エピソード

  • Django Developers Survey Results & Reproducible Python Builds

    Django Developers Survey Results & Reproducible Python Builds
    2026/09/11
    What are the latest trends uncovered in the 2026 Django Developers Survey? How are Django users employing LLMs in their development process? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
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    47 分
  • Performance Engineering: Profiling and Making Apps Fast by Default

    Performance Engineering: Profiling and Making Apps Fast by Default
    2026/09/04
    How do you plan for the performance of your Python applications? What does a performance budget entail, and where should you spend your resources? This week on the show, we speak with Den Odell about his new book "Fast by Default: Practical Performance Engineering."
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    1 時間 17 分
  • Exploring Complex Systems & Maintainable Data Science Pipelines

    Exploring Complex Systems & Maintainable Data Science Pipelines
    2026/08/28
    What are the key characteristics of complex systems, and what are practical patterns for tackling complex coding problems? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
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    41 分
  • Navigating Silent Failures in AI: Strategies for Effective Oversight

    Navigating Silent Failures in AI: Strategies for Effective Oversight
    2026/08/21
    Why do AI systems silently fail? How can you set up a system that produces results while also reviewing and validating the work? This week on the show, Calvin Hendryx-Parker returns to discuss his recent talk "Orchestrate Agentic AI: Context, Checklists, and No-Miss Reviews."
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    1 時間 10 分
  • Improving NumPy Performance on Free-Threaded Python

    Improving NumPy Performance on Free-Threaded Python
    2026/08/14
    What bottlenecks were preventing NumPy from scaling on free-threaded Python? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
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    46 分
  • Programmatically Developing LLM Prompts With DSPy

    Programmatically Developing LLM Prompts With DSPy
    2026/08/07
    How can you move from manually writing prompts for an LLM application toward defining them programmatically? This week on the show, Brett Kennedy returns to discuss his new book "Building LLM Applications with DSPy."
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    1 時間 6 分
  • Should You Understand Your Entire Python Codebase?

    Should You Understand Your Entire Python Codebase?
    2026/07/31
    Should you understand the entirety of your codebase? How familiar are you with Python's built-in functions? Christopher Trudeau is back on the show this week with another batch of PyCoder's Weekly articles and projects.
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    57 分
  • Configuring a Versatile LLM Harness & Scraping the Web With Scrapy

    Configuring a Versatile LLM Harness & Scraping the Web With Scrapy
    2026/07/24
    Which is more important, the model or the "harness" around an LLM? What are ways to assemble an efficient agentic developer workflow? This week on the show, Ayan Pahwa joins us to discuss harnessing, web scraping, and self-hosting Python applications.
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    58 分