Podcasts about Data science

Topics covered in this episode: rumdl - A Markdown Linter written in Rust * Coverage 7.10.0: patch* * aioboto3* * You might not need a Python class* Extras Joke Watch on YouTube About the show 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: rumdl - A Markdown Linter written in Rust via Owen Lamont Supports toml file config settings Install via uv tool install rumdl. ⚡️ Built for speed with Rust - significantly faster than alternatives

In this episode of Crazy Wisdom, host Stewart Alsop sits down with astrologer and researcher C.T. Lucero for a wide-ranging conversation that weaves through ancient astrology, the evolution of calendars, the intersection of science and mysticism, and the influence of digital tools like AI on symbolic interpretation. They explore the historical lineage from Hellenistic Greece to the Persian golden age, discuss the implications of the 2020 Saturn-Jupiter conjunction, touch on astrocartography, and reflect on the information age's shifting paradigms. For more on the guest's work, check out ctlucero.com.Check out this GPT we trained on the conversationTimestamps00:00 Stewart Alsop introduces C.T. Lucero; they begin discussing time cycles and the metaphor of Monday as an unfolding future.05:00 Astrology's historical roots in Hellenistic Greece and Persian Baghdad; the transmission and recovery of ancient texts.10:00 The role of astrology in medicine and timing; predictive precision and interpreting symbolic calendars.15:00 Scientism vs. astrological knowledge; the objective reliability of planetary movement compared to shifting cultural narratives.20:00 Use of AI and large language models in astrology; the limits and future potential of automation in interpretation.25:00 Western vs. Vedic astrology; the sidereal vs. tropical zodiac debate and cultural preservation of techniques.30:00 Christianity, astrology, and the problem of idolatry; Jesus' position in relation to celestial knowledge.35:00 The Saturn-Jupiter conjunction of 2020; vaccine rollout and election disputes as symbolic markers.40:00 The Mayan Venus calendar and its eight-year cycle; 2020 as the true “end of the world.”45:00 Media manipulation, air-age metaphors, and digital vs. analog paradigms; the rise of new empires.50:00 Astrocartography and relocation charts; using place to understand personal missions.Key InsightsAstrology as a Temporal Framework: C.T. Lucero presents astrology not as mysticism but as a sophisticated calendar system rooted in observable planetary cycles. He compares astrological timekeeping to how we intuitively understand days of the week—Sunday indicating rest, Monday bringing activity—arguing that longer astrological cycles function similarly on broader scales.Historical Continuity and Translation: The episode traces astrology's lineage from Hellenistic Greece through Persian Baghdad and into modernity. Lucero highlights the massive translation efforts over the past 30 years, particularly by figures like Benjamin Dykes, which have recovered lost knowledge and corrected centuries of transcription errors, contributing to what he calls astrology's third golden age.Cultural and Linguistic Barriers to Knowledge: Lucero and Alsop discuss how language borders—historically with Latin and Greek, and now digitally with regional languages—have obscured access to valuable knowledge. This extends to old medical practices and astrology, which were often dismissed simply because their documentation wasn't widely accessible.Astrology vs. Scientism: Lucero critiques scientism for reducing prediction to material mechanisms while ignoring symbolic and cyclical insights that astrology offers. He stresses astrology's predictive power lies in pattern recognition and contextual interpretation, not in deterministic forecasts.Astrology and the Digital Age: AI and LLMs are starting to assist astrologers by generating interpretations and extracting planetary data, though Lucero points out that deep symbolic synthesis still exceeds AI's grasp. Specialized astrology AIs are emerging, built by domain experts for richer, more accurate analysis.Reevaluating Vedic and Mayan Systems: Lucero asserts that Western and Vedic astrology share a common origin, and even the Mayan Venus calendar may reflect the same underlying system. While the Indian tradition preserved techniques lost in the West, both traditions illuminate astrology's adaptive yet consistent core.2020 as a Historical Turning Point: According to Lucero, the Saturn-Jupiter conjunction of December 2020 marked the start of a 20-year societal cycle and the end of a Mayan Venus calendar “day.” He links this to transformative events like the vaccine rollout and U.S. election, framing them as catalysts for long-term shifts in trust, governance, and culture.

Giles Tully is CEO of PinPoint Data Science, the company behind the ‘PinPoint Test', a completely unique AI-driven test that can diagnose 9 of the top 14 most common cancers faster, better and more affordably than the current NHS process. Giles lost his mother at 16 and has used that event to fuel his career which includes going to China with no Mandarin, learning the language and ending up producing one of China's most popular rock bands and becoming a popstar in China himself.

What happens when precarious urban cultural laborers take data collection, laws, and policymaking into their own hands? Buskers have been part of our cities for hundreds of years, but they remain invisible to governments and in datasets. From nuisance to public art, this cultural practice can help us understand the politics of data collection, archives, regulatory frameworks, and urban planning. Busking also responds to underlying questions on the boundaries of the rights to the city, and who has a voice in shaping how our cities are planned and governed.A transnational exploration of street performance, Urban Music Governance examines the intricate limits of legality, data visibility, and resistance from the perspective of those working at the social and regulatory margins of society. Based on a decade of fieldwork in Rio de Janeiro and Montreal, this book offers a lively account of why such an often-overlooked practice matters today.By investigating the role of busking in contemporary society, Urban Music Governance presents an original interdisciplinary study that exposes how power dynamics in policymaking decide issues of access—and exclusion—around us, above and below ground. Jess Reia is an Assistant Professor of Data Science at the University of Virginia, USA, working on data justice, technology policy, and urban governance. Alex Hallbom is a Registered Professional Planner in British Columbia, Canada. He sits on the editorial board of Plan Canada, the professional publication for planners in Canada. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

What happens when precarious urban cultural laborers take data collection, laws, and policymaking into their own hands? Buskers have been part of our cities for hundreds of years, but they remain invisible to governments and in datasets. From nuisance to public art, this cultural practice can help us understand the politics of data collection, archives, regulatory frameworks, and urban planning. Busking also responds to underlying questions on the boundaries of the rights to the city, and who has a voice in shaping how our cities are planned and governed.A transnational exploration of street performance, Urban Music Governance examines the intricate limits of legality, data visibility, and resistance from the perspective of those working at the social and regulatory margins of society. Based on a decade of fieldwork in Rio de Janeiro and Montreal, this book offers a lively account of why such an often-overlooked practice matters today.By investigating the role of busking in contemporary society, Urban Music Governance presents an original interdisciplinary study that exposes how power dynamics in policymaking decide issues of access—and exclusion—around us, above and below ground. Jess Reia is an Assistant Professor of Data Science at the University of Virginia, USA, working on data justice, technology policy, and urban governance. Alex Hallbom is a Registered Professional Planner in British Columbia, Canada. He sits on the editorial board of Plan Canada, the professional publication for planners in Canada. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/performing-arts

