Podcasts about Data science

As Infosecurity Europe prepares to mark its 30th anniversary, Portfolio Director Saima Poorghobad shares how the event continues to evolve to meet the needs of cybersecurity professionals across industries, sectors, and career stages. What began in 1996 as a niche IT gathering has grown into a strategic hub for over 14,000 visitors, offering much more than just vendor booths and keynotes. Saima outlines how the event has become a dynamic space for learning, collaboration, and strategic alignment—balancing deep technical insight with the broader social, political, and technological shifts impacting the cybersecurity community.The Power of the Crowd: Community, Policy, and Lifelong LearningThis year's programming reflects the diverse needs of the cybersecurity community. Attendees range from early-career practitioners to seasoned decision-makers, with representation growing from academia and public policy. The UK government will participate in sessions designed to engage with the community and gather feedback to inform future regulation—a sign of how the show has expanded beyond its commercial roots. Universities are also getting special attention, with new student guides and tailored experiences to help emerging professionals find their place in the ecosystem.Tackling Today's and Tomorrow's Threats—From Quantum to GeopoliticsInfosecurity Europe 2024 is not shying away from bold topics. Professor Brian Cox will open the event by exploring the intersection of quantum science and cybersecurity, setting the tone for a future-facing agenda. Immediately following, BBC's Joe Tidy will moderate a session on how organizations can prepare for the cryptographic disruption quantum computing could bring. Rory Stewart will bring a geopolitical lens to the conversation, examining how shifting alliances, global trade tensions, and international conflicts are reshaping the threat landscape and influencing cybersecurity priorities across regions.Maximizing the Experience: Prep, Participate, and PartyFrom hands-on tech demos to peer-led table talks and new formats like the AI and Cloud Security Theater, the show is designed to be navigable—even for first-time attendees. Saima emphasizes preparation, networking, and follow-up as keys to success, with a new content download feature helping attendees retain insights post-event. The celebration culminates with a 90s-themed 30th anniversary party and a strong sense of pride in what this event has helped the community build—and protect—over three decades.The message is clear: cybersecurity is no longer just a technical field—it's a societal one.___________Guest: Saima Poorghobad, Portfolio Director at Reed Exhibitions | https://www.linkedin.com/in/saima-poorghobad-6a37791b/ Hosts:Sean Martin, Co-Founder at ITSPmagazine | Website: https://www.seanmartin.comMarco Ciappelli, Co-Founder at ITSPmagazine | Website: https://www.marcociappelli.com___________Episode SponsorsThreatLocker: https://itspm.ag/threatlocker-r974___________ResourcesLearn more and catch more stories from Infosecurity Europe 2025 London coverage: https://www.itspmagazine.com/infosec25Catch all of our event coverage: https://www.itspmagazine.com/technology-and-cybersecurity-conference-coverageWant to tell your Brand Story Briefing as part of our event coverage? Learn More

Dr Liberty Vittert Capito is a Professor of the Practice of Data Science at the Olin Business School at the Washington University in St. Louis, and is a senior fellow at Harvard and MIT. She's probably one of the world's only great statisticians and data scientists who has a degree from one of the best cooking schools in the world. We'll discuss a piece she wrote for The Free Press entitled "Why I Left the UN Fundraising Group My Father Helped Found"From a news story about the anti-Semitic troll known as Greta Thunberg, "Francesca Albanese, United Nations' special rapporteur on human rights in the Palestinian territories, also urged other boats to challenge the Gaza blockade. She said on social media: 'Madleen's journey may have ended, but the mission isn't over. Every Mediterranean port must send boats with aid & solidarity to Gaza.'"Olin Business School | Liberty VittertLiberty has gotten married since she was last on the show and her little brother, Leland, got married this past weekend!

Today's guest is Damion Nero, Head of Data Science at Takeda Pharmaceuticals. With over 15 years of experience applying AI, machine learning, and real-world data to drug development and precision medicine, Damion joins Emerj Managing Editor Matthew DeMello to explore the evolving role of AI in drug development and supply chain management. He breaks down how AI is currently streamlining administrative and regulatory tasks, improving efficiency across clinical trials, and saving valuable time for healthcare professionals. Damion also discusses why broader, transformative supply chain efficiencies are still on the horizon, as AI continues to evolve and scale in the pharmaceutical industry. This episode is sponsored by Arkestro. Learn more about Arkestro's upcoming Advisory Council event here. Find out more about sponsored content and how to engage with the Emerj audience at emerj.com/ad1.

El economista Cristóbal Huneeus, director de Data Science de Unholster, afirmó este jueves en El Primer Café de Cooperativa que las soluciones planteadas desde la política "no juegan en el mundo de las empresas", esto tras el acuerdo que se alcanzó ayer en la comisión mixta para sacar adelante la nueva ley de fraccionamiento pesquero. Conduce Cecilia Rovaretti.

In a world where we're constantly encouraged to be visible and build a digital brand (even by us), what if there's another way?What if you simply don't want to, or don't feel comfortable putting yourself out there?In this episode, Tazmin is joined by Veruska Anconitano, a global growth and international expansion consultant who has built a thriving business without relying on personal branding or constant visibility. She shares how she did it and (more importantly) why it works.About Veruska:Veruska, is a global growth and international expansion consultant specialized in multilingual SEO, globalization/internationalization, localization strategy, and go-to-market planning for complex, cross-border businesses. For over 20 years, she's helped companies grow internationally. She speaks multiple languages, holds a Master's in Data Science, and has an academic grounding in sociology, sociolinguistics, and AI (LLMs), which gives her the ability to translate human behavior into actionable, scalable growth strategies. She's technical and loves working with dev teams: analyzing, diagnosing, and solving SEO and localization issues, addressing workflow and tooling inefficiencies, and building automation pipelines. She codes in multiple languages (

Join us for an exciting episode of The Edge of Show, live from Token 2049 in Dubai! In this episode, we have insightful conversations with industry leaders, including Alex Svanevik , CEO and co-founder of Nansen, and Kamal Youssefi, Executive Chairman of Hedera, as well as David Chen, co-founder of Geodnet.Key takeaways:The evolving landscape of on-chain analytics, the competition among blockchain networks, and the significance of on-chain activity in relation to token value. The growth of the Hedera ecosystem, the importance of digital identity in Web3, and the collaborative efforts of the Hedera Governing Council. He shares exciting use cases and the vision for tokenized equity.GeoNet, a groundbreaking project that enhances GPS accuracy using RTK technology and how is paving the way for Web3 innovations.Tune in to gain valuable insights into the future of blockchain technology, the importance of building great products, and the potential of decentralized solutions in various industries. Don't forget to like, subscribe, and hit the notification bell for more episodes! Support us through our Sponsors! ☕

Today's guest is Xiong Liu, Director of Data Science and AI at Novartis. Xiong returns to the platform in a special episode brought to you by Medable to explore the evolving role of AI in modernizing clinical trials. Their conversation covers how life sciences teams are leveraging AI to streamline data workflows, accelerate study readiness, and maintain regulatory compliance in both decentralized and traditional models. Throughout the episode, Xiong shares insights into the growing importance of integrating structured and unstructured data across trial systems — from clinical notes to imaging and lab results. This episode is sponsored by Medable. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business' podcast!

Send us a textOn today's episode of Serious Angler's Reel Biology we are joined by Ray Valley to talk about BioBase and the new advancements in fish data and fish mapping layers and how this will advance what we know about fish species.

