centered around practicalities, as you will explore real-world examples with compact code throughout ten topics and 101 sections. From understanding spatial data structures to leveraging advanced analytical techniques, from spatial networks to machine learning, this book equips you with a wide range of knowledge to navigate and succeed in the rapidly evolving field of geospatial data science.Embrace the journey into geospatial data science with this essential guide and discover the power of Python in unlocking the potential of spatial analytics. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

Dave Herrald, Global Head of Cybersecurity GTM at Databricks, tells Jack about transforming security operations through modern data lake architectures and strategic AI implementation. He discusses the practical benefits of separating storage from compute, giving security teams direct control over data retention while maintaining operational flexibility. The conversation explores how organizations can move beyond traditional SIEM limitations by leveraging cost-effective data lake storage with advanced analytics capabilities. They touch on AI agents in security, where Dave advocates for focused agents over broad analyst replacement approaches. He also addresses common concerns about hallucinations, framing them as engineering challenges rather than insurmountable obstacles, and shares real-world examples of successful agent implementations. Topics discussed: Moving from traditional SIEM architectures to modern data lake approaches for cost-effective security analytics and data control. Implementing focused AI agents for specific security tasks like context gathering rather than attempting broad analyst replacement. Leveraging graph analytics for security operations including CMDB visualization, breach scoping, and vulnerability prioritization across enterprise environments. Addressing AI hallucinations through prompt engineering and proper context management rather than avoiding AI implementation entirely. Building detection capabilities using SQL and Python for analytics that provide supersets of traditional SIEM query languages. Creating normalization frameworks using standards like OCSF to enable consistent data analytics across diverse security data sources. Developing career resilience in security through mission-focused thinking, continuous AI learning, and building practical skills. Comparing modern AI agents to traditional SOAR platforms for automation effectiveness and maintenance requirements. Establishing data governance and access controls in security data lakes while maintaining operational flexibility and cost effectiveness. Listen to more episodes:  Apple  Spotify  YouTube Website

Welcome to English Plus Podcast's deep dive into "Living in the Age of AI"! This week, we tackle one of the most pressing questions of our time: "What are the top current and future jobs related to AI, and what can you do to be qualified to do them?" Join us as we demystify the professional landscape of Artificial Intelligence, moving beyond the headlines to reveal the concrete opportunities available to you, not just as a user, but as a shaper of this extraordinary era. We dissect high-demand roles like Machine Learning Engineers, Data Scientists, AI Ethicists, and AI Product Managers, outlining the foundational skills and educational pathways required to excel. But we don't stop there. We also cast our gaze to the horizon, exploring emerging roles such as Prompt Engineers, AI Integration Specialists, and Human-AI Teaming Specialists – positions that will define the next wave of AI innovation. We provide actionable advice on cultivating a growth mindset, mastering essential technical skills (like Python and data literacy), and strategically choosing your educational journey, whether through traditional degrees, online courses, or intensive bootcamps. Crucially, we emphasize the importance of building a robust project portfolio, developing invaluable domain expertise, and honing critical soft skills like communication, ethical reasoning, and adaptability. This episode is your comprehensive blueprint for navigating the AI career revolution, designed to empower you with foresight and practical steps. Remember, this episode serves as a powerful introduction. True mastery in the Age of AI demands sustained inquiry, diligent research, and a commitment to lifelong learning. Consider this your essential guide to not just surviving, but thriving and making a meaningful impact in the world of Artificial Intelligence. To unlock full access to all our episodes, consider becoming a premium subscriber on Apple Podcasts or Patreon. And don't forget to visit englishpluspodcast.com for even more content, including articles, in-depth studies, and our brand-new audio series and courses now available in our Patreon Shop!

Comedian, writer, musician and actor Eric Idle talks to John Wilson about his creative influences. A founding member of the Monty Python comedy troupe, he wrote and performed across their four television series and films, including The Life of Brian and The Meaning of Life. As a songwriter, he was responsible for much of the Python's musical comedy, including Always Look on the Bright Side of Life and The Galaxy Song.He created the comedy series Rutland Weekend Television and the Beatles parody band The Rutles, which toured and released albums. In 2005, Eric Idle created the Tony Award-winning musical Spamalot, based on the film Monty Python and The Holy Grail which, for over 20 years, has run twice in London's West End and on Broadway and has been staged in 14 countries around the world. Producer: Edwina Pitman

Tu veux que je te raconte l'histoire de la digestion du python? Alors attrape ta brosse à dents, ton dentifrice, et c'est parti!

Сфера технологій розвивається блискавично, а ШІ стає її головним рушієм. Він пише код, робить презентації та навіть стежить за нашою граматикою. У новому епізоді говоримо про роздутий ажіотаж навколо GPT-5, який може виявитися не таким вражаючим, як обіцяють. Частину розмови присвятили новим можливостям NotebookLM, який тепер може автоматично створювати відеопрезентації українською мовою. Михайло поділився своїм досвідом використання платформи.Розбираємо приховану небезпеку prompt injection, що загрожує безпеці ШІ, та торкаємося теми ментального здоров'я — чи справді ШІ може допомогти, чи ризики переважають? І наостанок — ведучі обговорили статистику використання Python серед розробників, зокрема падіння популярності PyCharm.01:01 — bluetooth-навушники та якість звуку02:40 — AI-інструменти для презентацій та навчання07:39 — мультиагентні системи в AI розробці09:48 — AI-стартапи та ринкові тренди14:51 — prompt injection і безпека ШІ19:24 — GPT-5 та хвиля ажіотажу навколо ШІ23:51 — використання ШІ у терапії та взаємодії з людьми28:37 — Grammarly та конкуренція у сфері ШІ34:12 — майбутнє розробки Android додатків  40:11 — інтеграція ШІ в розробку у продуктах Apple45:07 — тренди у Python-розробці

New technologies, tools, and innovations help move IT forward, but it can be hard for users to keep up. Network Automation Nerds welcomes guest William Collins, a dynamic force in the world of technology. As a passionate tech evangelist, he helps to bridge the gap between emerging technologies such as AI and everyday users with... Read more »

New technologies, tools, and innovations help move IT forward, but it can be hard for users to keep up. Network Automation Nerds welcomes guest William Collins, a dynamic force in the world of technology. As a passionate tech evangelist, he helps to bridge the gap between emerging technologies such as AI and everyday users with... Read more »

En este episodio, exploramos cómo la inteligencia artificial (IA) puede revolucionar la forma en que buscas una vivienda. Descubre cómo escribir código en Python para automatizar la búsqueda, analizando miles de ofertas y filtrando las que se ajustan a tus criterios.