What happens when precarious urban cultural laborers take data collection, laws, and policymaking into their own hands? Buskers have been part of our cities for hundreds of years, but they remain invisible to governments and in datasets. From nuisance to public art, this cultural practice can help us understand the politics of data collection, archives, regulatory frameworks, and urban planning. Busking also responds to underlying questions on the boundaries of the rights to the city, and who has a voice in shaping how our cities are planned and governed.A transnational exploration of street performance, Urban Music Governance examines the intricate limits of legality, data visibility, and resistance from the perspective of those working at the social and regulatory margins of society. Based on a decade of fieldwork in Rio de Janeiro and Montreal, this book offers a lively account of why such an often-overlooked practice matters today.By investigating the role of busking in contemporary society, Urban Music Governance presents an original interdisciplinary study that exposes how power dynamics in policymaking decide issues of access—and exclusion—around us, above and below ground. Jess Reia is an Assistant Professor of Data Science at the University of Virginia, USA, working on data justice, technology policy, and urban governance. Alex Hallbom is a Registered Professional Planner in British Columbia, Canada. He sits on the editorial board of Plan Canada, the professional publication for planners in Canada. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/anthropology

What happens when precarious urban cultural laborers take data collection, laws, and policymaking into their own hands? Buskers have been part of our cities for hundreds of years, but they remain invisible to governments and in datasets. From nuisance to public art, this cultural practice can help us understand the politics of data collection, archives, regulatory frameworks, and urban planning. Busking also responds to underlying questions on the boundaries of the rights to the city, and who has a voice in shaping how our cities are planned and governed.A transnational exploration of street performance, Urban Music Governance examines the intricate limits of legality, data visibility, and resistance from the perspective of those working at the social and regulatory margins of society. Based on a decade of fieldwork in Rio de Janeiro and Montreal, this book offers a lively account of why such an often-overlooked practice matters today.By investigating the role of busking in contemporary society, Urban Music Governance presents an original interdisciplinary study that exposes how power dynamics in policymaking decide issues of access—and exclusion—around us, above and below ground. Jess Reia is an Assistant Professor of Data Science at the University of Virginia, USA, working on data justice, technology policy, and urban governance. Alex Hallbom is a Registered Professional Planner in British Columbia, Canada. He sits on the editorial board of Plan Canada, the professional publication for planners in Canada. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/sociology

What happens when precarious urban cultural laborers take data collection, laws, and policymaking into their own hands? Buskers have been part of our cities for hundreds of years, but they remain invisible to governments and in datasets. From nuisance to public art, this cultural practice can help us understand the politics of data collection, archives, regulatory frameworks, and urban planning. Busking also responds to underlying questions on the boundaries of the rights to the city, and who has a voice in shaping how our cities are planned and governed.A transnational exploration of street performance, Urban Music Governance examines the intricate limits of legality, data visibility, and resistance from the perspective of those working at the social and regulatory margins of society. Based on a decade of fieldwork in Rio de Janeiro and Montreal, this book offers a lively account of why such an often-overlooked practice matters today.By investigating the role of busking in contemporary society, Urban Music Governance presents an original interdisciplinary study that exposes how power dynamics in policymaking decide issues of access—and exclusion—around us, above and below ground. Jess Reia is an Assistant Professor of Data Science at the University of Virginia, USA, working on data justice, technology policy, and urban governance. Alex Hallbom is a Registered Professional Planner in British Columbia, Canada. He sits on the editorial board of Plan Canada, the professional publication for planners in Canada. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/music

What happens when precarious urban cultural laborers take data collection, laws, and policymaking into their own hands? Buskers have been part of our cities for hundreds of years, but they remain invisible to governments and in datasets. From nuisance to public art, this cultural practice can help us understand the politics of data collection, archives, regulatory frameworks, and urban planning. Busking also responds to underlying questions on the boundaries of the rights to the city, and who has a voice in shaping how our cities are planned and governed.A transnational exploration of street performance, Urban Music Governance examines the intricate limits of legality, data visibility, and resistance from the perspective of those working at the social and regulatory margins of society. Based on a decade of fieldwork in Rio de Janeiro and Montreal, this book offers a lively account of why such an often-overlooked practice matters today.By investigating the role of busking in contemporary society, Urban Music Governance presents an original interdisciplinary study that exposes how power dynamics in policymaking decide issues of access—and exclusion—around us, above and below ground. Jess Reia is an Assistant Professor of Data Science at the University of Virginia, USA, working on data justice, technology policy, and urban governance. Alex Hallbom is a Registered Professional Planner in British Columbia, Canada. He sits on the editorial board of Plan Canada, the professional publication for planners in Canada. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/public-policy

What happens when precarious urban cultural laborers take data collection, laws, and policymaking into their own hands? Buskers have been part of our cities for hundreds of years, but they remain invisible to governments and in datasets. From nuisance to public art, this cultural practice can help us understand the politics of data collection, archives, regulatory frameworks, and urban planning. Busking also responds to underlying questions on the boundaries of the rights to the city, and who has a voice in shaping how our cities are planned and governed.A transnational exploration of street performance, Urban Music Governance examines the intricate limits of legality, data visibility, and resistance from the perspective of those working at the social and regulatory margins of society. Based on a decade of fieldwork in Rio de Janeiro and Montreal, this book offers a lively account of why such an often-overlooked practice matters today.By investigating the role of busking in contemporary society, Urban Music Governance presents an original interdisciplinary study that exposes how power dynamics in policymaking decide issues of access—and exclusion—around us, above and below ground. Jess Reia is an Assistant Professor of Data Science at the University of Virginia, USA, working on data justice, technology policy, and urban governance. Alex Hallbom is a Registered Professional Planner in British Columbia, Canada. He sits on the editorial board of Plan Canada, the professional publication for planners in Canada. Learn more about your ad choices. Visit megaphone.fm/adchoices