If you want to leverage the power of LLMs in your Python apps, you would be wise to consider an agentic framework. Agentic empowers the LLMs to use tools and take further action based on what it has learned at that point. And frameworks provide all the necessary building blocks to weave these into your apps with features like long-term memory and durable resumability. I'm excited to have Sydney Runkle back on the podcast to dive into building Python apps with LangChain and LangGraph. Episode sponsors Posit Auth0 Talk Python Courses Links from the show Sydney Runkle: linkedin.com LangGraph: github.com LangChain: langchain.com LangGraph Studio: github.com LangGraph (Web): langchain.com LangGraph Tutorials Introduction: langchain-ai.github.io How to Think About Agent Frameworks: blog.langchain.dev Human in the Loop Concept: langchain-ai.github.io GPT-4 Prompting Guide: cookbook.openai.com Watch this episode on YouTube: youtube.com 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: Making PyPI's test suite 81% faster People aren't talking enough about how most of OpenAI's tech stack runs on Python PyCon Talks on YouTube Optimizing Python Import Performance 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. Brian #1: Making PyPI's test suite 81% faster Alexis Challande The PyPI backend is a project called Warehouse It's tested with pytest, and it's a large project, thousands of tests. Steps for speedup Parallelizing test execution with pytest-xdist 67% time reduction --numprocesses=auto allows for using all cores DB isolation - cool example of how to config postgress to give each test worker it's on db They used pytest-sugar to help with visualization, as xdist defaults to quite terse output Use Python 3.12's sys.monitoring to speed up coverage instrumentation 53% time reduction Nice example of using COVERAGE_CORE=sysmon Optimize test discovery Always use testpaths Sped up collection time. 66% reduction (collection was 10% of time) Not a huge savings, but it's 1 line of config Eliminate unnecessary imports Use python -X importtime Examine dependencies not used in testing. Their example: ddtrace A tool they use in production, but it also has a couple pytest plugins included Those plugins caused ddtrace to get imported Using -p:no ddtrace turns off the plugin bits Notes from Brian: I often get questions about if pytest is useful for large projects. Short answer: Yes! Longer answer: But you'll probably want to speed it up I need to extend this article with a general purpose “speeding up pytest” post or series. -p:no can also be used to turn off any plugin, even builtin ones. Examples include nice to have developer focused pytest plugins that may not be necessary in CI CI reporting plugins that aren't needed by devs running tests locally Michael #2: People aren't talking enough about how most of OpenAI's tech stack runs on Python Original article: Building, launching, and scaling ChatGPT Images Tech stack: The technology choices behind the product are surprisingly simple; dare I say, pragmatic! Python: most of the product's code is written in this language. FastAPI: the Python framework used for building APIs quickly, using standard Python type hints. As the name suggests, FastAPI's strength is that it takes less effort to create functional, production-ready APIs to be consumed by other services. C: for parts of the code that need to be highly optimized, the team uses the lower-level C programming language Temporal: used for asynchronous workflows and operations inside OpenAI. Temporal is a neat workflow solution that makes multi-step workflows reliable even when individual steps crash, without much effort by developers. It's particularly useful for longer-running workflows like image generation at scale Michael #3: PyCon Talks on YouTube Some talks that jumped out to me: Keynote by Cory Doctorow 503 days working full-time on FOSS: lessons learned Going From Notebooks to Scalable Systems And my Talk Python conversation around it. (edited episode pending) Unlearning SQL The Most Bizarre Software Bugs in History The PyArrow revolution in Pandas And my Talk Python episode about it. What they don't tell you about building a JIT compiler for CPython And my Talk Python conversation around it (edited episode pending) Design Pressure: The Invisible Hand That Shapes Your Code Marimo: A Notebook that "Compiles" Python for Reproducibility and Reusability And my Talk Python episode about it. GPU Programming in Pure Python And my Talk Python conversation around it (edited episode pending) Scaling the Mountain: A Framework for Tackling Large-Scale Tech Debt Brian #4: Optimizing Python Import Performance Mostly pay attention to #'s 1-3 This is related to speeding up a test suite, speeding up necessary imports. Finding what's slow Use python -X importtime

Dr. Martin Goodson is the founder and CEO of Evolution AI, a company he launched in 2012 to apply deep learning to optical character recognition (OCR). The company has received one of the largest AI R&D grants ever awarded by the UK government, along with investment from First Minute Capital. A former scientific researcher at Oxford University, Martin has led AI research across several organizations and was elected Chair of the Data Science and AI Section of the Royal Statistical Society in 2019.In this conversation, we discuss:Martin Goodson's journey from researching biological data to founding Evolution AI and pioneering deep learning for document understanding.Why traditional OCR missed the mark, and how combining visual and linguistic context unlocked a new frontier in document intelligence.The evolution from data extraction to true financial analysis, and why domain knowledge is essential for reading statements like income reports.The risks of LLM hallucinations, especially with numerical data, and why accuracy still requires combining techniques across model types.What Martin believes intelligence really is, and why language alone may be the wrong benchmark for AGI.Why recreating human intelligence shouldn't be the goal of AI research, and how we can build systems that support, not mimic, human thinking.Resources:Subscribe to the AI & The Future of Work NewsletterConnect with Martin on LinkedInCheck out the YouTube channel of the London Machine Learning MeetupAI fun fact articleOn How to Ovecome Imposter SyndromePast episodes mentioned:On Why doing Taxes is like finding the Best Route on a Map with Daniel MarcousOn Making AI Smarter Without Harming Humans with Peter Voss

In this podcast, we've partnered with a data science pharmacist to explore challenges that can arise when implementing artificial intelligence (AI) in pharmacy. We'll focus on his experience with AI governance, ethical challenges, and key considerations for the everyday pharmacist.   The information presented during the podcast reflects solely the opinions of the presenter. The information and materials are not, and are not intended as, a comprehensive source of drug information on this topic. The contents of the podcast have not been reviewed by ASHP, and should neither be interpreted as the official policies of ASHP, nor an endorsement of any product(s), nor should they be considered as a substitute for the professional judgment of the pharmacist or physician.

From Olympic training to injury prevention, Luxembourg hosts the world's brightest minds to prove why maths might just be sport's secret superpower. After a round-up of mid-week news with Sasha Kehoe, my guests this week are: - Prof. Christophe Ley – Main organiser of MathSport International; leads the Modelling, Interdisciplinary Research, Data Science, Applied Mathematics and Statistics group at the University of Luxembourg.  - Prof. Romain Seil – World-renowned orthopaedic knee surgeon, IOC advisor, Director of the Neurosciences and Musculoskeletal Diseases Division at Centre Hospitalier de Luxembourg; co-founder of the European Society of Sports Traumatology, knee Surgery and Arthroscopy - ESSKA's Pediatric ACL registry and previous President of ESSKA, amongst many other organisations. - Prof. Thorben Hülsdünker – Professor in Performance Neuroscience and Sport Neurophysiology, Head of the Neurophysiology and Motor Control Research Area at LUNEX. - Alwin de Prins – Former Olympian and Managing Director at the Luxembourg Institute for High Performance in Sports (LIHPS) - Katarzyna Szczerba – PhD student with Prof. Ley, using machine learning with medical data to best use this data for injury prevention, and much more.  This week on The Lisa Burke Show, we dive deep into a blend of brain and brawn as Luxembourg hosts the 11th International MathSport Conference. While it may sound niche, what's unfolding here could revolutionise how athletes train, recover—and even avoid career-ending injuries. And not just athletes as many injuries are caused by people unprepared for activities they undertake once a year, such as skiing. Held from June 4–6 in the Coque and LUNEX University, the conference unites elite athletes, data scientists, surgeons and policymakers to explore how mathematics, data science and AI are transforming global sport. A Surgeon's Warning Professor Romain Seil, Luxembourg's globally celebrated knee specialist, put it bluntly: "If I could ban two sports for injury prevention, it would be football and alpine skiing." His data from years in the operating room is compelling. ACL injuries are devastating, often leading to early joint replacements. Professor Seil hopes we can increasingly pool real data to reform training, and embed prevention strategies from grass-roots to Olympic levels. “Coaches often don't realise the long-term damage until multiple players are injured. Data is how we change that.” Brains Behind the Brawn Professor Thorben Hülsdünker of LUNEX added another dimension with a focus on the connection of our body with our brain. He studies the neurophysiology of elite performance, from how athletes see and react, and how training can rewire the brain. “The brain is the next frontier of sports training,” he said. “Understanding it will define the next generation of champions.” Prof Hülsdünker knows that the best training targets both muscles and minds, combining sport science with neuroscience. AI Gets Personal PhD student AI-enhanced Cox Model blends machine learning with statistical models to predict runner injuries, and other medical issues, before they happen. “We're building tools that doctors and coaches can understand: simple, interpretable, but powerful enough to prevent injury.” Her AI-enhanced Cox Model is one of the standout presentations at MathSport 2025. From Pool to Policy Alwin de Prins, a three-time Olympic swimmer and now Director of LIHPS, reflects on what's changed since his competitive days: “I never had this level of support as an athlete. Now, our goal is to optimise not just performance, but well-being and life after sport.” His mission includes dual career planning, athlete health, and placing Luxembourg firmly on the map as a sporting—and scientific—nation. Why Luxembourg? Why Now? Professor Christophe Ley, the heart of this year's conference, pulled it all together: “Sport is full of data. We want to extract meaning from it—not just for medals, but for health, safety, and strategy.” With keynote talks ranging from sports analytics to injury prevention and economics, MathSport 2025 puts Luxembourg at the centre of a growing global movement: data-driven sport. https://www.linkedin.com/in/alwindeprins/ https://www.linkedin.com/in/christophe-ley-b71607166/ https://www.linkedin.com/in/romain-seil-9952172a/ https://www.linkedin.com/in/thorbenhuelsduenker/ https://www.linkedin.com/in/katarzyna-szczerba-4402b9192/ Get in touch  Tune in to The Lisa Burke Show on Today Radio Saturdays at 11am, Sundays at noon, and Tuesdays at 11am. Watch on RTL Play. Subscribe, rate, and review the podcast on Apple or Spotify!