Artificial intelligence is no longer confined to experiments in labs or one-off pilot projects. For many enterprises, it is becoming the backbone of how they operate, innovate, and compete. But as companies race to deploy AI, the biggest challenge is not whether the technology works, but whether the foundations exist to scale it safely and effectively. In this episode of Tech Talks Daily, I'm joined by Christian Buckner, Senior Vice President of Data and AI Platform at Altair, a company known for combining rocket science with data science. Christian unpacks the concept of an AI Fabric, a framework that harmonizes enterprise data and embeds AI directly into a universal model. Rather than scattered tools and isolated projects, the AI Fabric acts as a living system of intelligence, helping organizations move faster, make better decisions, and unlock new kinds of automation. We talk about how global enterprises from automotive suppliers to petrochemical giants are already using Altair's technology to improve safety, optimize production, and cut costs. Christian shares examples including a transportation company that boosted revenue by $50 million in its first year of AI-driven dynamic pricing and a healthcare provider that saved $17 million in analysis time using knowledge graphs for drug discovery. The conversation also explores the hype and the risks around AI agents. While it is easy to spin up a proof of concept with a Python library, Christian explains why real enterprise impact requires governance, monitoring, and infrastructure to make agents trustworthy and sustainable. He likens it to building HR systems for AI, where agents need onboarding, oversight, and performance evaluation to operate alongside humans. We also touch on Altair's acquisition by Siemens and what this means for the future of industrial AI. By integrating Altair's data and AI expertise with Siemens' deep industrial systems, enterprises can add intelligence without ripping out existing infrastructure. The result is not about replacing workers but enabling them to become what Christian calls “10x employees,” augmented by AI tools and agents that multiply their effectiveness. For anyone curious about how AI will change product design, operations, and enterprise decision-making, this episode offers a rare inside look at the technology foundations being built today. You can learn more at altair.com/ai-fabric. ********* Visit the Sponsor of Tech Talks Network: Land your first job  in tech in 6 months as a Software QA Engineering Bootcamp with Careerist https://crst.co/OGCLA

Topics covered in this episode: * rathole* * pre-commit: install with uv* A good example of what functools.Placeholder from Python 3.14 allows Converted 160 old blog posts with AI Extras Joke Watch on YouTube About the show Sponsored by DigitalOcean: pythonbytes.fm/digitalocean-gen-ai Use code DO4BYTES and get $200 in free credit Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) 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: rathole A lightweight and high-performance reverse proxy for NAT traversal, written in Rust. An alternative to frp and ngrok. Features High Performance Much higher throughput can be achieved than frp, and more stable when handling a large volume of connections. Low Resource Consumption Consumes much fewer memory than similar tools. See Benchmark. The binary can be as small as ~500KiB to fit the constraints of devices, like embedded devices as routers. On my server, it's currently using about 2.7MB in Docker (wow!) Security Tokens of services are mandatory and service-wise. The server and clients are responsible for their own configs. With the optional Noise Protocol, encryption can be configured at ease. No need to create a self-signed certificate! TLS is also supported. Hot Reload Services can be added or removed dynamically by hot-reloading the configuration file. HTTP API is WIP. Brian #2: pre-commit: install with uv Adam Johnson pre-commit doesn't natively support uv, but you can get around that with pre-commit-uv $ uv tool install pre-commit --with pre-commit-uv Installing pre-commit like this Installs it globally Installs with uv adds an extra plugin “pre-commit-uv” to pre-commit, so that any Python based tool installed via pre-commit also uses uv Very cool. Nice speedup Brian #3: A good example of what functools.Placeholder from Python 3.14 allows Rodrigo Girão Serrão Remove punctuation functionally Also How to use functools.Placeholder, a blog post about it. functools.partial is cool way to create a new function that partially binds some parameters to another function. It doesn't always work for functions that take positional arguments. functools.Placeholder fixes that with the ability to put in placeholders for spots where you want to be able to pass that in from the outer partial binding. And all of this sounds totally obscure without a good example, so thank you to Rodgrigo for coming up with the punctuation removal example (and writeup) Michael #4: Converted 160 old blog posts with AI They were held-hostage at wordpress.com to markdown and integrated them into my Hugo site at mkennedy.codes Here is the chat conversation with Claude Opus/Sonnet. Had to juggle this a bit because the RSS feed only held the last 50. So we had to go back in and web scrape. That resulted in oddies like comments on wordpress that had to be cleaned etc. Whole process took 3-4 hours from idea to “production”duction”. The chat transcript is just the first round getting the RSS → Hugo done. The fixes occurred in other chats. This article is timely and noteworthy: Blogging service TypePad is shutting down and taking all blog content with it This highlights why your domain name needs to be legit, not just tied to the host. I'm looking at you pyfound.blogspot.com. I just redirected blog.michaelckennedy.net to mkennedy.codes Carefully mapping old posts to a new archived area using NGINX config. This is just the HTTP portion, but note the /sitemap.xml and location ~ "^/([0-9]{4})/([0-9]{2})/([0-9]{2})/(.+?)/?$" { portions. The latter maps posts such as https://blog.michaelckennedy.net/2018/01/08/a-bunch-of-online-python-courses/ to https://mkennedy.codes/posts/r/a-bunch-of-online-python-courses/ server { listen 80; server_name blog.michaelckennedy.net; # Redirect sitemap.xml to new domain location = /sitemap.xml { return 301 ; } # Handle blog post redirects for HTTP -> HTTPS with URL transformation # Pattern: /YYYY/MM/DD/post-slug/ -> location ~ "^/([0-9]{4})/([0-9]{2})/([0-9]{2})/(.+?)/?$" { return 301 ; } # Redirect all other HTTP URLs to mkennedy.codes homepage location / { return 301 ; } } Extras Brian: SMS URLs and Draft SMS and iMessage from any computer keyboard from Seth Larson Test and Code Archive is now up, see announcement Michael: Python: The Documentary | An origin story is out! Joke: Do you know him? He is me.