Topics covered in this episode: * Open Source Security work isn't “Special”* * uv v0.8* * Extra, Extra, Extra* Announcing Toad - a universal UI for agentic coding in the terminal 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: Open Source Security work isn't “Special” Seth Larson It seems like security is special in a sense that we don't want just anyone working on the security aspect of a project. We just want the trusted maintainers, right? Seth is arguing that this is the wrong mindset It makes more sense that we maybe have security experts contribute to many projects, and that someone working on security for just one project doesn't benefit from scale. “Maintainers don't see how other projects are triaging vulnerabilities and can't learn from each other. They can't compare notes on what they are seeing and whether they are doing the right thing. Isolation in security work breeds a culture of fear. Fear of doing the wrong thing and making your users unsafe.” “These “security contributors” could be maintainers or contributors of other open source projects that know about security, they could be foundations offering up resources to their ecosystem, or engineers at companies helping their dependency graph.” But how do we build trust in these individuals? Meeting in person works. But there are other ways as well. I'd personally love to have someone contact me about a project of mine regarding a security problem or process that the project could/should follow. Especially if I could see other projects I trust already trusting this individual to work on the other projects. Michael #2: uv v0.8 Changes Install Python executables into a directory on the PATH Register Python versions with the Windows Registry Prompt before removing an existing directory in uv venv Bump --python-platform linux to manylinux_2_28 Make uv_build the default build backend in uv init And many more And uv v0.8.1 Lots of enhancements. And uv v0.8.2 And uv v0.8.3 Adds Add CPython 3.14.0rc1 Brian #3: Extra, Extra, Extra fstrings.wtf - Armin Ronacher Python 3.14 release candidate 1 is go! Django turns 20, with parties mkdocs-redirects I'm Tired of Talking About AI - Paddy Carver Michael #4: Announcing Toad - a universal UI for agentic coding in the terminal by Will McGugan A universal front-end for AI in the terminal. Watch the video. Joke: Heaviest objects in the universe And … Cloud Architects 2025 “They send us our cloud bills in scientific notation… “

In this episode of the Real Estate Pro Show, host Erika interviews Adam Eldibany founder of Home Builder, who shares his journey from data science to real estate financing. Adam discusses the evolution of his company, the challenges of data quality in real estate, and the importance of relationships in the industry. He also shares success stories from clients and offers advice for new investors, emphasizing the impact of technology on the future of real estate financing. Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true ‘white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a “mini-mastermind” with Mike and his private clients on an upcoming “Retreat”, either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas “Big H Ranch”? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

This episode ranks as the #2 most downloaded of all time—and for good reason. As data science continues to disrupt and redefine the healthcare and pharmaceutical industries, statisticians everywhere are asking: Where do I fit in? In this insightful conversation, two leaders from Cytel—Yannis Jemiai, Head of Consulting and Software, and Rajat Mukherjee, Head of Data Science—share their personal journeys from traditional statistics into data science, how the field is evolving, and why statisticians are uniquely positioned to lead the future of analytics in life sciences. Whether you're curious, skeptical, or already exploring data science, this episode will inspire and equip you with practical insights.

Digital Health Canada's Setting the Winning Conditions for AI-powered Healthcare report summarizes actionable nsights from interviews eight leading health care organizations implementing AI. In this episode, we dive into those conditions and their implications - learning what sets winning AI implementations apart. Guests: Muhammad Mamdani, Vice President of Data Science and Advanced Analytics, Unity Health Toronto Ted Scott, Vice President Innovation and Partnerships, Hamilton Health Sciences Learn More: Setting the Winning Conditions for AI-Powered Healthcare (report) Unity Health Toronto Hamilton Health Sciences  Episode Summary 01:16 Meet the Experts: Career Journeys 03:00 Challenges in Health Care: From Theory to Practice 08:55 Data Challenges and Privacy Concerns 13:08 Building Trust and Equity in Healthcare 20:11 Defining Value in Healthcare 24:37 Evaluating and Scaling AI Solutions 27:42 Future of AI in Canadian Health Care 29:40 Advice for AI Adoption in Healthcare 35:14 Final Thoughts and Reflections Music: RetroFuture Clean and Breakdown, by Kevin MacLeod. Used under Creative Commons.

The rise of Artificial Intelligence ignites age-old questions about ethics, responsibility, and the nature of decision-making. As AI systems become more embedded in daily life, shaping what we see, buy, and believe, the call for "Ethical AI" grows louder. But what does that really mean? Is it about aligning machine behavior with human values? Can reasonable professionals agree on a set of standards to safely shepherd business into the AI Epoch? Register for this special two-hour DM Radio to find out! Host @eric_kavanagh will interview several industry luminaries, including: Andy Hannah, Founder of Blue Street Data, and Chairperson for the University of Pittsburgh's Responsible AI Advisory Board. Also joining will be Michael Colaresi, Associate Vice Provost for Data Science at the University of Pittsburgh. Another expert on the call will be Jessica Talisman, who draws on her background in library and information science to champion structured, ethical AI systems. Rounding out the panel will be Mench.ai Founder, Nikolai Mentchoukov, who created AI Agents before that name was even born!

In today's episode, I'm joined by Brandon Wong — the CEO and Founder of Demystify AI, an innovative AI company based in Los Angeles. Brandon grew up in Southern California, graduated from UCLA with a degree in Data Science (specializing in Cybersecurity), and formerly worked as a Senior Software Engineer for the Oscars in Hollywood.

In this episode of The Bulletin, producer Clarissa Moll talks with missiologist Todd Korpi about what AI reveals about being human. Associate producer Alexa Burke digs into artificial intelligence history with data science professor Jonathan Barlow, and Dr. Finny Kuruvilla shares the amazing advancements and ethical questions that AI in medical technology raises.  GO DEEPER WITH THE BULLETIN: -Join the conversation at our Substack. -Find us on YouTube. -Rate and review the show in Apple Podcasts. ABOUT THE GUESTS:   Todd Korpi is a Pentecostal missiologist, researcher, and writer. In addition to work consulting with churches on organizational effectiveness and missional engagement, he serves as lead researcher of the Digital Mission Consortia at the Wheaton College Billy Graham Center and as an adjunct instructor in mission and leadership at several institutions. Jonathan Barlow is associate director of the Data Science program at Mississippi State as well as an assistant teaching professor. Previously, Barlow was an associate director at NSPARC, a research center at Mississippi State University. With a background in industry and university research, Barlow has more than 25 years of experience in software development, data modeling, data-intensive applications, and data analysis. His research interests involve natural language processing and the ethics of artificial intelligence. Finny Kuruvilla holds an MD from Harvard Medical School, a PhD in Chemistry and Chemical Biology from Harvard University, a master's degree in Electrical Engineering and Computer Science from MIT, and a bachelor's degree from Caltech in Chemistry. He is the co-chief investment officer at Eventide Asset Management, LLC, a socially-responsible and values-based investing firm.   Views expressed in this podcast are intended for information purposes and do not constitute investment advice. Eventide does not provide tax, accounting, or legal advice. Eventide's values-based approach to investing may not produce desired results and could result in underperformance compared with other investments. There is no guarantee that any investment will achieve its objectives, generate positive returns, or avoid losses. ABOUT THE BULLETIN: The Bulletin is a twice-weekly politics and current events show from Christianity Today moderated by Clarissa Moll, with senior commentary from Russell Moore (Christianity Today's editor in chief) and Mike Cosper (director, CT Media). Each week, the show explores current events and breaking news and shares a Christian perspective on issues that are shaping our world. We also offer special one-on-one conversations with writers, artists, and thought leaders whose impact on the world brings important significance to a Christian worldview, like Bono, Sharon McMahon, Harrison Scott Key, Frank Bruni, and more.  The Bulletin listeners get 25 percent off CT. Go to https://orderct.com/THEBULLETIN to learn more. “The Bulletin” is a production of Christianity Today Producer: Clarissa Moll Associate Producer: Alexa Burke Editing and Mix: Kevin Morris Music: Dan Phelps Executive Producers: Erik Petrik and Mike Cosper Senior Producer: Matt Stevens Learn more about your ad choices. Visit podcastchoices.com/adchoices