Dr. Dan interviews Dr. Avriel Epps, a dynamic scholar, author, and strategist whose work sits at the crossroads of transformative justice and artificial intelligence. With a PhD in Human Development and a masters in Data Science from Harvard University, Dr. Epps brings a fresh and critical perspective to conversations about technology, equity, and social justice. On today's episode, Dr. Dan and Dr. Epps explore her work around how bias in predictive technologies affects racial, gender, and sociopolitical identity development. She aims to understand the complex ways that algorithm design and computer-mediated social expectations—often communicated through artificial intelligence systems—impact the beliefs, behaviors, and health of developing humans. On today's episode, listeners will hear explanations and examples about how AI can sometimes reinforce unfairness. Dr. Dan and Dr. Epps urge us to be part of the solution by demanding technology that works for everyone, not just a few. Dr. Avriel Epps is a former child actor and an R&B artist turned algorithmic justice expert. Her work shows us that AI is not neutral, reminds us algorithmic bias impacts are real, and urges us to question technology.  In the Fall of 2025, she will begin her tenure as Assistant Professor of Fair and Responsible Data Science at Rutgers University. For more information www.avrielepps.com and follow @kingavriel on Instagram. Please listen, follow, rate, and review Make It a Great One on Apple Podcasts, Spotify, or wherever you listen to podcasts. Follow @drdanpeters on social media. Visit www.drdanpeters.com and send your questions or guest pitches to podcast@drdanpeters.com. We have this moment, this day, and this life—let's make it a great one. – Dr. Dan Learn more about your ad choices. Visit podcastchoices.com/adchoices

Andrew Heiss is an assistant professor in the Department of Public Management and Policy at the Andrew Young School of Policy Studies at Georgia State University. Vincent's “What is your estimand” section in his {marginaleffects} book: https://marginaleffects.com/chapters/challenge.html#sec-goals_estimand Article on defining estimands: https://doi.org/10.1177/00031224211004187 Andrew's marginal effects post: https://www.andrewheiss.com/blog/2022/05/20/marginalia/ Andrew's post on “fixed effects” and mariginal effects across different disciplines: https://www.andrewheiss.com/blog/2022/11/29/conditional-marginal-marginaleffects/ Follow along on Bluesky: Andrew: @andrew.heiss.phd Ellie: @epiellie.bsky.social Lucy: @lucystats.bsky.social  

Fabric personas were originally designed to break down the various functional roles within Microsoft Fabric—such as Power BI, Data Factory, Data Activator, Data Engineering, Data Science, Data Warehouse, and Real-time Analytics—into more manageable, bite-sized sections. The goal was to prevent users from feeling overwhelmed by the platform's breadth. However, this feature has since been discontinued, as it did not effectively communicate the seamless integration between these roles. Still, the underlying concepts can be useful when thinking about how you might approach Fabric from a functional standpoint. Do you like the change on one large white canvas, or did personas have a use for you? Let us know in the comments below. We hope you enjoyed this conversation on personas in Microsoft Fabric. If you have questions or comments, please send them our way. We would love to answer your questions on a future episode. Leave us a comment and some love ❤️on LinkedIn, X, Facebook, or Instagram. The show notes for today's episode can be found at Episode 285: Who is Using Microsoft Fabric. Have fun on the SQL Trail!

In this masterclass Shifra Isaacs, developer Relations Advocate at Ascend.io, delves into her experience as data scientist, technical writer, and support lead providing fresh insights for FP&A and finance professionals. In this episode: Data science vs business analytics  Pulling data not yet able to be modeled  Python for Excel  The right models for risk scoring, variance analysis and forecasting  Replicating a process with a new tool using AI How can we survive in an AI first world Connect with Shifra Isaacs on LinkedIn: https://www.linkedin.com/in/shifra-isaacs/

In this episode, Robert Weber talks to Tom Zehle from Airbus. He explains how he stays up to date, how he analyzes papers, and what he wants from research. The Industrial AI Podcast reports weekly on the latest developments in AI and Machine Learning for the engineering, robotics, automotive, process and automation industries. The podcast features industrial users, scientists, vendors and startups in the field of Industrial AI and Machine Learning. The podcast is hosted by Peter Seeberg, Industrial AI consultant and Robert Weber, tech journalist.

AI is increasing the number of cyberattacks, but it's also playing a crucial role in defending against them. The intersection between AI and cybersecurity is at the centre of this episode of HSBC's Perspectives series – featuring Isabelle Meyer, Co-CEO and Co-Founder, ZENDATA Cybersecurity, in-conversation with Mark McDonald, Head of Data Science & Analytics, HSBC Global Research.Watch or listen to their discussion on the evolving threat landscape, including the growing need to protect satellite communication, and the key considerations for investors in this space.This episode was recorded on the sidelines of the HSBC Global Investment Summit in Hong Kong on 27 March 2025. Find out more here: grp.hsbc/gisDisclaimer: Views of external guest speakers do not represent those of HSBC.