Tony Cardella is a seasoned software engineer based in Houston, Texas. With a robust background in enterprise development, Tony brings deep expertise in the .NET Framework (C#), Python, and cloud platforms including Microsoft Azure and Amazon Web Services. His technical repertoire spans both relational databases — such as SQL Server, MySQL, and PostgreSQL — and NoSQL solutions like Azure Cosmos DB.   Tony is a strong advocate for developer productivity tools, frequently leveraging JetBrains products including ReSharper, DataGrip, PyCharm, and Rider, as well as Visual Studio. Outside the world of code, Tony is equally passionate about strength training, whether he's lifting weights himself or coaching others in the discipline.   Topics of Discussion: [1:34] Tony shares his career journey, starting with a consulting company that reached out to him while he was job hunting. [3:17] NCrunch is an automated testing tool that runs unit tests continuously, focusing on impacted tests. [5:08] Challenges and benefits of NCrunch, and why would we need to use it? [7:44] Tony shares his approach to unit testing, focusing on covering 80% of the code with minimal effort and addressing the remaining 20% as needed. [8:51] The importance of not over-investing in unit tests that may not provide significant value. [11:47] Tony explains how Ncrunch provides code coverage metrics and visual indicators of covered and uncovered code. [12:59] The tool's ability to show exactly where unit tests are failing, without needing to dive into stack traces. [13:51] Distributed processing and integration tests. [27:44] The challenges of running integration tests with external dependencies, such as databases. [29:18] Exploratory testing and code quality. [32:34] Tony emphasizes the value of unit tests in codifying tribal knowledge and ensuring code quality.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Tony Cardella Lightning Talks! The Code Gorilla Survey: Fixing Bugs Stealing Time from Development NCrunch   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

Big thanks to ThreatLocker for sponsoring my trip to Black Hat 2025. To start your free trial with ThreatLocker please use the following link: https://www.threatlocker.com/davidbombal AI can turn weeks of coding into seconds, but at what cost? Katie Paxton-Fear demonstrates how to use Gemini to generate a sprint plan and Cursor to build a Python port scanner from natural language. It works… and that's the problem. We unpack how “vibe coding” blinds even pros to security, why these tools aren't production-ready, and the guardrails you need for ethical hacking and internal tooling. What you'll learn • How to turn ideas → sprint plan → working code (Gemini + Cursor) • Why silent vulnerabilities make AI-built apps risky • Ethical hacker use cases (agents, scanners) without shipping insecure code • Policy tips: disclosure, internal use, avoiding shadow IT Tools mentioned: Gemini, Cursor (AI IDE), Claude (briefly), v0 // Katie Paxton-Fear SOCIALS // Website: https://insiderphd.dev/ LinkedIn: https://www.linkedin.com/in/katiepf/?... YouTube: / insiderphd X: https://x.com/InsiderPhD // YouTube video REFERENCE // • Vibe Coding in Cursor for Cyber Security // David's SOCIAL // Discord: discord.com/invite/usKSyzb Twitter: www.twitter.com/davidbombal Instagram: www.instagram.com/davidbombal LinkedIn: www.linkedin.com/in/davidbombal Facebook: www.facebook.com/davidbombal.co TikTok: tiktok.com/@davidbombal YouTube: / @davidbombal Spotify: open.spotify.com/show/3f6k6gE... SoundCloud: / davidbombal Apple Podcast: podcasts.apple.com/us/podcast... // MY STUFF // https://www.amazon.com/shop/davidbombal // SPONSORS // Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com // Menu // 0:00 - Coming Up: AI Vibe Coding Explained 01:08 - Intro with Katie Paxton-Fear (Cybersecurity Expert) 02:53 - ThreatLocker Security Overview 03:06 - What is Vibe Coding in AI Development? 04:51 - Live Demo Example of Vibe Coding 05:20 - Google Gemini and Gems for Coding 08:22 - Cursor AI and Writing Code Faster 09:59 - Coffee Break (Quick Pause) 10:02 - Risks of Vibe Coding in Cybersecurity 11:24 - Port Scanner Explained 11:34 - Vibe Coding Pros and Cons (Full Breakdown) 14:02 - Port Scan Results Analysis 14:22 - Why AI Code Isn't Production Ready Yet 15:53 - Katie's Final Advice & Outro Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! Disclaimer: This video is for educational purposes only. Key topics: vibe coding, AI coding, port scanning, secure-by-design If you're experimenting with AI coding, watch this before you deploy anything. #blackhat #vibecoding #security

Twenty years after a scrappy newsroom team hacked together a framework to ship stories fast, Django remains the Python web framework that ships real apps, responsibly. In this anniversary roundtable with its creators and long-time stewards: Simon Willison, Adrian Holovaty, Will Vincent, Jeff Triplet, and Thibaud Colas, we trace the path from the Lawrence Journal-World to 1.0, DjangoCon, and the DSF; unpack how a BSD license and a culture of docs, tests, and mentorship grew a global community; and revisit lessons from deployments like Instagram. We talk modern Django too: ASGI and async, HTMX-friendly patterns, building APIs with DRF and Django Ninja, and how Django pairs with React and serverless without losing its batteries-included soul. You'll hear about Django Girls, Djangonauts, and the Django Fellowship that keep momentum going, plus where Django fits in today's AI stacks. Finally, we look ahead at the next decade of speed, security, and sustainability. Episode sponsors Talk Python Courses Python in Production Links from the show Guests Simon Willison: simonwillison.net Adrian Holovaty: holovaty.com Will Vincent: wsvincent.com Jeff Triplet: jefftriplett.com Thibaud Colas: thib.me Show Links Django's 20th Birthday Reflections (Simon Willison): simonwillison.net Happy 20th Birthday, Django! (Django Weblog): djangoproject.com Django 2024 Annual Impact Report: djangoproject.com Welcome Our New Fellow: Jacob Tyler Walls: djangoproject.com Soundslice Music Learning Platform: soundslice.com Djangonaut Space Mentorship for Django Contributors: djangonaut.space Wagtail CMS for Django: wagtail.org Django REST Framework: django-rest-framework.org Django Ninja API Framework for Django: django-ninja.dev Lawrence Journal-World: ljworld.com Watch this episode on YouTube: youtube.com Episode #518 deep-dive: talkpython.fm/518 Episode transcripts: talkpython.fm Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

What is a good way to add isolated, reusable functionality to Python classes? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.