Topics covered in this episode: * Distributed sqlite follow up: Turso and Litestream* * PEP 792 – Project status markers in the simple index* Run coverage on tests docker2exe: Convert a Docker image to an executable Extras Joke Watch on YouTube About the show Sponsored by Digital Ocean: 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: Distributed sqlite follow up: Turso and Litestream Michael Booth: Turso marries the familiarity and simplicity of SQLite with modern, scalable, and distributed features. Seems to me that Turso is to SQLite what MotherDuck is to DuckDB. Mike Fiedler Continue to use the SQLite you love and care about (even the one inside Python runtime) and launch a daemon that watches the db for changes and replicates changes to an S3-type object store. Deeper dive: Litestream: Revamped Brian #2: PEP 792 – Project status markers in the simple index Currently 3 status markers for packages Trove Classifier status Indices can be yanked PyPI projects - admins can quarantine a project, owners can archive a project Proposal is to have something that can have only one state active archived quarantined deprecated This has been Approved, but not Implemented yet. Brian #3: Run coverage on tests Hugo van Kemenade And apparently, run Ruff with at least F811 turned on Helps with copy/paste/modify mistakes, but also subtler bugs like consumed generators being reused. Michael #4: docker2exe: Convert a Docker image to an executable This tool can be used to convert a Docker image to an executable that you can send to your friends. Build with a simple command: $ docker2exe --name alpine --image alpine:3.9 Requires docker on the client device Probably doesn't map volumes/ports/etc, though could potentially be exposed in the dockerfile. Extras Brian: Back catalog of Test & Code is now on YouTube under @TestAndCodePodcast So far 106 of 234 episodes are up. The rest are going up according to daily limits. Ordering is rather chaotic, according to upload time, not release ordering. There will be a new episode this week pytest-django with Adam Johnson Joke: If programmers were doctors

Compensation isn't just an HR function—it's a core business strategy. In this episode of Comp and Coffee, we look into the pay crystal ball with Rebecca Toman of Pearl Meyer, Ruth Thomas, Chief Compensation Strategist at Payscale, and Sara Hillenmeyer, Payscale's Director of Data Science. Together, they explore how trusted data, AI, and a forward-thinking approach to comp strategy can help organizations not just keep up—but lead. If you care about performance, retention, equity, or executive pay, this episode is your blueprint for aligning comp strategy with long-term business success. 

Every year the core developers of Python convene in person to focus on high priority topics for CPython and beyond. This year they met at PyCon US 2025. Those meetings are closed door to keep focused and productive. But we're lucky that Seth Michael Larson was in attendance and wrote up each topic presented and the reactions and feedback to each. We'll be exploring this year's Language Summit with Seth. It's quite insightful to where Python is going and the pressing matters. Episode sponsors Seer: AI Debugging, Code TALKPYTHON Sentry AI Monitoring, Code TALKPYTHON Talk Python Courses Links from the show Seth on Mastodon: @sethmlarson@fosstodon.org Seth on Twitter: @sethmlarson Seth on Github: github.com Python Language Summit 2025: pyfound.blogspot.com WheelNext: wheelnext.dev Free-Threaded Wheels: hugovk.github.io Free-Threaded Python Compatibility Tracking: py-free-threading.github.io PEP 779: Criteria for supported status for free-threaded Python: discuss.python.org PyPI Data: py-code.org Senior Engineer tries Vibe Coding: youtube.com Watch this episode on YouTube: youtube.com Episode #514 deep-dive: talkpython.fm/514 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

We're in the midst of summer and we know that power outages can happen more frequently during this season due to higher temperatures and an increased demand for electricity. A couple years ago we sat down with Ram Rajagopal, an expert in the future of electrical power. He shared a few ways our existing system of massive power plants is slowly but surely giving way to a much leaner, decentralized system of small-scale power generation. Ram refers to this as a move from an “infrastructure-centric” model to a “human-centric” grid — one that will be much smarter, more inclusive and better able to adapt to the needs of individual users. It's a topic that impacts all of us and we hope you'll tune in again for a refresher on how the electric grid works and how it's evolving.Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.Episode Reference Links:Stanford Profile: Ram RajagopalConnect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / FacebookChapters:(00:00:00) IntroductionRuss Altman introduces guest Ram Rajagopal, a professor of engineering at Stanford University.(00:03:47) What is Powernet?Outline of Powernet—a decentralized, user-focused power grid vision.(00:05:34) Behind-the-Meter IntelligenceAiming to align supply and demand by understanding consumer needs.(00:07:58) Smart Dimmers & Data PrivacyBalancing energy efficiency with privacy concerns in home automation.(00:10:05) Aggregators & Local ControlFuture energy sharing may rely on local devices and trusted middlemen.(00:11:50) Human Motivation & Energy BehaviorWhy both ethics and cost will drive user participation in energy decisions.(00:14:02) Teaching Energy AwarenessA program teaching middle-schoolers to analyze home energy use.(00:16:17) Automating Energy UseBehavioral and systems changes to help align wellness with grid needs.(00:18:58) Grid Shift: Renewables & StorageHow evolving the grid demands real-time monitoring and local resilience.(00:19:57) Sensors & Operational SafetyThe sensing technology that ensures transformers and lines stay within limits.(00:21:27) Smart Dairy: Cooling Cows with AIHow smart fans and storage reduced a dairy farm's energy output.(00:23:28) Building Trust with FarmersThe collaborative process behind deploying the grid tech at the farm.(00:25:01) Smart Ventilation at ScaleScaling the ventilation tech tested on farms to improve public health spaces.(00:26:06) Equity in the Human-Centered GridHow price signals risk overburdening the most vulnerable communities.(00:28:22) Conclusion Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook

In this episode, we're joined by Jackie (@agaperste), Head of Data Science at Uniswap Foundation, and Grace (@grace_lily), part of the Data team at Uniswap

Recebemos o Daniel Romeiro — mais conhecido como Infoslack — para mergulhar de cabeça no universo em ebulição de Inteligência Artificial, DevOps e Machine Learning. Neste episódio, exploramos como filtrar o ruído do hype com uma abordagem de filtro reverso e discutimos os bastidores do deploy de modelos de Machine Learning em produção.Trocamos experiências sobre observabilidade avançada em pipelines de IA e compartilhamos insights sobre como acumular habilidades DevOps ao longo da carreira, sem jamais perder o pé no chão. Entre uma piada e outra, analisamos também o impacto dos testes A/B em tempo real e a complexidade de gerenciar artefatos de IA em escala.Por fim, refletimos sobre as perspectivas futuras: qual será o próximo grande passo para SREs que querem continuar relevantes em um cenário dominado por IA generativa? Nós conversamos sobre como arquiteturas mal planejadas podem se tornar gargalos de latência e apresentamos estratégias para garantir alta disponibilidade mesmo quando as APIs externas decidem ficar fora do ar.Links Importantes:- Daniel Romeiro - https://www.linkedin.com/in/infoslack/- João Brito - https://www.linkedin.com/in/juniorjbn- Assista ao FilmeTEArapia - https://youtu.be/M4QFmW_HZh0?si=HIXBDWZJ8yPbpflMParticipe de nosso programa de acesso antecipado e tenha um ambiente mais seguro em instantes!https://getup.io/zerocveO Kubicast é uma produção da Getup, empresa especialista em Kubernetes e projetos open source para Kubernetes. Os episódios do podcast estão nas principais plataformas de áudio digital e no YouTube.com/@getupcloud.