Joshua is a certified Data Scientist and the Founder & CEO of SparkCharge. His experience in entrepreneurship and startups spans over 6 years and he is a dynamic figure in the cleantech community. Joshua is also the most recent winner of the world's largest pitch competition, 43North. Joshua holds a B.A. in Economics and a Masters Degree in Information Management and Data Science from Syracuse University.https://www.sparkcharge.io/https://nexuspmg.com/

The first of two episodes that we recorded at Seamless Middle East in Dubai, produced in partnership with BPC, a payments processor that builds digital ecosystems that enable seamless payment experiences. Our guests for this first set of interviews were: 1/ Usama Elsayed, COO and Area Managing Director for MEA Region, BPC 2/ Saif A Khan, Head of Enterprise Digital Transformation, Emaar 3/ Adil Belhouari, Senior Vice President / Head of AI, Analytics & Data Science, Riyad Bank 4/ Kareem Abdel-Rahman, Head of Global Transaction Banking, QNB Egypt 5/ AbdelRaouf Hussein, CEO, Smart Cards Applications Company 6/ Rob Silsbury, VP Marketing & Ecommerce, Alshaya Group

Topics covered in this episode: git-flight-rules Uravelling t-strings neohtop Introducing Pyrefly: A new type checker and IDE experience for Python 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. Michael #1: git-flight-rules What are "flight rules"? A guide for astronauts (now, programmers using Git) about what to do when things go wrong. Flight Rules are the hard-earned body of knowledge recorded in manuals that list, step-by-step, what to do if X occurs, and why. Essentially, they are extremely detailed, scenario-specific standard operating procedures. [...] NASA has been capturing our missteps, disasters and solutions since the early 1960s, when Mercury-era ground teams first started gathering "lessons learned" into a compendium that now lists thousands of problematic situations, from engine failure to busted hatch handles to computer glitches, and their solutions. Steps for common operations and actions I want to start a local repository What did I just commit? I want to discard specific unstaged changes Restore a deleted file Brian #2: Uravelling t-strings Brett Cannon Article walks through Evaluating the Python expression Applying specified conversions Applying format specs Using an Interpolation class to hold details of replacement fields Using Template class to hold parsed data Plus, you don't have to have Python 3.14.0b1 to try this out. The end result is very close to an example used in PEP 750, which you do need 3.14.0b1 to try out. See also: I've written a pytest version, Unravelling t-strings with pytest, if you want to run all the examples with one file. Michael #3: neohtop Blazing-fast system monitoring for your desktop Features Real-time process monitoring CPU and Memory usage tracking Beautiful, modern UI with dark/light themes Advanced process search and filtering Pin important processes Process management (kill processes) Sort by any column Auto-refresh system stats Brian #4: Introducing Pyrefly: A new type checker and IDE experience for Python From Facebook / Meta Another Python type checker written in Rust Built with IDE integration in mind from the beginning Principles Performance IDE first Inference (inferring types in untyped code) Open source I mistakenly tried this on the project I support with the most horrible abuses of the dynamic nature of Python, pytest-check. It didn't go well. But perhaps the project is ready for some refactoring. I'd like to try it soon on a more well behaved project. Extras Brian: Python: The Documentary Official Trailer Tim Hopper added Setting up testing with ptyest and uv to his “Python Developer Tooling Handbook” For a more thorough intro on pytest, check out courses.pythontest.com pocket is closing, I'm switching to Raindrop I got one question about code formatting. It's not highlighted, but otherwise not bad. Michael: New course! Polars for Power Users: Transform Your Data Analysis Game Apache Airflow 3.0 Released Paste 5 Joke: Theodore Roosevelt's Man in the Arena, but for programming

La ciencia de datos transforma la vida de quienes usan un smartphone a diario, al ofrecer experiencias personalizadas, optimizar productos y servicios, y reforzar la seguridad en el entorno digital. Aunque no conozcamos los aspectos técnicos, su impacto en nuestra rutina es profundo y constante.Descubre todos los detalles en nuestro Podcast 807. Hosted on Acast. See acast.com/privacy for more information.

If we want to make progress toward AGI, we need a clear definition of intelligence—and a way to measure it. In this episode, Hugo talks with Greg Kamradt, President of the ARC Prize Foundation, about ARC-AGI: a benchmark built on Francois Chollet's definition of intelligence as “the efficiency at which you learn new things.” Unlike most evals that focus on memorization or task completion, ARC is designed to measure generalization—and expose where today's top models fall short. They discuss:

Every year, statistics classes are filled with math averse students who white knuckle it to the end of the semester in the hopes of getting a passing grade. And the dream of forgetting about math and statistics for a little while. But what if it didn't have to be that way? What if instead of white knuckling it, students were actually excited about the subject; or, at the very least, not terrified of it? Two professors has been developing strategies to help students get over their fear of “sadisistics” and that's the focus of this special two part episode Stats and Stories Hunter Glanz is an Associate Professor of Statistics and Data Science at California Polytechnic State University. He maintains a passion for machine learning and statistical computing, and enjoys advancing education efforts in these areas. In particular, Cal Poly's courses in multiple computing languages give him the opportunity to connect students with exciting data science topics amidst a firm grounding in communication of statistical ideas. Rhys Jones is an internationally recognized expert in statistical literacy and education, known for his leadership in curriculum development, digital learning, and student engagement. Originally trained in biochemistry and immunology, he transitioned to focus on making statistics more accessible and engaging for students and teachers across various education levels.

Send us a textDr. Adrian Soto-Mota is a returning guest on our show! Be sure to check out episode 138 of Boundles Body Radio, which was part of a special series we did, featuring Dr. Nick Norwitz as the guest host!We also hosted Dr. Soto-Mota on episode 340, episode 419, and episode 599 of our show!Dr. Soto-Mota is a MD PhD & Specialist in Internal Medicine and Data Science researcher at the Unidad de Investigación de Emfermedades Metabólicas! Dr. Soto-Mota is passionate about studying low carbohydrate and ketogenic diets, and how they impact human metabolism.Dr. Soto-Mota earned his MD from the Universidad Nacional Autónoma de México, and earned his Ph.D. at Oxford. He has created many resources to help people successfully implement a low carbohydrate diet, and provides that help for both English and Spanish speaking individuals.He is the co-author of a 2022 paper titled The Lipid Energy Model: Reimagining Lipoprotein Function in the Context of Carbohydrate-Restricted Diets, and the co-author of the recent paper titled Plaque Begets Plaque, ApoB Does Not: Longitudinal Data From the KETO-CTA Trial- JACC Journal April 7, 2025, both of which were also co-authored by former guests Dr. Norwitz and Dave Feldman, who we hosted in episode 109 of Boundless Body Radio!Find Dr. Soto-Mota at-TW- @AdrianSotoMotaPlaque Begets Plaque, ApoB Does Not: Longitudinal Data From the KETO-CTA Trial- JACC Journal April 7, 2025Keto Cholesterol study SHOCKS scientific community | LMHRs & heart disease from the Nutrition Made Simple YouTube ChannelAnalyzing the KETO-CTA Study with Dr. Gil Carvalho 813 on Boundless Body Radio!Discussing Keto-CTA with Darius Sharpe with Dave Feldman and Darius SharpeFind Boundless Body at- myboundlessbody.com Book a session with us here!

Wharton's Cade Massey, Eric Bradlow, Shane Jensen, and Adi Wyner speak with Ron Yurko, Assistant Teaching Professor in the Department of Stats & Data Science at Carnegie Mellon University, and Director of the Carnegie Mellon Sports Analytics Center, about Scottie Scheffler's PGA win, golf analytics and modeling, and assessing long-term performance. Hosted on Acast. See acast.com/privacy for more information.