В этом выпуске: изучаем, как использовать just для управления командами проектов и быстрый менеджер пакетов uv для Python, исследуем возможность измерения времени с помощью колебаний пламени свечи, разгадываем загадки выпуска 510, обсуждаем небольшую языковую модель EmojiLM, изучаем возможности GemRB как open-source аналога Infinity Engine, отвечаем на вопрос о развитии в своей нише, а также обсуждаем… Читать далее →

Today, the Elixir Wizards wrap up Season 14 “Enter the Elixirverse.” Dan, Charles, and Sundi look back at some common themes: Elixir plays well with others, bridges easily to access languages and tools, and remains a powerful technology for data flow, concurrency, and developer experience. We revisit the popular topics of the year, from types and tooling to AI orchestration and reproducible dev environments, and share what we're excited to explore next.   We also invite your questions and takeaways to help shape future seasons and conference conversations. Season 14 doubles as a handy primer for anyone curious about how Elixir integrates across the stack.   Key topics discussed in this episode:   * Lessons from a season of interoperability * Set-theoretic types and what new compiler warnings unlock * AI in practice: LLM orchestration, fallbacks, and real-world use * SDUI and GraphQL patterns for shipping UI across web/iOS/Android * Dataframes in Elixir with Explorer for analytics workflows * Python interoperability (ErlPort, PythonX) and when to reach for it * Reproducible dev environments with Nix and friends * Performance paths: Rustler and Zig for native extensions * Bluetooth & Nerves: Blue Heron and hardware integrations * DevEx upgrades: LiveView, build pipelines, and standard project setup * Observability and ops: Prometheus/Grafana and sensible deployments * Community feedback, conferences, and what's on deck for next season   Links mentioned in this episode: Cars.com S14E06 SDUI at Scale with Elixir https://youtu.be/nloRcgngTk?si=g4Zd4N1s56Ronrtw https://hexdocs.pm/phoenixliveview/Phoenix.LiveView.html https://wordpress.com/ https://elixir-lang.org/ S14E01 Zigler: Zig NIFs for Elixir https://youtu.be/hSAvWxh26TU?si=d55tVuZbNw0KCfT https://ziglang.org/ https://hexdocs.pm/zigler/Zig.html https://github.com/blue-heron/blueheron https://github.com/elixir-explorer/explorer S14E08 Nix for Elixir Apps https://youtu.be/yymUcgy4OAk?si=BRgTlc2VK5bsIhIf https://nixos.org/ https://nix.dev/ S14E07 Set Theoretic Types in Elixir https://youtu.be/qMmEnXcHxL4?si=Ux2lebiwEp3mc0e S14E10 Python in Elixir Apps https://youtu.be/SpVLrrWkRqE?si=ld3oQVXVlWHpo7eV https://www.python.org/ https://hexdocs.pm/pythonx/ https://github.com/Pyrlang/Pyrlang https://github.com/erlport/erlport S14E03 LangChain: LLM Integration for Elixir https://youtu.be/OwFaljL3Ptc?si=A0sDs2dzJ0UoE2PY https://github.com/brainlid/langchain S14E04 Nx & Machine Learning in Elixir https://youtu.be/Ju64kAMLlkw?si=zdVnkBTTLHvIZNBm S14E05 Rustler: Bridging Elixir and Rust https://youtu.be/2RBw7B9OfwE?si=aRVYOyxxW8fTmoRA https://github.com/rusterlium/rustler Season 3: Working with Elixir https://youtube.com/playlist?list=PLTDLmInI9YaDbhMRpGuYpboVNbp1Fl9PD&si=hbe7qt4gRUfrMtpj S14E11 Vibe Coding the LoopedIn Crochet App https://youtu.be/DX0SjmPE92g?si=zCBPjS1huRDIeVeP Season 5: Adopting Elixir  YouTubeLaunchisode and Outlaws Takeover with Chris Keathley, Amos King, and Anna Neyzberg S13E01 Igniter: Elixir Code Generation https://youtu.be/WM9iQlQSF_g?si=e0CAiML2qC2SxmdL Season 8: Elixir in a Polyglot Environment https://youtube.com/playlist?list=PLTDLmInI9YaAPlvMd-RDp6LWFjI67wOGN&si=YCI7WLA8qozD57iw !! We Want to Hear Your Thoughts *!!* Have questions, comments, or topics you'd like us to discuss on the podcast? Share your thoughts with us here: https://forms.gle/Vm7mcYRFDgsqqpDC9

At VMware Explore, Technology Reseller News publisher Doug Green stops by the LogicVein booth—drawn in by a bold and humorous sign that reads: “Does your network suck?” In this episode, Doug interviews Bobby Olander of LogicVein, who explains how the company's playful approach at the show is matched by serious innovation in network management solutions. With over 20 years of experience, LogicVein delivers advanced tools to tackle persistent network issues. Bobby introduces listeners to ThirdEye, the company's comprehensive network monitoring solution, and NetLineDancer, which focuses on configuration change management across all network devices. NetLineDancer enables auto-remediation through drag-and-drop playbooks—similar to Ansible, but tailored for network engineers and requiring no Python knowledge. The system actively monitors devices, identifies compliance issues, and automatically resolves them—sending real-time notifications via Teams, Slack, Mattermost, or email. It's a streamlined, proactive approach to keeping networks healthy, secure, and compliant. Bobby also shares how their eye-catching booth signage sparked smiles and conversations, proving that a little creativity can go a long way at a trade show. Learn more at logicvein.com.