Hablamos de tecnología e IA con Xavier Ferràs, profesor del departamento de Operaciones, Innovación y Data Science en ESADE. Tertulia con Francisco Navarro, profesor del Instituto de Empresa; Rubén García-Quismondo, Socio Director de Quabbala, Abogados y Economistas; y Gonzalo Garnica, consultor empresarial y editor.

Social media algorithms silently shape what billions of people see and how they interact online. While most data scientists work to optimize business value within platform rules, there's valuable knowledge to be gained from understanding how these systems can be exploited - knowledge that can make ethical data scientists better at their jobs.In this episode, Tim O'Hearn joins Dr. Genevieve Hayes to share insights from his experience manipulating social media platforms, revealing what ethical data scientists can learn from understanding the dark side of algorithmic systems.This conversation reveals:How social media platforms are essentially just sophisticated recommendation engines [08:16]The "canary" technique for detecting when underlying systems have changed [11:36]Why customer accounts often provide better testing data than artificial test accounts [13:56]The importance of time series data collection for identifying suspicious patterns, effectiveness of campaigns, and understanding platform dynamics [18:04]Guest BioTim O'Hearn is a software engineer who spent years gaining millions of followers for clients by circumventing anti-botting measures on social networks. He is also the author of the new book, Framed: A Villain's Perspective on Social Media.LinksTim's WebsiteConnect with Tim on LinkedInSubscribe to Tim's newsletterConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

Topics covered in this episode: * Switching to direnv, Starship, and uv* * rqlite - Distributed SQLite DB* * Some Markdown Stuff* Extras Joke Watch on YouTube About the show Sponsored by PropelAuth: pythonbytes.fm/propelauth77 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: Switching to direnv, Starship, and uv Last week I mentioned that I'm ready to try direnv again, but secretly, I still had some worries about the process. Thankfully, Trey has a tutorial to walk me past the troublesome parts. direnv - an extension for your shell. It augments existing shells with a new feature that can load and unload environment variables depending on the current directory. Switching from virtualenvwrapper to direnv, Starship, and uv - Trey Hunner** Trey has solved a bunch of the problems I had when I tried direnv before Show the virtual environment name in the prompt Place new virtual environments in local .venv instead of in .direnv/python3.12 Silence all of the “loading”, “unloading” statements every time you enter a directory Have a script called venv to create an environment, activate it, create a .envrc file I'm more used to a create script, so I'll stick with that name and Trey's contents A workon script to be able to switch around to different projects. This is a carry over from “virtualenvwrapper', but seems cool. I'll take it. Adding uv to the mix for creating virtual environments. Interestingly including --seed which, for one, installs pip in the new environment. (Some tools need it, even if you don't) Starship Trey also has some setup for Starship. But I'll get through the above first, then MAYBE try Starship again. Some motivation Trey's setup is pretty simple. Maybe I was trying to get too fancy before Starship config in toml files that can be loaded with direnv and be different for different projects. Neato Also, Trey mentions his dotfiles repo. This is a cool idea that I've been meaning to do for a long time. See also: It's Terminal - Bootstrapping With Starship, Just, Direnv, and UV - Mario Munoz Michael #2: rqlite - Distributed SQLite DB via themlu, thanks! rqlite is a lightweight, user-friendly, distributed relational database built on SQLite. Built on SQLite, the world's most popular database Supports full-text search, Vector Search, and JSON documents Access controls and encryption for secure deployments Michael #3: A Python dict that can report which keys you did not use by Peter Bengtsson Very cool for testing that a dictionary has been used as expected (e.g. all data has been sent out via an API or report). Note: It does NOT track d.get(), but it's easy to just add it to the class in the post. Maybe someone should polish it up and put it on pypi (that person is not me :) ). Brian #4: Some Markdown Stuff Textual 4.0.0 adds Markdown.append which can be used to efficiently stream markdown content The reason for the major bump is due to an interface change to Widget.anchor Refreshing to see a symantic change cause a major version bump. html-to-markdown Converts html to markdown A complete rewrite fork of markdownify Lots of fun features like “streaming support” Curious if it can stream to Textual's Markdown.append method. hmmm. Joke: Vibecon is hard to attend

This is episode 298 recorded on July 9th, 2025, where John & Jason talk the Microsoft Fabric June 2025 Feature Summary including lots of Notebook updates in Data Engineering, lower cost for AI functions in Data Science, Copilot for RTI dashboards, and more. For show notes please visit www.bifocal.show

Why do people list to this podcast? Sure, they're looking for technical explorations of new libraries and ideas. But often it's to hear the story behind them. If that speaks to you, then I have the perfect episode lined up. I have Barry Warsaw, Paul Everitt, Carol Willing, and Brett Cannon all back on the show to share stories from the history of Python. You'll hear about how import this came to be and how the first PyCon had around 30 attendees (two of whom are guests on this episode!). Sit back and enjoy the humorous stories from Python's past. Episode sponsors Posit Agntcy Talk Python Courses Links from the show Barry's Zen of Python song: youtube.com Jake Vanderplas - Keynote - PyCon 2017: youtube.com Why it's called “Python” (Monty Python fan-reference): geeksforgeeks.org import antigravity: python-history.blogspot.com NIST Python Workshop Attendees: legacy.python.org Paul Everitt open-sources Zope: old.zope.dev Carol Willing wins ACM Software System Award: awards.acm.org Watch this episode on YouTube: youtube.com Episode #513 deep-dive: talkpython.fm/513 Episode transcripts: talkpython.fm --- 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