Data scientists can often find themselves in a frustrating cycle - meticulously executing stakeholder requests only to discover what they delivered isn't what was actually needed. The disconnect between what stakeholders ask for and what truly solves their problems can derail projects and limit advancement of your career.In this episode, Bill Shander joins Dr. Genevieve Hayes to reveal the "Stakeholder Whispering" approach from his new book - a methodology that transforms technical experts from order-takers into strategic partners who uncover and address true business needs.This conversation reveals:Why stakeholders struggle to articulate what they truly need (and often don't even know themselves) [06:32]How the "Socratic method" creates breakthrough moments that help stakeholders discover their own requirements [11:00]The six-question framework that strategically alternates between divergent and convergent thinking to reveal hidden needs [14:54]Why approaching stakeholder conversations like a curious investigator rather than a cross-examiner builds trust and uncovers deeper insights [13:28]Guest BioBill Shander is the founder of Beehive Media, a data visualisation and information design consultancy. He is also a keynote speaker; teaches workshops on data storytelling, information design, data visualisation and data analytics; and is the author of Stakeholder Whispering.LinksBill's WebsiteConnect with Bill on LinkedInConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

Demetrios, Sam Partee, and Rahul Parundekar unpack the chaos of AI agent tools and the evolving world of MCP (Model Context Protocol). With sharp insights and plenty of laughs, they dig into tool permissions, security quirks, agent memory, and the messy path to making agents actually useful.// BioSam ParteeSam Partee is the CTO and Co-Founder of Arcade AI. Previously a Principal Engineer leading the Applied AI team at Redis, Sam led the effort in creating the ecosystem around Redis as a vector database. He is a contributor to multiple OSS projects including Langchain, DeterminedAI, LlamaIndex and Chapel amongst others. While at Cray/HPE he created the SmartSim AI framework which is now used at national labs around the country to integrate HPC simulations like climate models with AI. Rahul ParundekarRahul Parundekar is the founder of AI Hero. He graduated with a Master's in Computer Science from USC Los Angeles in 2010, and embarked on a career focused on Artificial Intelligence. From 2010-2017, he worked as a Senior Researcher at Toyota ITC working on agent autonomy within vehicles. His journey continued as the Director of Data Science at FigureEight (later acquired by Appen), where he and his team developed an architecture supporting over 36 ML models and managing over a million predictions daily. Since 2021, he has been working on AI Hero, aiming to democratize AI access, while also consulting on LLMOps(Large Language Model Operations), and AI system scalability. Other than his full time role as a founder, he is also passionate about community engagement, and actively organizes MLOps events in SF, and contributes educational content on RAG and LLMOps at learn.mlops.community.// Related LinksWebsites: arcade.devaihero.studio~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreMLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Rahul on LinkedIn: /rparundekarConnect with Sam on LinkedIn: /samparteeTimestamps:[00:00] Agents & Tools, Explained (Without Melting Your Brain)[09:51] MVP Servers: Why Everything's on Fire (and How to Fix It)[13:18] Can We Actually Trust the Protocol?[18:13] KYC, But Make It AI (and Less Painful)[25:25] Web Automation Tests: The Bugs Strike Back[28:18] MCP Dev: What Went Wrong (and What Saved Us)[33:53] Social Login: One Button to Rule Them All[39:33] What Even Is an AI-Native Developer?[42:21] Betting Big on Smarter Models (High Risk, High Reward)[51:40] Harrison's Bold New Tactic (With Real-Life Magic Tricks)[55:31] Async Task Handoffs: Herding Cats, But Digitally[1:00:37] Getting AI to Actually Help Your Workflow[1:03:53] The Infamous Varma System Error (And How We Dodge It)

In this episode of In the Passenger's Seat, host Matt Mitteldorfer is joined by John Coles, ACV's VP of Data Science & Analytics, for a deep dive into the shifting dynamics of the used vehicle market. From pricing pressure to inventory shortages, John unpacks how ACV is helping dealers adapt through powerful machine learning, predictive analytics, and AI-driven tools.Learn how to price with confidence, make smarter sourcing decisions, and use data to overcome today's biggest operational roadblocks. Whether you're navigating tighter margins or rethinking your buying strategy, this episode offers real-world insights that can help you stay in the driver's seat.

Yaron Singer, Vice President of AI and Security at Cisco, co-founded a company specializing in artificial intelligence solutions, which was acquired by Cisco in 2024. They developed a firewall for artificial intelligence, a tool designed to protect AI from making critical mistakes. No matter how sophisticated AI is, errors can still happen, and these errors can have far-reaching consequences. The product is designed to detect and fix such mistakes. This technology was developed long before ChatGPT and its competitors burst onto the scene, making it the hottest industry in tech investment. Join Singer as he sits down with UC San Diego professor Mikhail Belkin to discuss his work and the continued effort to make artificial intelligence secure. Series: "Data Science Channel" [Science] [Show ID: 40265]

Yaron Singer, Vice President of AI and Security at Cisco, co-founded a company specializing in artificial intelligence solutions, which was acquired by Cisco in 2024. They developed a firewall for artificial intelligence, a tool designed to protect AI from making critical mistakes. No matter how sophisticated AI is, errors can still happen, and these errors can have far-reaching consequences. The product is designed to detect and fix such mistakes. This technology was developed long before ChatGPT and its competitors burst onto the scene, making it the hottest industry in tech investment. Join Singer as he sits down with UC San Diego professor Mikhail Belkin to discuss his work and the continued effort to make artificial intelligence secure. Series: "Data Science Channel" [Science] [Show ID: 40265]

In this week's episode, the last of Season 6,  Patrick and Greg pull back the curtain and reveal how the Quantitude sausage is actually made. Their motivation is to share their own joys and challenges in making a podcast in the hope that others might consider doing this themselves, whether it be for simple self-satisfaction or for using it as a free speech platform in a time when other avenues of communication are feeling increasingly compromised. Along the way they also discuss baring your soul, being 20 minutes away, losing money, Guglielmo Marconi, palak paneer, Taylor Swift, Machiavelli's bad rap, Quincy Jones, hostage negotiations, two blind squirrels, our Innies, for love of the game, Jiffy (in moderation), Blood Meridian, and Edmund Burke.Stay in contact with Quantitude! Web page: quantitudepod.org TwitterX: @quantitudepod YouTube: @quantitudepod Merch: redbubble.com

We've all seen the headlines - AI is revolutionising everything from how students learn to how teachers teach. The promise of personalised learning paths, automated grading, and AI teaching assistants has created a gold rush mentality in education technology. But in our rush to adopt these powerful new tools, are we moving too fast? Today we'll explore why when it comes to AI in education, we need to learn fast but act more slowly and thoughtfully. We'll look at both the tremendous opportunities and serious risks that AI tools present for students and educators. We'll examine where AI can truly add value in education versus where human teachers remain irreplaceable. And most importantly, we'll discuss why comprehensive AI literacy and training is absolutely crucial - not just for educators, but for everyone involved in shaping young minds. Drawing on insights from leading experts on the frontlines of AI in education, we'll provide a framework for thinking about how to implement AI tools responsibly and effectively. Whether you're a teacher, administrator, policymaker or parent, this episode will give you practical guidance for navigating the AI revolution in education. Talking points and questions may include: Opportunities and risks of the tools: Adaptive or personalised learning paths, automated marking and feedback, content generation, analytics and teaching assistants, but also inaccuracy and lack of transparency, data risks, biases, ethics and safeguarding, and like social media, the unintended lasting consequences Where AI is best placed: Is it EdTech and tools in the classroom, the augmentation and elevation of human intelligence, or is it just learning about AI and what it can do and why (is knowledge=power enough?) Why it is so important that understanding and training are emphasised and why everyone needs to have such training Without it there can be safeguarding disasters, skills training can be insufficient, many AI tool providers are offering free training to learn to use their tool but this is consumerised and inadequate and can be ethically questionable; do we want successive generations to only be producing AI tools that are exploitative and using our data and our IP without our consent, or do we want to help people with technology and for the partnership to be of most benefit to them? Guests: Rt. Hon the Lord Knight of Weymouth, Jim Knight Rob Robson, ASCL Trust Leadership Consultant

A CMO Confidential Interview with Dr. Joel Shapiro, Managerial Economics & Decision Sciences Professor at the Kellogg School of Management at Northwestern, formerly Varicent Chief Analytics Officer. Joel discusses the difference between Data Science and Data Leadership, how many "little, better decisions" aggregate into something meaningful, and why everyone should remember that "data doesn't make decisions." Key topics include: understanding asymmetric risk, how intangibles scuttled a profitable data driven opportunity; why you should never say "because the model says so;" and the need to set error expectations to build trust. Tune in to hear about his research on planning for adversity in the NFL.