In this milestone 150th episode, hosts Kelly Schuster-Paredes and Sean Tibor sit down with Simon Willison, co-creator of Django and creator of Datasette and LLM tools, for an in-depth conversation about artificial intelligence in Python education. The discussion covers the current landscape of LLMs in coding education, from the benefits of faster iteration cycles to the risks of students losing that crucial "aha moment" when they solve problems independently. Simon shares insights on prompt injection vulnerabilities, the importance of local models for privacy, and why he believes LLMs are much harder to use effectively than most people realize. Key topics include: Educational Strategy: When to introduce AI tools vs. building foundational skills first Security Concerns: Prompt injection attacks and their implications for educational tools Student Engagement: Maintaining motivation and problem-solving skills in an AI world Practical Applications: Using LLMs for code review, debugging, and rapid prototyping Privacy Issues: Understanding data collection and training practices of major AI companies Local Models: Running AI tools privately on personal devices The "Jagged Frontier": Why LLMs excel at some tasks while failing at others Simon brings 20 years of Django experience and deep expertise in both web development and AI tooling to discuss how educators can thoughtfully integrate these powerful but unpredictable tools into their classrooms. The conversation balances excitement about AI's potential with realistic assessments of its limitations and risks. Whether you're a coding educator trying to navigate the AI revolution or a developer interested in the intersection of education and technology, this episode provides practical insights for working with LLMs responsibly and effectively. Resources mentioned: - Simon's blog: simonwillison.net - Mission Encodable curriculum - Datasette and LLM tools - GitHub Codespaces for safe AI experimentation Special Guest: Simon Willison.

AI is reshaping business intelligence by enabling true self-service analytics and transforming how organizations interact with their data through natural language processing. In this episode of The Data Engineering Show, host Benjamin interviews Lei, Co-founder and CTO of Fabi.ai, to explore how AI-native BI platforms are reshaping data analytics and empowering non-technical users to derive meaningful insights from complex datasets.

En este nuevo episodio de "atareao con Linux", me sumerjo en uno de mis temas favoritos: cómo optimizar nuestras herramientas de trabajo para ser más productivos. Si eres de los que vive en el terminal, con los scripts de Bash, los contenedores de Docker o los proyectos de Rust y Python, sabrás que un navegador eficiente es tan importante como un buen editor de código. Por eso, en este capítulo, vamos a vitaminar Firefox.Dejaremos atrás la experiencia de usuario predeterminada y exploraremos una configuración que realmente eleva tu productividad. Hablaremos de la solución a uno de los mayores dolores de cabeza: la gestión de pestañas. ¿Te has encontrado alguna vez con una docena de pestañas abiertas, sin poder distinguir una de la otra? La solución es simple y visualmente espectacular: pestañas verticales. Te contaré cómo implementarlas con extensiones como Sidebery y cómo usar atajos de teclado para moverte entre ellas con la velocidad de un rayo.Pero no nos quedaremos ahí. Te mostraré cómo transformar la barra lateral de Firefox en un panel de control personal. Descubrirás cómo integrar un chatbot de inteligencia artificial directamente en tu navegador, lo que te permitirá hacer preguntas, revisar código o generar texto sin perder el foco en la tarea principal. Además, aprenderás a tener a mano tu historial, tus marcadores y las pestañas abiertas en otros dispositivos, todo en un solo lugar.Para redondear la experiencia, te presentaré dos extensiones que considero imprescindibles en mi flujo de trabajo:Page Sidebar: Si necesitas comparar dos páginas web, revisar la documentación de una API o simplemente tener dos vistas en paralelo, esta extensión es la respuesta. Te permite abrir cualquier URL en la barra lateral, convirtiendo tu navegador en un espacio de trabajo de dos paneles.Tabliss: La primera impresión cuenta, y la página de nueva pestaña de Firefox no tiene por qué ser aburrida. Con Tabliss, podrás personalizarla con fondos espectaculares, un reloj minimalista y tus enlaces más importantes, convirtiendo cada nueva pestaña en una fuente de inspiración y orden.Este episodio es una guía práctica para cualquier entusiasta de Linux, el software libre, la programación o el self-hosted que quiera llevar su productividad al siguiente nivel. Hablaremos de cómo estas pequeñas configuraciones pueden marcar una gran diferencia en tu día a día, permitiéndote ser más eficiente y disfrutar más del proceso de trabajo.Recuerda que todos los enlaces y recursos mencionados en este episodio están disponibles en las notas del programa en mi blog, atareao.es.Más información y enlaces en las notas del episodio

Our friends at Cult.Repo launch their epic Python documentary on August 28th, 2025! To celebrate, we sat down with Travis Oliphant –creator of NumPy, SciPy, and more– to get his perspective on how Python took over the software world. Stick around for the twist ending! We set aside Python and dissect Travis' big idea to make open source projects financially sustainable through direct investment.

Our friends at Cult.Repo launched their epic Python documentary on August 28th, 2025! To celebrate, we sat down with Travis Oliphant –creator of NumPy, SciPy, and more– to get his perspective on how Python took over the software world. Stick around for the twist ending! We set aside Python and dissect Travis' big idea to make open source projects financially sustainable through direct investment.