In this conversation, we explore AI bias, transformative justice, and the future of technology with Dr. Avriel Epps, computational social scientist, Civic Science Postdoctoral Fellow at Cornell University's CATLab, and co-founder of AI for Abolition.What makes this conversation unique is how it begins with Avriel's recently published children's book, A Kids Book About AI Bias (Penguin Random House), designed for ages 5-9. As an accomplished researcher with a PhD from Harvard and expertise in how algorithmic systems impact identity development, Avriel has taken on the remarkable challenge of translating complex technical concepts about AI bias into accessible language for the youngest learners.Key themes we explore:- The Translation Challenge: How to distill graduate-level research on algorithmic bias into concepts a six-year-old can understand—and why kids' unfiltered responses to AI bias reveal truths adults often struggle to articulate- Critical Digital Literacy: Why building awareness of AI bias early can serve as a protective mechanism for young people who will be most vulnerable to these systems- AI for Abolition: Avriel's nonprofit work building community power around AI, including developing open-source tools like "Repair" for transformative and restorative justice practitioners- The Incentive Problem: Why the fundamental issue isn't the technology itself, but the economic structures driving AI development—and how communities might reclaim agency over systems built from their own data- Generational Perspectives: How different generations approach digital activism, from Gen Z's innovative but potentially ephemeral protest methods to what Gen Alpha might bring to technological resistanceThroughout our conversation, Avriel demonstrates how critical analysis of technology can coexist with practical hope. Her work embodies the belief that while AI currently reinforces existing inequalities, it doesn't have to—if we can change who controls its development and deployment.The conversation concludes with Avriel's ongoing research into how algorithmic systems shaped public discourse around major social and political events, and their vision for "small tech" solutions that serve communities rather than extracting from them.For anyone interested in AI ethics, youth development, or the intersection of technology and social justice, this conversation offers both rigorous analysis and genuine optimism about what's possible when we center equity in technological development.About Dr. Avriel Epps:Dr. Avriel Epps (she/they) is a computational social scientist and a Civic Science Postdoctoral Fellow at the Cornell University CATLab. She completed her Ph.D. at Harvard University in Education with a concentration in Human Development. She also holds an S.M. in Data Science from Harvard's School of Engineering and Applied Sciences and a B.A. in Communication Studies from UCLA. Previously a Ford Foundation predoctoral fellow, Avriel is currently a Fellow at The National Center on Race and Digital Justice, a Roddenberry Fellow, and a Public Voices Fellow on Technology in the Public Interest with the Op-Ed Project in partnership with the MacArthur Foundation.Avriel is also the co-founder of AI4Abolition, a community organization dedicated to increasing AI literacy in marginalized communities and building community power with and around data-driven technologies. Avriel has been invited to speak at various venues including tech giants like Google and TikTok, and for The U.S. Courts, focusing on algorithmic bias and fairness. In the Fall of 2025, she will begin her tenure as Assistant Professor of Fair and Responsible Data Science at Rutgers University.Links:- Dr. Epps' official website: https://www.avrielepps.com- AI for Abolition: https://www.ai4.org- A Kids Book About AI Bias details: https://www.avrielepps.com/book

Compensation isn't just an HR function—it's a core business strategy. In this episode of Comp and Coffee, we look into the pay crystal ball with Rebecca Toman of Pearl Meyer, Ruth Thomas, Chief Compensation Strategist at Payscale, and Sara Hillenmeyer, Payscale's Director of Data Science. Together, they explore how trusted data, AI, and a forward-thinking approach to comp strategy can help organizations not just keep up—but lead. If you care about performance, retention, equity, or executive pay, this episode is your blueprint for aligning comp strategy with long-term business success. 

Listen as an experienced post -secondary professor and Dean of Computing and Data Science shares her insights as she assumes the position of the Head of School at a 6-12 independent school, the New England Innovation Academy. Dr. Durga Suresh-Menon provides a definition of innovation and discusses the need for curriculum and instruction to be continuously relevant. How do students prepare for what comes next?  How do staff engage in the learning that supports their work with student? Email Dr. Suresh-Menon: durga.suresh-menon@neiacademy.org Learn more about the New England Innovation Academy here.  Subscribe to the Steve Barkley Ponders Out Loud podcast on iTunes or visit BarkleyPD.com to find new episodes!  

Most dashboards and reports get ignored despite all the technical expertise that goes into creating them. The reason isn't technical limitations or poor data quality - it's that they fail to deliver value to the people who are supposed to use them.In this Value Boost episode, Nicholas Kelly joins Dr. Genevieve Hayes to reveal proven strategies for increasing dashboard adoption and showcasing your value as a data professional.In this episode, you'll discover:The number one reason why dashboards fail [01:15]The three-bucket framework that transforms dashboard development [04:06]How to salvage an already-built dashboard [07:12]The simple wireframing technique that opens doors to meaningful user conversations [10:08]Guest BioNicholas Kelly is the founder of Delivering Data Analytics, a consultancy focused on helping organisations enable their teams to make smarter, faster, and more confident decisions through data and AI. He is also the author of Delivering Data Analytics and the recently released How to Interpret Data.LinksNicholas's WebsiteConnect with Nicholas on LinkedInConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

All companies start small. The lucky ones grow, and growth necessarily comes with change. This month on the Klaviyo Data Science Podcast, we look at Klaviyo's growth through the past 8 years and the profound effects that growth has had on R&D, ranging from the tooling we use to the processes we employ to the very culture we strive to cultivate. Listen in to learn:How the day-to-day of some of our most senior engineers has changedWhy common headaches like planning, deployment, and cross-team coordination can get harder as your org grows — and why they can get easier What a single lunch can teach you about a company's culture For more details, check out the ⁠⁠full writeup on Medium⁠⁠!

In this insightful episode of IDEA Collider, Mike welcomes Mathai Mammen, Chairman and CEO of Parabilis Medicines. Mathai shares his extensive journey through academia, MD PhD program at Harvard, co-founding Theravance, and leadership roles at Merck and J&J. They delve into Mathai's innovative approach to creating transformative medicines, navigating the biotech industry, and the unique challenges of targeting 'undruggable' proteins. They also discuss the role of AI in drug discovery, the importance of strategic risk, and fostering team resilience and spirit in both large and small pharma companies. 00:00 Introduction and Guest Background00:56 Founding Thebans and Career Highlights01:43 Leadership at Merck and J&J02:18 Innovative Approaches at Parabilis Medicines04:09 Defining and Tackling Undruggable Targets09:27 Multivalent Drug Design and Bispecifics13:53 AI and Data Science in Drug Development19:28 Building and Leading World-Class Teams25:41 The Importance of Holding Conviction as an Entrepreneur26:25 Learning from Setbacks in the Biotech Industry30:10 Challenges and Innovations in Drug Development32:28 Navigating the Ups and Downs of the Biotech Industry36:02 The Mission and Future of Parabilis40:35 Personal Reflections and Advice for Entrepreneurs46:46 Book Recommendations and Closing Thoughts Don't forget to Like, Share, Subscribe, Rate, and Review! Keep up with Mathai Mammen;LinkedIn: https://www.linkedin.com/in/mathai-mammen/Website: https://parabilismed.com/ Follow Mike Rea On;Website: https://www.ideapharma.com/X: https://x.com/ideapharmaLinkedIn: https://www.linkedin.com/in/bigidea/ Listen to more fantastic podcast episodes: https://podcast.ideapharma.com/

Tired of spending money on data courses you never finish? Here are 7 essential books that will actually boost your analytical skills, with no subscription required! Plus, make sure to tune in till the end as one lucky listener will get a free book from this list! Get the books here!DISCLAIMER: Some of the links in this video are affiliate links, meaning if you click through and make a purchase, I may earn a commission at no extra cost to you.Storytelling with Data by Cole Nussbaumer Knaflic

AI - two little letters that we seemingly can't escape. AI is upending not only our professional lives but also our personal, everyday lives. 