The folks over at Astral have made some big-time impacts in the Python space with uv and ruff. They are back with another amazing project named ty. You may have known it as Red-Knot. But it's coming up on release time for the first version and with the release it comes with a new official name: ty. We have Charlie Marsh and Carl Meyer on the show to tell us all about this new project. Episode sponsors Posit Auth0 Talk Python Courses Links from the show Talk Python's Rock Solid Python: Type Hints & Modern Tools (Pydantic, FastAPI, and More) Course: training.talkpython.fm Charlie Marsh on Twitter: @charliermarsh Charlie Marsh on Mastodon: @charliermarsh Carl Meyer: @carljm ty on Github: github.com/astral-sh/ty A Very Early Play with Astral's Red Knot Static Type Checker: app.daily.dev Will Red Knot be a drop-in replacement for mypy or pyright?: github.com Hacker News Announcement: news.ycombinator.com Early Explorations of Astral's Red Knot Type Checker: pydevtools.com Astral's Blog: astral.sh Rust Analyzer Salsa Docs: docs.rs Ruff Open Issues (label: red-knot): github.com Ruff Types: types.ruff.rs Ruff Docs (Astral): docs.astral.sh uv Repository: github.com Watch this episode on YouTube: youtube.com 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

Biden has been diagnosed with cancer… that he has had for years. How deep does this coverup go? Who has really been running the government? Pope Leo makes some bold moves and Hilary Clinton hates babies. Finally, a Mexican tall ship crashes into the Brooklyn Bridge! All this and more on the LOOPcast!This podcast is sponsored, in part, by the University of Dallas!The University of Dallas MS in Data Science and AI blends technical excellence with human-centered leadership. Designed for working professionals, this program combines hands-on projects in AI, cybersecurity, and analytics with a faith-informed core curriculum. Build skills that matter in real-world settings and graduate ready to lead with purpose. Click https://hubs.ly/Q03fXwV90 to learn more!This podcast is sponsored, in part, by Home Title Lock!Did you know that American Homeowners have over 32 TRILLION DOLLARS in Equity? The best way to protect your equity is with Home Title Lock's exclusive Million Dollar Triple Lock Protection. Go to https://hometitlelock.com/loopcast to save 30% AND you'll also get a free title history report to ensure you're not already a victim. And make sure you check out the Million Dollar Triple Lock Protection details when you get there.0:00 – Welcome back to the LOOPcast!1:15 – University of Dallas2:15 – Biden's Diagnosis25:13 – Home Title Lock26:21 – Pope Leo's First Mass!40:12 – Good News!45:19 – Bombing in CA55:02 – Drinking Coach1:04:48 – Twilight ZoneEMAIL US: loopcast@catholicvote.org SUPPORT LOOPCAST: www.loopcast.orgAll opinions expressed on LOOPcast by the participants are their own and do not necessarily reflect the opinions of CatholicVote.

Topics covered in this episode: pre-commit: install with uv PEP 773: A Python Installation Manager for Windows (Accepted) Changes for Textual The Best Programmers I Know Extras Joke Watch on YouTube About the show Sponsored by NordLayer: pythonbytes.fm/nordlayer 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: pre-commit: install with uv Adam Johnson uv tool works great at keeping tools you use on lots of projects up to date quickly, why not use it for pre-commit. The extension of pre-commit-uv will use uv to create virtual environments and install packages fore pre-commit. This speeds up initial pre-commit cache creation. However, Adam is recommending this flavor of using pre-commit because it's just plain easier to install pre-commit and dependencies than the official pre-commit install guide. Win-win. Side note: No Adam, I'm not going to pronounce uv “uhv”, I'll stick with “you vee”, even Astral tells me I'm wrong Michael #2: PEP 773: A Python Installation Manager for Windows (Accepted) via pycoders newsletter One manager to rule them all – PyManager. PEP 773 replaces all existing Windows installers (.exe “traditional” bundle, per-version Windows Store apps, and the separate py.exe launcher) with a single MSIX app called Python Install Manager (nick-named PyManager). PyManager should be mainstream by CPython 3.15, and the traditional installer disappears no earlier than 3.16 (≈ mid-2027). Simple, predictable commands. python → launches “the best” runtime already present or auto-installs the latest CPython if none is found. py → same launcher as today plus management sub-commands: py install, py uninstall, py list, py exec, py help. Optional python3 and python3.x aliases can be enabled by adding one extra PATH entry. Michael #3: Changes for Textual Bittersweet news: the business experiment ends, but the code lives on. Textual began as a hobby project layered on top of Rich, but it has grown into a mature, “makes-the-terminal-do-the-impossible” TUI framework with an active community and standout documentation. Despite Textual's technical success, the team couldn't pinpoint a single pain-point big enough to sustain a business model, so the company will wind down in the coming weeks. The projects themselves aren't going anywhere: they're stable, battle-tested, and will continue under the stewardship of the original author and the broader community. Brian #4: The Best Programmers I Know Matthias Endler “I have met a lot of developers in my life. Lately, I asked myself: “What does it take to be one of the best? What do they all have in common?”” The list Read the reference Know your tools really well Read the error message Break down problems Don't be afraid to get your hands dirty Always help others Write Never stop learning Status doesn't matter Build a reputation Have patience Never blame the computer Don't be afraid to say “I don't know” Don't guess Keep it simple Each topic has a short discussion. So don't just ready the bullet points, check out the article. Extras Brian: I had a great time in Munich last week. I a talk at a company event, met with tons of people, and had a great time. The best part was connecting with people from different divisions working on similar problems. I love the idea of internal conferences to get people to self organize by topic and meet people they wouldn't otherwise, to share ideas. Also got started working on a second book on the plane trip back. Michael: Talk Python Clips (e.g. mullet) Embrace your cloud firewall (example). Python 3.14.0 beta 1 is here Congrats to the new PSF Fellows. Cancelled faster CPython https://bsky.app/profile/snarky.ca/post/3lp5w5j5tws2i Joke: How To Fix Your Computer

What should I do next? A common question, one that seems simple on the surface, but the answer, especially a more optimal answer, can be very difficult to uncover. It may involve information that the asker is not aware of, be unintuitive, or even be counter to our instincts.This month, we discuss a new Klaviyo feature: Next Best Action. Utilizing Klaviyo's knowledge of marketing best practices, we can recommend specific actions that are likely to be highly advantageous

In this episode, Kane Simms is joined by Katherine Munro, Conversational AI Engineer at Swisscom, for a deep dive into what might sound like an odd pairing: using LLMs to classify customer intents.Large Language Models (LLMs) are powerful, multi-purpose tools. But would you trust one to handle the precision of a classification task?It's an unlikely fit for an LLM. Classifiers typically need to be fast, accurate, and interpretable. LLMs are slow, random black-boxes. Classifiers need to output a single label. LLMs never stop talking.And yet, there are good reasons to use LLMs for such tasks, and emerging architectures and techniques. Many real-world use cases need a classifier, and many data and product development teams will soon find themselves wondering: could GPT handle that?If that sounds like you, then check out this extended episode to explore how Switzerland's largest telecommunications provider tackles this issue while building a next-generation AI assistant. This episode is brought to you by NLX.NLX is a conversational AI platform enabling brands to build and manage chat, voice and multimodal applications. NLX's patented Voice+ technology synchronizes voice with digital channels, making it possible to automate complex use cases typically handled by a human agent. When a customer calls, the voice AI guides them to resolve their inquiry through self-service using the brand's digital asset, resulting in automation and CSAT scores well above industry average. Just ask United Airlines.Shownotes:"The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics" - Available on Amazon: https://a.co/d/3wNN9cvKatherine's website: http://katherine-munro.com/Subscribe to VUX World: https://vuxworld.typeform.com/to/Qlo5aaeWSubscribe to The AI Ultimatum Substack: https://open.substack.com/pub/kanesimmsGet in touch with Kane on LinkedIn: https://www.linkedin.com/in/kanesimms/ Hosted on Acast. See acast.com/privacy for more information.