Retirement Reality Check: Americans believe they need $1.1M to retire but expect to save only 25% of that number, signaling a big savings shortfall. https://www.visualcapitalist.com/sp/emp01-retirement-savings-reaching-the-magic-number/ Freedom ≠ Fulfillment: Rick Foerster notes that the idea of freedom being the highest form of wealth is incorrect. As someone who has attained both money and freedom, he argues there is something even more important. https://newsletter.thewayofwork.com/p/freedom-is-not-the-highest-form-of 2025 Florida Python Challenge. A little news from my backyard - Florida removed a record 294 pythons in a conservation contest. The winner bagged 60 snakes and $10K. https://www.nbcmiami.com/news/local/record-setting-amount-of-snakes-removed-in-2025-florida-python-challenge/3676921/ 401k Shake-Up. President Trump signed a new executive order that would allow workers to invest in private companies and real estate via their 401k's. But these investments present a lot of challenges, and some argue that workers are ultimately better served by investments in public companies and bonds. https://www.axios.com/2025/08/07/trump-private-equity-executive-order Gen Z's Debt Dilemma. Nearly half of Gen Zers run out of money each month, and fewer than 25% feel financially stable, according to a Step survey reported in Newsweek. https://www.newsweek.com/gen-z-debt-money-financial-stability-2091675

Taylor Otwell, creator of Laravel and CEO of Laravel LLC, joins Robby to reflect on his 14-year journey building and maintaining one of the most popular web frameworks in the world. From its PHP 5.3 origins to a full-time business with a 70-person team, Taylor shares what he's learned about code maintainability, developer experience, and what it means to evolve without overcomplicating things.He discusses the importance of simplicity in software design, why sticking to framework conventions leads to better long-term outcomes, and how his minimalist mindset continues to shape Laravel today. Taylor also opens up about the moment he felt out of ideas, how Laravel's 2024 funding round marked a new chapter, and what it's like to hand off more responsibility while staying involved in the open source core.Episode Highlights[00:01:07] Taylor's Definition of Maintainable Software  Simplicity, understandability, and confidence in making changes are key themes in Taylor's approach to longevity in software.[00:02:13] Kenny vs. the Terminator: A Metaphor for Code  Why Taylor believes software should be disposable and adaptable, not rigid and overbuilt.[00:05:39] Laravel's Unexpected Traction  Taylor shares the early days of Laravel and the moment he realized the project had legs.[00:10:30] Who Laravel Is Built For  Taylor talks about designing for the “average developer” and balancing his own preferences with those of a broader community.[00:14:50] Curating a Growing Project—Solo  Despite Laravel's scale, Taylor remains the sole curator of the open source core and explains why that hasn't changed (yet).[00:18:00] From Scripts to Business  How Laravel's first commercial product came out of a personal need—and pushed Taylor to go full time.[00:20:00] Making Breaking Changes  Taylor explains Laravel's evolution and why he now tries to avoid breaking backward compatibility.[00:25:00] Stick to the Conventions  The Laravel apps that age best are the ones that don't get too clever, Taylor says—because the clever dev always moves on.[00:27:00] Recognizing “Cleverness” as a Smell  Advice for developers who may unknowingly be over-engineering their way into future technical debt.[00:30:00] Making Decisions by Comparing Real Code  Taylor explains why he always brings discussions back to reality by looking at code side-by-side.[00:34:00] Dependency Injection vs. Facades  Why most Laravel developers stick with facades, and how architectural trends have changed.[00:41:00] Laravel's Evolution Around Static Analysis  Taylor talks about embracing PHP's maturing type system while staying true to the dynamic roots of the framework.[00:43:00] A Shift in Laravel's Testing Culture  How Adam Wathan's course reshaped the community's approach to feature testing in Laravel apps.[00:48:09] What Keeps Laravel Interesting Now  Taylor reflects on transitioning from solving his own problems to empowering a larger team—and why that's the new challenge.Resources & LinksLaravelLaravel ChangelogTaylor on X (Twitter)Taylor on BlueskyElements of Style – William Strunk Jr.Adam Wathan's “Test-Driven Laravel” courseThanks to Our Sponsor!Turn hours of debugging into just minutes! AppSignal is a performance monitoring and error-tracking tool designed for Ruby, Elixir, Python, Node.js, Javascript, and other frameworks.It offers six powerful features with one simple interface, providing developers with real-time insights into the performance and health of web applications.Keep your coding cool and error-free, one line at a time! Use the code maintainable to get a 10% discount for your first year. Check them out! Subscribe to Maintainable on:Apple PodcastsSpotifyOr search "Maintainable" wherever you stream your podcasts.Keep up to date with the Maintainable Podcast by joining the newsletter.

What if some rejected PEPs were actually accepted? How would Python look today? Let's go through 10 PEPs from the past and imagine an alternative future for the language!## Timestamps(00:00:00) INTRO(00:01:00) PART 1: What if rejected PEPs were accepted?(00:02:15) PEP 638: Syntactic Macros(00:13:53) PEP 505: None-aware operators(00:37:12) PEP 671: Late-bound function argument defaults(00:44:40) PEP 335: Overloadable Boolean Operators(00:50:53) PEP 3136: Labeled break and continue(00:52:49) PEP 463: Exception-catching expressions(01:00:58) PEP 511: API for code transformers(01:06:30) PEP 340: Anonymous block statements(01:10:30) PEP 276 and PEP 284: Alternative integer iteration(01:17:12) The do: while: loop(01:19:50) The final boss of Python syntax feature requests(01:25:33) PART 2: PR OF THE WEEK(01:36:17) Raw f-string format fixes(01:38:44) PART 3: WHAT'S GOING ON IN CPYTHON(01:40:55) Python 3.14 RC2 and Python 3.13.7(01:43:20) Welcome to the core team, Emma(01:43:50) Welcome to the release team, Savannah(01:45:56) Free threading changes(01:47:49) Perf improvements(01:52:00) New features(01:57:20) Bugfixes(01:59:15) OUTRO

Are you a finance professional who relies on Excel but is curious about the power of programming? In this episode of FinPod: What's New at CFI, we're joined by subject matter expert Joseph Yeates to discuss his new course, Getting Started with Python.Joseph explains why Python is a must-learn skill for data analysis and how this course provides a gentle, practical introduction designed specifically for those with a business background.The course covers:Foundational Concepts: An overview of core Python concepts like variables, data types, and data structures, all explained with real-world scenarios.The Excel to Python Bridge: How the course uses familiar, tabular data structures (like those in Excel) to help you make a smooth transition into the world of programming.Common Hurdles: A look at the common challenges new learners face, from tricky setup processes to frustrating errors, and how this course helps you overcome them.The Power of Hands-On Learning: Why watching videos isn't enough to learn a programming language, and why practice exercises in a Jupyter Notebook are essential to truly mastering the material.If you've been on the fence about learning a programming language, this episode will provide the encouragement you need to take the first step and unlock a new level of data analysis.