Topics covered in this episode: * ty documentation site and uv migration guide* * uv build backend is now stable + other Astral news* * Refactoring long boolean expressions* * fastapi-ml-skeleton* Extras Joke Watch on YouTube About the show Sponsored by Sentry: pythonbytes.fm/sentry 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: ty documentation site and uv migration guide via Skyler Kasko Astral created a documentation site for ty (PR #744 in release 0.0.1-alpha.13). Astral added a page on migrating from pip to a uv project in the uv documentation. (PR #12382 in release 0.7.19). Talk Python episode on ty. Brian #2: uv build backend is now stable + other Astral news The uv build backend is now stable Tim Hopper via Python Developer Tooling Handbook From Charlie Marsh “The uv build backend is now stable, and considered ready for production use. An alternative to setuptools, hatchling, etc. for pure Python projects, with a focus on good defaults, user-friendly error messages, and performance. When used with uv, it's 10-35x faster.” “(In a future release, we'll make this the default.)” [build-system] requires = ["uv_build>=0.7.19,

From the viral article "Tech's Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything" on my newsletter at https://defragzone.substack.com/p/techs-dumbest-mistake-why-firing here are my thoughts about AI replacing programmers...    

This week Dr. Nadine Choueiter of Mount Sinai hosts a special episode of Pediheart: Pediatric Cardiology Today in which we speak with emeritus Professor of Pediatrics at the University of Toronto, Dr. Brian McCrindle about his career and life. How did he develop a love of pediatric cardiology? Who were some of his early mentors? How did he develop the international Kawasaki Disease Registry and how has he cultivated it despite minimal funding? How did he develop an interest in preventive cardiology? How can a young person make their clinical work also their academic work? Dr. McCrindle also shares some insights into navigating a successful life as well as retirement. This is a rare opportunity to be inspired by one of the great pediatric cardovascular researchers of the past 3 decades. 

Como é manter o motor de dados de uma dos maiores grupos de varejo do Brasil rodando sem parar — enquanto se experimenta tecnologias de IA Generativa que poucas empresas do mundo ousaram colocar em produção?Neste episódio especial, convidamos Lucas Eduardo Wichinevsky, Rodrigo Lucchesi e Marcelle Araujo Chiriboga Carvalho do Grupo Boticário, para abrir a caixa-preta da Engenharia de Machine Learning.Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas.Falamos no episódio:Marcelle Chiriboga - Gerente de Data Science de Lojas e Franquias no Grupo BoticárioLucas Eduardo Wichinevsky  - Gerente de Data Science de Tech Corporate  no Grupo BoticárioRodrigo Lucchesi -  Gerente de Data Science de Demanda e RGM no  no Grupo BoticárioNossa Bancada — Data Hackers:Monique Femme — Head of Community Management na Data HackersPaulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart

Do you like to dive into the details and intricacies of how Python executes and how we can optimize it? Well, do I have an episode for you. We welcome back Brandt Bucher to give us an update on the upcoming JIT compiler for Python and why it differs from JITs for languages such as C# and Java. Episode sponsors Posit Talk Python Courses Links from the show Brandt Bucher: github.com/brandtbucher PyCon Talk: What they don't tell you about building a JIT compiler for CPython: youtube.com Specializing, Adaptive Interpreter Episode: talkpython.fm Watch this episode on YouTube: youtube.com Episode #512 deep-dive: talkpython.fm/512 Episode transcripts: talkpython.fm --- 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

Andrew Ackerman is the Head of REACH Labs at Second Century Ventures, the strategic venture arm of the National Association of Realtors® (NAR). Backed by NAR, SCV invests in early-stage PropTech and construction tech companies, providing them with access to a vast network of real estate professionals and industry expertise. A former entrepreneur, angel investor, and accelerator director at Dreamit Ventures, Andrew has backed 70+ startups and designed structured programs to help founders raise capital and close deals faster. He is also the author of “The Entrepreneur's Odyssey,” a story-driven startup guide, and a frequent contributor to Forbes, Propmodo, and other leading publications.(01:19) – Andrew Ackerman's Journey in PropTech (03:06) – Evolution of the PropTech Landscape (06:40) – The Role of Reach Labs, Second Century Ventures and NAR (10:06) – Challenges in Real Estate Transactions (13:00) – Venture Returns in PropTech (21:01) – Feature: Blueprint - The Future of Real Estate - Register for 2025: The Premier Event for Industry Executives, Real Estate & Construction Tech Startups and VC's, at The Venetian, Las Vegas on Sep. 16th-18th, 2025. (23:03) – Qualifying Investment Opportunities (23:32) – Challenges in Portfolio Construction & Valuation Dilemmas (30:00) – The Role of Venture Debt (35:59) – The Entrepreneur's Odyssey(29:22) - Collaboration Superpower: Richard Nixon

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Bhavna Mehta , Assistant Vice President at Cincinnati Children's Hospital Medical Center: What are some examples of ways AI technology can support healthcare operations and decision making?Describe some of the challenges specific to healthcare when thinking about leveraging AI.How do you think AI will work with us in the future to support and improve community health?Bhavna Mehta, Senior Manager of Data Science at The Home DepotFollow Bhavna Mehta

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Huzaifa Sayed, Senior Manager of Data Science at The Home Depot:What are some business operations solvable via AI?How can AI technologies help streamline, improve, or otherwise support operations?What does the future hold for leveraging AI as part of operational activities?What final piece of advice would you give to someone trying to find ways to leverage AI technology used to support business functions?Huzaifa Sayed, Senior Manager of Data Science at The Home DepotFollow Huzaifa Sayed