with @rhhackett @smc90 @DarenMatsuoka @SamBronerWelcome to web3 with a16z, a show about the next generation of the internet. I'm Robert Hackett.There has been a flurry of stablecoin news lately, so we're doing a special bonus episode to cover everything that's been going on. Sonal and I are joined by a16z crypto's Data Science lead Daren Matsuoka who shares the actual data behind the stablecoin trend. Then we have Sam Broner — who is a Deal Partner here and our frequent author on stablecoins — to analyze the news, and help highlight the signal versus the noise.Here's a selection of the news:USDC issuer Circle filed to go public on the New York Stock ExchangeCoinbase released an agentic payments standard with support for stablecoin paymentsVisa and Mastercard enhanced stablecoin supportStripe announced stablecoin financial account balances, a programmable stablecoin (via Bridge), a stablecoin-backed card, and moreMeta is reportedly in talks to introduce stablecoins as a means for payoutsAnd much moreWe also have one of our regular episodes covering the broader stablecoins trend and big picture, dropping separately in the feed, also with Sam and a16z crypto Founder Chris Dixon, so be sure to check that out next.Timestamps:(0:00) Introduction(1:30) Stablecoin Data Overview(3:55) Stablecoin Adoption and Infrastructure(4:24) Market Share of Issuers and Blockchains(6:10) Stablecoin Growth vs. Crypto Market Cycles(7:45) Stablecoin News and Developments(9:44) Fintech Embraces Stablecoins(12:44) Legacy Payment Systems vs. Stablecoins(17:04) The Future of Stablecoins and Open Networks(22:11) ConclusionLinks to related resources:Everything stablecoins: Big picture, deep dive with Chris Dixon, Sam Broner, and Robert Hackett (a16z crypto, May 2025)A chart of stablecoin usage growth vs. crypto market cyclicality (@DarenMatsuoka on X)The month fintechs embraced stablecoins by Sam Broner (a16z crypto, May 2025)What Stripe's acquisition of Bridge means for fintech and stablecoins by James da Costa and Sam Broner (a16z crypto, April 2025)A guide to stablecoins: What, why, and how by a16z crypto editorial (a16z crypto, April 2025)As a reminder, none of the content should be taken as investment, business, legal, or tax advice; please see a16z.com/disclosures for more important information, including a link to a list of our investments.

In this installment of Sasquatch Tracks, the team presents an update on the well-attended annual Ohio Bigfoot Conference, before taking a deep-dive into one of the most promising new analytical endeavors related to relict hominoid research, The Sasquatch Data Project.  Joining us to discuss this ambitious effort is Terrestrial, the nom de plume of the data scientist behind The Sasquatch Data Project who in the past worked on NASA's Dawn Mission related to the study of the dwarf planet Ceres. Terrestrial has a Bachelor of Science in Earth & Atmospheric Sciences from the Georgia Institute of Technology and is currently pursuing a Blue Ridge Naturalist certification. According to her website, while working as an undergrad at Georgia Tech, she played an integral role in categorizing, identifying, and measuring ground-ice features on Ceres for NASA's Dawn Mission, and first-authored a paper published in JGR: Planets, in addition to co-authoring several papers while working on this mission. Terrestrial tells us her interest in Sasquatch began at the early age of 5 and has only grown since. In 2023 she decided to retire as a professional Twitch gaming live-streamer and devote her time into creating the ultimate data resource to aid in the research of North America's soon-to-be-known great ape, the Sasquatch. Stories and other links discussed in this episode:  The Sasquatch Data Project: Official Website The Sasquatch Data Project on Instagram Song: Summer Night by Pro Tunes Music (Video Link) Connect with Sasquatch Tracks! Get T-shirts, mugs, and more at the Sasquatch Tracks Store on Tee Public. Follow Sasquatch Tracks on Instagram. Follow Sasquatch Tracks on X. Got a news tip or story to share? Send us an Email. Have you seen an animal you can't identify? Submit a report here.

Cassie Kozyrkov created the discipline of decision intelligence, combining the power of AI with data science to enable companies to make better choices. She's now an AI advisor, and she writes the popular Decision Intelligence newsletter. Kozyrkov joined the WorkLab podcast to discuss how leaders can maximize the potential of AI and data, why having too many options is as unhelpful as having too few, and how to avoid falling prey to confirmation bias. WorkLab Subscribe to the WorkLab newsletter  

Looking for powerful AI tools that can dramatically boost your impact, regardless of the size of the businesses you serve? You don't need an enterprise-size budget to transform your work and create massive value for your stakeholders.In this Value Boost episode, Heidi Araya joins Dr Genevieve Hayes to reveal three high-impact, low-cost AI tools that deliver exceptional ROI for both your data science career and for even the most budget-conscious clients.In this episode, you'll uncover:Why Claude consistently outperforms ChatGPT for business applications and how to leverage it as your AI partner for everything from sales coaching to content creation [01:32]How Perplexity delivers real-time research capabilities that save hours of manual work while providing verified sources you can trust [04:02]How Fireflies AI notetaker creates a searchable knowledge base from client conversations that enhances follow-up and project management [07:56]A practical first step to start implementing this maximum-value toolkit in your data science practice tomorrow [09:39]Guest BioHeidi Araya is the CEO and chief AI consultant of BrightLogic, an AI automation agency that specializes in delivering people-first solutions that unlock the potential of small to medium sized businesses. She is also a patented inventor, an international keynote speaker and the author of two upcoming books, one on process improvement for small businesses and the other on career and personal reinvention.LinksConnect with Heidi on LinkedInBrightLogic websiteConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

Python has many string formatting styles which have been added to the language over the years. Early Python used the % operator to injected formatted values into strings. And we have string.format() which offers several powerful styles. Both were verbose and indirect, so f-strings were added in Python 3.6. But these f-strings lacked security features (think little bobby tables) and they manifested as fully-formed strings to runtime code. Today we talk about the next evolution of Python string formatting for advanced use-cases (SQL, HTML, DSLs, etc): t-strings. We have Paul Everitt, David Peck, and Jim Baker on the show to introduce this upcoming new language feature. Episode sponsors Posit Auth0 Talk Python Courses Links from the show Guests: Paul on X: @paulweveritt Paul on Mastodon: @pauleveritt@fosstodon.org Dave Peck on Github: github.com Jim Baker: github.com PEP 750 – Template Strings: peps.python.org tdom - Placeholder for future library on PyPI using PEP 750 t-strings: github.com PEP 750: Tag Strings For Writing Domain-Specific Languages: discuss.python.org How To Teach This: peps.python.org PEP 501 – General purpose template literal strings: peps.python.org Python's new t-strings: davepeck.org PyFormat: Using % and .format() for great good!: pyformat.info flynt: A tool to automatically convert old string literal formatting to f-strings: github.com Examples of using t-strings as defined in PEP 750: github.com htm.py issue: github.com Exploits of a Mom: xkcd.com pyparsing: github.com Watch this episode on YouTube: youtube.com 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

The crew breaks down Pope Leo XIV's first speech to the cardinals, where he explains his name choice and sets a fiery agenda for tackling the “new revolution” of AI—focusing on human dignity, justice, and the common good. Josh shares his firsthand experience at the Pope's audience with journalists (yes, there were jokes!), while we unpack Leo's Mother's Day homily, his call for peace during the Regina Caeli, and his brother's wild MAGA antics on Newsmax.. Good news? Erika's basically Pope Leo's mom, and Josh celebrates the EPA nixing that annoying car shutdown feature and… does the Pope have to pay taxes?EMAIL US: loopcast@catholicvote.orgSUPPORT LOOPCAST: www.loopcast.orgToday's show is sponsored by:The University of DallasThe University of Dallas MS in Data Science and AI blends technical excellence with human-centered leadership. Designed for working professionals, this program combines hands-on projects in AI, cybersecurity, and analytics with a faith-informed core curriculum. Build skills that matter in real-world settings and graduate ready to lead with purpose. Learn more: https://hubs.ly/Q03fXwV90 Home Title Lock!So, when was the last time you checked on your title?The best way to protect your equity is with Home Title Lock's exclusive Million Dollar Triple Lock Protection. Go to https://hometitlelock.com/loopcast to save 30% AND you'll also get a free title history report to ensure you're not already a victim.All opinions expressed on LOOPcast by the participants are their own and do not necessarily reflect the opinions of CatholicVote.Note: originally the wrong file was uploaded for this episode. It is has been corrected and you are listening to the episode recorded live on 5/12/25!