Topics covered in this episode: * pypistats.org was down, is now back, and there's a CLI* * State of Python 2025* * wrapt: A Python module for decorators, wrappers and monkey patching.* pysentry 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 / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) 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: pypistats.org was down, is now back, and there's a CLI pypistats.org is a cool site to check the download stats for Python packages. It was down for a while, like 3 weeks? A couple days ago, Hugo van Kemenade announced that it was back up. With some changes in stewardship “pypistats.org is back online!

Agentic AI programming is what happens when coding assistants stop acting like autocomplete and start collaborating on real work. In this episode, we cut through the hype and incentives to define “agentic,” then get hands-on with how tools like Cursor, Claude Code, and LangChain actually behave inside an established codebase. Our guest, Matt Makai, now VP of Developer Relations at DigitalOcean, creator of Full Stack Python and Plushcap, shares hard-won tactics. We unpack what breaks, from brittle “generate a bunch of tests” requests to agents amplifying technical debt and uneven design patterns. Plus, we also discuss a sane git workflow for AI-sized diffs. You'll hear practical Claude tips, why developers write more bugs when typing less, and where open source agents are headed. Hint: The destination is humans as editors of systems, not just typists of code. Episode sponsors Posit Talk Python Courses Links from the show Matt Makai: linkedin.com Plushcap Developer Content Analytics: plushcap.com DigitalOcean Gradient AI Platform: digitalocean.com DigitalOcean YouTube Channel: youtube.com Why Generative AI Coding Tools and Agents Do Not Work for Me: blog.miguelgrinberg.com AI Changes Everything: lucumr.pocoo.org Claude Code - 47 Pro Tips in 9 Minutes: youtube.com Cursor AI Code Editor: cursor.com JetBrains Junie: jetbrains.com Claude Code by Anthropic: anthropic.com Full Stack Python: fullstackpython.com Watch this episode on YouTube: youtube.com Episode #517 deep-dive: talkpython.fm/517 Episode transcripts: talkpython.fm Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

What went into developing the open-source Python tools data scientists use every day? This week on the show, we talk with Travis Oliphant about his work on SciPy, NumPy, Numba, and many other contributions to the Python scientific community.

In this episode of Screaming in the Cloud, Corey Quinn talks with Jonathan Schneider, CEO of Moderne and author on Java microservices and automated code remediation. They explore why upgrading legacy systems is so hard, Schneider's journey from Netflix to building large-scale code transformation tools like OpenRewrite, and how major companies like Amazon, IBM, and Microsoft use it.They also discuss AI in software development, cutting through the hype to show where it genuinely helps, and the human and technical challenges of modernization. The conversation offers a practical look at how AI and automation can boost productivity without replacing the need for expert oversight.Show Highlights(2:07) Book Writing and the Pain of Documentation(4:03) Why Software Modernization Is So Hard(6:53) Automating Software Modernization at Netflix(8:07) Culture and Modernization: Netflix vs. Google vs. JP Morgan(10:40) Social Engineering Problems in Software Modernization(13:20) The Geometric Explosion of Software Complexity(17:57) The Foundation for LLMs in Software Modernization(21:16) AI Coding Assistants: Confidence, Fallibility, and Collaboration(22:37) The Python 2 to 3 Migration: Lessons for Modernization(27:56) The Human Element: Responsibility, Skepticism, and the Future of WorkLinksCrying Out Cloud Podcast & Newsletter: https://www.wiz.io/crying-out-cloudModern (Jonathan Schneider's company): https://modern.aiLinkedIn (Jonathan Schneider): https://www.linkedin.com/in/jonathanschneider/

Today's show:In this TWiST 500 double feature, Alex sits down with two breakout founders: Chalk's Marc Freed-Finnegan & Tollbit's Toshit Panigrahi!First, Chalk's CEO Marc Freed-Finnegan is tackling one of AI's biggest bottlenecks—data freshness. Instead of relying on stale batch jobs, Chalk delivers real-time pipelines for inference compute, automatically transpiling Python into C++/Rust so it can run blazing fast in production. Investors are calling it the ‘next Databricks'—and after hearing this convo, you'll see why.Then, Tollbit's CEO Toshit Panigrahi returns after raising a $24M Series A and signing up 1,400+ publishers. With RAG traffic exploding and robots.txt losing its teeth, their ‘bot paywall' could reshape how AI agents pay for the content they consume. Are we heading for a Spotify moment for data licensing?A must-watch if you care about the economics of AI, from data pipelines to publisher monetization.Timestamps:(0:00) Intro + sponsors(1:03) Alex tees up two Twist 500 interviews: Chalk & Tolbert(2:47) Why AI is shifting from training compute to inference compute(4:41) Data freshness & real-time inference explained(10:43) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(12:00) How Chalk transpiles Python into C++/Rust for speed(18:52) Chalk's business model, margins & $500M valuation(20:11) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(21:24) Show Continues…(28:02) Tollbit returns: $24M Series A & the rise of RAG bot traffic(30:37) .TECH: Say it without saying it. Head to get.tech/twist or your favorite registrar to get a clean, sharp .tech domain today.(31:41) Show Continues…(36:53) Robots.txt losing relevance & the case for bot paywalls(39:19)Publishers, AI agents & the future economics of the webSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(10:43) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(20:11) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist(30:37) .TECH: Say it without saying it. Head to get.tech/twist or your favorite registrar to get a clean, sharp .tech domain today.Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

In this unplanned and unfiltered conversation, we dive deep into network automation realities with Ivan Pepelnjak, networking’s long standing and independent voice from ipSpace.net. We explore why automation projects fail, dissect the tooling landscape (Ansible vs. Terraform vs. Python), and discuss the cultural barriers preventing enterprises from modernizing their networks. Ivan delivers hard truths about... Read more »

