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llms.txt Content

# Talk Python to Me > Talk Python to Me is a weekly podcast hosted by Michael Kennedy, featuring in-depth conversations with Python developers, library authors, and community leaders. The podcast covers web development, data science, DevOps, machine learning, and the broader Python ecosystem. ## About the Podcast **Talk Python to Me is the #1 Python podcast** and has held that position for over a decade. Since launching in March 2015, the show has become the definitive source for Python developers seeking to deepen their knowledge and stay current with the ever-evolving Python ecosystem. **Key Accolades:** - **#1 Python Podcast** for 10+ consecutive years - **#2 Software Development Podcast** worldwide - **4.8/5 star rating** on Apple Podcasts with nearly 600 reviews - **543 episodes** published and counting - **538+ expert guests** interviewed - Running continuously since **March 2015** (11+ years) The show features thoughtful, technical interviews averaging 60+ minutes, going deep on topics that matter to Python developers. Episodes include AI-generated "Deep Dive" analyses with key takeaways, definitions, and learning resources. ## Current Stats - **Total Episodes**: 543 - **Total Guests**: 538+ - **Latest Episode**: #544 - Wheel Next + Packaging PEPs - **Last Published**: 2026-04-10 - **Years Running**: 11+ ## Key Information - **MCP Server**: AI assistants can query podcast data via the Model Context Protocol at `https://talkpython.fm/api/mcp` - **CLI Tool**: Terminal access to episodes, transcripts, guests, and courses - install with `uv tool install talk-python-cli` - **Search API**: Simple JSON search at `https://search.talkpython.fm/api/search?q={query}` - **Transcripts**: WebVTT transcripts available by appending `.vtt` to any episode URL - **Episode Deep Dives**: Each episode includes a detailed AI-generated analysis with key takeaways, definitions, and learning resources ## API & Tools - [MCP Documentation](https://talkpython.fm/api/mcp/docs):