On this episode of the Scouting For Growth podcast, Sabine VdL talks to Alon Kaufman, CEO and Co-Founder of Duality Technologies, a company that is revolutionising the way organisations collaborate on data while preserving privacy and security. During today’s conversation, we’ll explore the vision behind Duality Technologies, the real-world problems it is solving, and how organisations can future-proof themselves against risks by adopting privacy-preserving technologies. We’ll also dive into Alon’s inspiring journey as a technology leader and his perspective on the ethical and strategic aspects of data collaboration in the age of AI and Big Data. KEY TAKEAWAYS Combining and enhancing data sets is becoming more and more challenging in a world where privacy, security, regulations and data protection are becoming more critical. This is a good thing. What inspires us at Duality is to find a way to allow organisations to unlock the challenges around working together on data in a way that both protects the data and allows you to get the utility out of it. At the source of Duality is: How can we work on data sets without leaking or sharing the data. That’s where homomorphic encryption comes in. This allows us to work on and analyse data while it remains protected or encrypted. Two companies each have a list of customers and they both want to understand how many customers they have in intersection. The way you did this before is for company A to disclose it’s list of customers to company B which does the analysis and fins the intersection or go to a trusted third party. With duality, the two companies can use our software platform to run a computation that comes up with the intersection without either company seeing each other’s data. We all want our governments and law enforcement to be able to do their work, but we don’t want them to pull in every data point that we leave outside. Duality allows law enforcement investigations to run queries and analytics only on data that is allowed and only giving the insights that are needed. Government and healthcare – where data sets are large an sensitive – are big places where Duality has been successful. BEST MOMENTS ‘In order to get the most value out of data, the more you can bring data sets together and enhance them the better off you are.’ ‘Duality’s mission is to run AI data science analytics on data sets that cannot simply be centralised, and doing it where ethe data is while making sure the data isn’t exposed, privacy isn’t leaked or challenges of data localisation and regulation are not violated.’ ‘Companies that already know to work on their own data, and control it, can now go to the next step and do it in a collaborative way.’ ‘Insurance companies need to work together around fraud because the fraudsters utilise the fact different companies don’t talk and will attack one and then the other because they know the level of data shared between them is limited.’ ABOUT THE GUEST Alon Kaufman is the CEO and Co-Founder of Duality Technologies, a pioneering company at the forefront of data encryption and privacy technologies. With over 20 years of experience in technology leadership, Alon has a rich background that spans across Big Data, Data Science, Machine Learning, and Cybersecurity. As a thought leader, Alon frequently speaks on topics related to Big Data, Cybersecurity, and Innovation. He is committed to advancing the conversation around data privacy and security. LinkedIn ABOUT THE HOST Sabine is a corporate strategist turned entrepreneur. She is the CEO and Managing Partner of Alchemy Crew a venture lab that accelerates the curation, validation, & commercialization of new tech business models. Sabine is renowned within the insurance sector for building some of the most renowned tech startup accelerators around the world working with over 30 corporate insurers, accelerated over 100 startup ventures. Sabine is the co-editor of the bestseller The INSURTECH Book, a top 50 Women in Tech, a FinTech and InsurTech Influencer, an investor & multi-award winner. Twitter LinkedIn Instagram Facebook TikTok Email Website

What trends and technologies should you be paying attention to today? Are there hot new database servers you should check out? Or will that just be a flash in the pan? I love these forward looking episodes and this one is super fun. I've put together an amazing panel: Gina Häußge, Ines Montani, Richard Campbell, and Calvin Hendryx-Parker. We dive into the recent Stack Overflow Developer survey results as a sounding board for our thoughts on rising and falling trends in the Python and broader developer space. Episode sponsors NordLayer Auth0 Talk Python Courses Links from the show The Stack Overflow Survey Results: survey.stackoverflow.co/2024 Panelists Gina Häußge: chaos.social/@foosel Ines Montani: ines.io Richard Campbell: about.me/richard.campbell Calvin Hendryx-Parker: github.com/calvinhp Explosion: explosion.ai spaCy: spacy.io OctoPrint: octoprint.org .NET Rocks: dotnetrocks.com Six Feet Up: sixfeetup.com Stack Overflow: stackoverflow.com Python.org: python.org GitHub Copilot: github.com OpenAI ChatGPT: chat.openai.com Claude: anthropic.com LM Studio: lmstudio.ai Hetzner: hetzner.com Docker: docker.com Aider Chat: github.com Goose AI: goose.ai IndyPy: indypy.org OctoPrint Community Forum: community.octoprint.org spaCy GitHub: github.com Hugging Face: huggingface.co Watch this episode on YouTube: youtube.com 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: pirel: Python release cycle in your terminal FastAPI Cloud Python's new t-strings Extras Joke Watch on YouTube About the show Sponsored by NordLayer: pythonbytes.fm/nordlayer 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: pirel: Python release cycle in your terminal pirel check shows release information about your active Python interpreter. If the active version is end-of-life, the program exits with code 1. If no active Python interpreter is found, the program exits with code 2. pirel list lists all Python releases in a table. Your active Python interpreter is highlighted. A picture is worth many words Brian #2: FastAPI Cloud Sebastián Ramírez, creator of FastAPI, announced today the formation of a new Company, FastAPI Cloud. Here's the announcement blog post: FastAPI Cloud - By The Same Team Behind FastAPI There's a wait list to try it out. Promises to turns deployment into fastapi login; fastapi deploy Side note: announcement includes quote from Daft Punk: Build Harder, Better, Faster, Stronger I just included this in a talk I'm gave last week (and will again next week), where I modify this to “Build Easier, Better, Faster, Stronger” Sebastian and I are both fans of the rocket emoji. BTW, we first covered FastAPI on episode 123 in 2019 Brian #3: Python's new t-strings Dave Peck, one of the authors of PEP 750, which will go into Python 3.14 We covered t-strings in ep 428 In article t-strings security benefits over f-strings How to work with t-strings A Pig Latin example Also, I think I have always done this wrong Is it the first consonant to the end? or the first consonant cluster? So… Brian → Rianbay? or Ianbray? BTW, this is an example of nerdgassing What's next once t-strings ship? On thing that's next (in Python 3.15, maybe, is using t-strings in shlex and subprocess) PEP 787 – Safer subprocess usage using t-strings deferred to 3.15 Michael #4: zev A simple CLI tool to help you remember terminal commands. Examples: # Find running processes zev 'show all running python processes' # File operations zev 'find all .py files modified in the last 24 hours' # System information zev 'show disk usage for current directory' # Network commands zev 'check if google.com is reachable' # Git operations zev 'show uncommitted changes in git' Again, picture worth many words: Extras Brian: Holy Grail turns 50 nerdgassing Michael: Transcripts are a bit better now. Zen is better now Joke: Can my friend come in?