Topics covered in this episode: * Python Cheat Sheets from Trey Hunner* * Automatisch* * mureq-typed* * My CLI World* Extras Joke Watch on YouTube About the show Sponsored by Posit: pythonbytes.fm/connect 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: Python Cheat Sheets from Trey Hunner Some fun sheets Python f-string tips & cheat sheets Python's pathlib module Python's many command-line utilities Michael #2: Automatisch Open source Zapier alternative Automatisch helps you to automate your business processes without coding. Use their affordable cloud solution or self-host on your own servers. Automatisch allows you to store your data on your own servers, good for companies dealing with sensitive user data, particularly in industries like healthcare and finance, or those based in Europe bound by General Data Protection Regulation (GDPR). Michael #3: mureq-typed Single file, zero-dependency alternative to requests. Fully typed. Modern Python tooling. Typed version of mureq (covered in 2022 on episode 268) Intended to be vendored in-tree by Linux systems software and other lightweight applications. mureq-typed is a drop-in, fully API compatible replacement for mureq updated with modern Python tooling: Type checked with mypy, ty, and pyrefly. Formatted with black, no ignore rules necessary. Linted with ruff (add these rules for mureq.py to your per-file-ignores). Brian #4: My CLI World Frank Wiles Encouragement to modify your command line environment Some of Franks tools direnv, zoxide, fd, ack, atuin, just Also some aliases, like gitpulllog Notes We covered poethepoet recently, if just just isn't cutting it for you. I tried to ilke starship, bit for some reason with my setup, it slows down the shell too much. Extras Brian: Interesting read of the week: New theory proposes time has three dimensions, with space as a secondary effect Michael's: New quantum theory of gravity brings long-sought 'theory of everything' a crucial step closer Joke: Brian read a few quotes from the book Disappointing Affirmations, by Dave Tarnowski “You are always just a moment away from your next worst day ever. Or your next best day ever, but let's be realistic.” “You can be anything you want. And yet you keep choosing to be you. I admire your dedication to the role.” “Today I am letting go of the things that are holding me back from the life that I want to live. Then I'm picking them all up again because I have separation anxiety.”

Andreas Voniatis, founder of Arteos and author of "Data-Driven SEO with Python," is revolutionizing the SEO landscape by integrating data science and AI into organic growth strategies. He emphasizes the need for businesses, particularly in the B2B and technology sectors, to move beyond traditional SEO practices that often rely on guesswork. Instead, Fanatis advocates for a math-driven approach that leverages data to ensure that companies can achieve exponential growth in their online visibility and traffic.As the conversation unfolds, Voniatis discusses the significant shift in user behavior from traditional search engines, which typically present a list of links, to AI-driven interactions that provide summarized answers. This evolution poses a challenge for businesses, as they must adapt to a landscape where AI can solve problems directly, potentially bypassing the need for human expertise. Voniatis argues that to remain relevant, companies must prepare for a future where AI not only recommends content but also understands the nuances of their offerings.The discussion also highlights the importance of creating unique, data-rich content that stands out in an increasingly crowded digital space. Voniatis explains that simply producing high-quality content is no longer sufficient; businesses must ensure their content correlates with AI's understanding of truth and relevance. By focusing on proprietary insights and addressing the specific needs of target audiences, companies can differentiate themselves from competitors who rely on generic SEO strategies.Finally, Voniatis outlines key metrics for measuring success in this new SEO paradigm. He emphasizes the importance of tracking both traffic sources and brand searches to gauge the effectiveness of SEO efforts. By blending data science with creative content strategies, businesses can not only improve their search rankings but also enhance their overall brand visibility and engagement in the digital marketplace. All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

If you're doing data science and have mostly spent your time doing exploratory or just local development, this could be the episode for you. We are joined by Catherine Nelson to discuss techniques and tools to move your data science game from local notebooks to full-on production workflows. Episode sponsors Agntcy Sentry Error Monitoring, Code TALKPYTHON Talk Python Courses Links from the show New Course: LLM Building Blocks for Python: training.talkpython.fm Catherine Nelson LinkedIn Profile: linkedin.com Catherine Nelson Bluesky Profile: bsky.app Enter to win the book: forms.google.com Going From Notebooks to Scalable Systems - PyCon US 2025: us.pycon.org Going From Notebooks to Scalable Systems - Catherine Nelson – YouTube: youtube.com From Notebooks to Scalable Systems Code Repository: github.com Building Machine Learning Pipelines Book: oreilly.com Software Engineering for Data Scientists Book: oreilly.com Jupytext - Jupyter Notebooks as Markdown Documents: github.com Jupyter nbconvert - Notebook Conversion Tool: github.com Awesome MLOps - Curated List: github.com Watch this episode on YouTube: youtube.com Episode #511 deep-dive: talkpython.fm/511 Episode transcripts: talkpython.fm --- 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

Topics covered in this episode: * The Python Language Summit 2025* Fixing Python Properties * complexipy* * juvio* Extras Joke Watch on YouTube About the show Sponsored by Posit: pythonbytes.fm/connect 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: The Python Language Summit 2025 Write up by Seth Michael Larson How can we make breaking changes less painful?: talk by Itamar Oren An Uncontentious Talk about Contention: talk by Mark Shannon State of Free-Threaded Python: talk by Matt Page Fearless Concurrency: talk by Matthew Parkinson, Tobias Wrigstad, and Fridtjof Stoldt Challenges of the Steering Council: talk by Eric Snow Updates from the Python Docs Editorial Board: talk by Mariatta PEP 772 - Packaging Governance Process: talk by Barry Warsaw and Pradyun Gedam Python on Mobile - Next Steps: talk by Russell Keith-Magee What do Python core developers want from Rust?: talk by David Hewitt Upstreaming the Pyodide JS FFI: talk by Hood Chatham Lightning Talks: talks by Martin DeMello, Mark Shannon, Noah Kim, Gregory Smith, Guido van Rossum, Pablo Galindo Salgado, and Lysandros Nikolaou Brian #2: Fixing Python Properties Will McGugan “Python properties work well with type checkers such Mypy and friends. … The type of your property is taken from the getter only. Even if your setter accepts different types, the type checker will complain on assignment.” Will describes a way to get around this and make type checkers happy. He replaces @property with a descriptor. It's a cool technique. I also like the way Will is allowing different ways to use a property such that it's more convenient for the user. This is a cool deverloper usability trick. Brian #3: complexipy Calculates the cognitive complexity of Python files, written in Rust. Based on the cognitive complexity measurement described in a white paper by Sonar Cognitive complexity builds on the idea of cyclomatic complexity. Cyclomatic complexity was intended to measure the “testability and maintainability” of the control flow of a module. Sonar argues that it's fine for testability, but doesn't do well with measuring the “maintainability” part. So they came up with a new measure. Cognitive complexity is intended to reflects the relative difficulty of understanding, and therefore of maintaining methods, classes, and applications. complexipy essentially does that, but also has a really nice color output. Note: at the very least, you should be using “cyclomatic complexity” try with ruff check --select C901 But also try complexipy. Great for understanding which functions might be ripe for refactoring, adding more documentation, surrounding with more tests, etc. Michael #4: juvio uv kernel for Jupyter ⚙️ Automatic Environment Setup: When the notebook is opened, Juvio installs the dependencies automatically in an ephemeral virtual environment (using uv), ensuring that the notebook runs with the correct versions of the packages and Python