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):