Talk Python To Me Podcast Por Michael Kennedy arte de portada

Talk Python To Me

Talk Python To Me

De: Michael Kennedy
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Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.Copyright 2015-2026
Episodios
  • #545: OWASP Top 10 (2025 List) for Python Devs

    #545: OWASP Top 10 (2025 List) for Python Devs
    Apr 16 2026
    The OWASP Top 10 just got a fresh update, and there are some big changes: supply chain attacks, exceptional condition handling, and more. Tanya Janca is back on Talk Python to walk us through every single one of them. And we're not just talking theory, we're going to turn Claude Code loose on a real open source project and see what it finds. Let's do it. Episode sponsors Temporal Talk Python Courses Links from the show DevSec Station Podcast: www.devsecstation.com SheHacksPurple Newsletter: newsletter.shehackspurple.ca owasp.org: owasp.org owasp.org/Top10/2025: owasp.org from here: github.com Kinto: github.com A01:2025 - Broken Access Control: owasp.org A02:2025 - SecuA02 Security Misconfiguration: owasp.org ASP.NET: ASP.NET A03:2025 - Software Supply Chain Failures: owasp.org A04:2025 - Cryptographic Failures: owasp.org A05:2025 - Injection: owasp.org A06:2025 - Insecure Design: owasp.org A07:2025 - Authentication Failures: owasp.org A08:2025 - Software or Data Integrity Failures: owasp.org A09:2025 - Security Logging and Alerting Failures: owasp.org A10 Mishandling of Exceptional Conditions: owasp.org https://github.com/KeygraphHQ/shannon: github.com anthropic.com/news/mozilla-firefox-security: www.anthropic.com generalpurpose.com/the-distillation/claude-mythos-what-it-means-for-your-business: www.generalpurpose.com Python Example Concepts: blobs.talkpython.fm Watch this episode on YouTube: youtube.com Episode #545 deep-dive: talkpython.fm/545 Episode transcripts: talkpython.fm Theme Song: Developer Rap 🥁 Served in a Flask 🎸: talkpython.fm/flasksong ---== Don't be a stranger ==--- YouTube: youtube.com/@talkpython Bluesky: @talkpython.fm Mastodon: @talkpython@fosstodon.org X.com: @talkpython Michael on Bluesky: @mkennedy.codes Michael on Mastodon: @mkennedy@fosstodon.org Michael on X.com: @mkennedy
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    1 h y 6 m
  • #544: Wheel Next + Packaging PEPs

    #544: Wheel Next + Packaging PEPs
    Apr 10 2026
    When you pip install a package with compiled code, the wheel you get is built for CPU features from 2009. Want newer optimizations like AVX2? Your installer has no way to ask for them. GPU support? You're on your own configuring special index URLs. The result is fat binaries, nearly gigabyte-sized wheels, and install pages that read like puzzle books. A coalition from NVIDIA, Astral, and QuantSight has been working on Wheel Next: A set of PEPs that let packages declare what hardware they need and let installers like uv pick the right build automatically. Just uv pip install torch and it works. I sit down with Jonathan Dekhtiar from NVIDIA, Ralf Gommers from QuantSight and the NumPy and SciPy teams, and Charlie Marsh, founder of Astral and creator of uv, to dig into all of it. Episode sponsors Sentry Error Monitoring, Code talkpython26 Temporal Talk Python Courses Links from the show Guests Charlie Marsh: github.com Ralf Gommers: github.com Jonathan Dekhtiar: github.com CPU dispatcher: numpy.org build options: numpy.org Red Hat RHEL: www.redhat.com Red Hat RHEL AI: www.redhat.com RedHats presentation: wheelnext.dev CUDA release: developer.nvidia.com requires a PEP: discuss.python.org WheelNext: wheelnext.dev Github repo: github.com PEP 817: peps.python.org PEP 825: discuss.python.org uv: docs.astral.sh A variant-enabled build of uv: astral.sh pyx: astral.sh pypackaging-native: pypackaging-native.github.io PEP 784: peps.python.org Watch this episode on YouTube: youtube.com Episode #544 deep-dive: talkpython.fm/544 Episode transcripts: talkpython.fm Theme Song: Developer Rap 🥁 Served in a Flask 🎸: talkpython.fm/flasksong ---== Don't be a stranger ==--- YouTube: youtube.com/@talkpython Bluesky: @talkpython.fm Mastodon: @talkpython@fosstodon.org X.com: @talkpython Michael on Bluesky: @mkennedy.codes Michael on Mastodon: @mkennedy@fosstodon.org Michael on X.com: @mkennedy
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    1 h y 11 m
  • #543: Deep Agents: LangChain's SDK for Agents That Plan and Delegate

    #543: Deep Agents: LangChain's SDK for Agents That Plan and Delegate
    Apr 1 2026
    When you type a question into ChatGPT, the model only has what you typed to work with. But tools like Claude Code can plan, iterate, test, and recover from mistakes. They work more like we do. The difference is the agent harness: Planning tools, file system access, sub-agents, and carefully crafted system prompts that turn a raw LLM into something genuinely capable. Sydney Runkle is back on Talk Python representing LangChain and their new open source library, Deep Agents: A framework for building your own deep agents with plain Python functions, middleware hooks, and MCP support. This is how the magic works under the hood. Episode sponsors Sentry Error Monitoring, Code talkpython26 Temporal Talk Python Courses Links from the show Guest Sydney Runkle: github.com Claude Code uses: x.com Deep Research: openai.com Manus: manus.im Blog post announcement: blog.langchain.com Claudes system prompt: github.com sub agents: docs.anthropic.com the quick start: docs.langchain.com CLIs: github.com Talk Python's CLI: talkpython.fm custom tools: docs.langchain.com DeepAgents Examples: github.com Custom Middleware: docs.langchain.com Built in middleware: docs.langchain.com Improving Deep Agents with harness engineering: blog.langchain.com Prebuilt middleware: docs.langchain.com Watch this episode on YouTube: youtube.com Episode #543 deep-dive: talkpython.fm/543 Episode transcripts: talkpython.fm Theme Song: Developer Rap 🥁 Served in a Flask 🎸: talkpython.fm/flasksong ---== Don't be a stranger ==--- YouTube: youtube.com/@talkpython Bluesky: @talkpython.fm Mastodon: @talkpython@fosstodon.org X.com: @talkpython Michael on Bluesky: @mkennedy.codes Michael on Mastodon: @mkennedy@fosstodon.org Michael on X.com: @mkennedy
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    1 h y 4 m
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