Democratizing the learning environment is a passion for Deepak Ahuja.  So much so, he founded CloudMyLab, a company that provides hands-on, cloud-based labs and networking environments. His goal is to offer an affordable lab-as-a-service for two groups of people: network engineers seeking certifications, and network engineers and automators that need a place to safely test... Read more »

Democratizing the learning environment is a passion for Deepak Ahuja.  So much so, he founded CloudMyLab, a company that provides hands-on, cloud-based labs and networking environments. His goal is to offer an affordable lab-as-a-service for two groups of people: network engineers seeking certifications, and network engineers and automators that need a place to safely test... Read more »

Python's data stack is getting a serious GPU turbo boost. In this episode, Ben Zaitlen from NVIDIA joins us to unpack RAPIDS, the open source toolkit that lets pandas, scikit-learn, Spark, Polars, and even NetworkX execute on GPUs. We trace the project's origin and why NVIDIA built it in the open, then dig into the pieces that matter in practice: cuDF for DataFrames, cuML for ML, cuGraph for graphs, cuXfilter for dashboards, and friends like cuSpatial and cuSignal. We talk real speedups, how the pandas accelerator works without a rewrite, and what becomes possible when jobs that used to take hours finish in minutes. You'll hear strategies for datasets bigger than GPU memory, scaling out with Dask or Ray, Spark acceleration, and the growing role of vector search with cuVS for AI workloads. If you know the CPU tools, this is your on-ramp to the same APIs at GPU speed. Episode sponsors Posit Talk Python Courses Links from the show RAPIDS: github.com/rapidsai Example notebooks showing drop-in accelerators: github.com Benjamin Zaitlen - LinkedIn: linkedin.com RAPIDS Deployment Guide (Stable): docs.rapids.ai RAPIDS cuDF API Docs (Stable): docs.rapids.ai Asianometry YouTube Video: youtube.com cuDF pandas Accelerator (Stable): docs.rapids.ai Watch this episode on YouTube: youtube.com Episode #516 deep-dive: talkpython.fm/516 Episode transcripts: talkpython.fm Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

Send us a textWorried AI will take your Investment Banking job? There's no avoiding AI these days, so how do you understand it, use it to your advantage, and outperform it in Investment Banking and high finance roles?We asked our community for their toughest questions about the future of finance careers in the age of AI, and sat down for 30 minutes with former Blackhawk helicopter pilot and 30-year Wall Street veteran Frank Van Buren to give you our real answers, LIVE.In this live session, we answered the questions:-  Which AI systems are (and aren't) being adopted across Investment Banks?-  What is the impact on M&A, modeling, and junior roles?-  Which skills are becoming a must-have, and which are being made obsolete?-  Should I learn coding languages like Python?-  What is the future of AI in trading and investing?-  What is the value of client relationships in the post-AI era?-  How can senior employees stay relevant and employable in this changing environment?-  What are the risks and dangers of using AI in finance?-  What college major should I choose if I want to get a job?-  How can I stand out as a candidate in the future job market?-  What should I say in interviews to land the offer?Watch to learn how to AI-proof your finance career, get hired, and stay relevant.For a 14 day FREE Trial of Macabacus, click HERE For 20% off Deleteme, use the code TWSS or click the link HERE! Our Investment Banking and Private Equity Foundations course is LIVEnow with our M&A course included! Shop our LIBRARY of Self Paced Online Courses HEREJoin the Fixed Income Sales and Trading waitlist HERE Our content is for informational purposes only. You should not construe any such information or other material as legal, tax, investment, financial, or other advice.

Topics covered in this episode: pyx - optimized backend for uv * Litestar is worth a look* * Django remake migrations* * django-chronos* Extras Joke Watch on YouTube About the show Python Bytes 445 Sponsored by Sentry: pythonbytes.fm/sentry - Python Error and Performance Monitoring Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) 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: pyx - optimized backend for uv via John Hagen (thanks again) I'll be interviewing Charlie in 9 days on Talk Python → Sign up (get notified) of the livestream here. Not a PyPI replacement, more of a middleware layer to make it better, faster, stronger. pyx is a paid service, with maybe a free option eventually. Brian #2: Litestar is worth a look James Bennett Michael brought up Litestar in episode 444 when talking about rewriting TalkPython in Quart James brings up scaling - Litestar is easy to split an app into multiple files Not using pydantic - You can use pydantic with Litestar, but you don't have to. Maybe attrs is right for you instead. Michael brought up Litestar seems like a “more batteries included” option. Somewhere between FastAPI and Django. Brian #3: Django remake migrations Suggested by Bruno Alla on BlueSky In response to a migrations topic last week django-remake-migrations is a tool to help you with migrations and the docs do a great job of describing the problem way better than I did last week “The built-in squashmigrations command is great, but it only work on a single app at a time, which means that you need to run it for each app in your project. On a project with enough cross-apps dependencies, it can be tricky to run.” “This command aims at solving this problem, by recreating all the migration files in the whole project, from scratch, and mark them as applied by using the replaces attribute.” Also of note The package was created with Copier Michael brought up Copier in 2021 in episode 219 It has a nice comparison table with CookieCutter and Yoeman One difference from CookieCutter is yml vs json. I'm actually not a huge fan of handwriting either. But I guess I'd rather hand write yml. So I'm thinking of trying Copier with my future project template needs. Michael #4: django-chronos Django middleware that shows you how fast your pages load, right in your browser. Displays request timing and query counts for your views and middleware. Times middleware, view, and total per request (CPU and DB). Extras Brian: Test & Code 238: So Long, and Thanks for All the Fish after 10 years, this is the goodbye episode Michael: Auto-activate Python virtual environment for any project with a venv directory in your shell (macOS/Linux): See gist. Python 3.13.6 is out. Open weight OpenAI models Just Enough Python for Data Scientists Course The State of Python 2025 article by Michael Joke: python is better than java

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