Where to Find Wes McKinney's Talks, Podcasts, Book, and Investing Work
Updated
Wes McKinney's personal site, wesmckinney.com, is the central entry point for his talks and podcasts, his book Python for Data Analysis, and his investing work through Composed Ventures. The page lists recent media with transcript and video links, offers a "View all talks & podcasts" link for the full archive, points to a free online edition of the book alongside a paid copy, and names Composed Ventures as the vehicle for his angel investing and advisory work.
Talks and Podcasts
The site's "Recent Talks & Media" section lists episodes with a date, format, location, and links to the transcript and video where available. The most recent entries at the time of the page snapshot:
| Episode | Show / Venue | Date & Format | Topic |
|---|---|---|---|
| #126 | Data Engineering Central | Remote, Jul 2026 | The Creator of Pandas on AI, Apache Arrow, and the Future of Software Engineering |
| #125 | Show Us Your Agent Skills (Vanishing Gradients / PyMC Labs) | Remote, May 2026 | Agent skills |
| #124 | The Test Set (Posit), co-host | New York, NY, Apr 2026 | Benn Stancil on fads in tech |
| #123 | Joe Reis Podcast | Remote, Apr 2026 | AI agents and his AI coding setup |
| #122 | The Test Set (Posit), co-host | New York, NY, Mar 2026 | A VP doing a rogue analysis in Cursor |
| #121 | The Test Set (Posit), co-host | Remote, Mar 2026 | Agents and data work |
Each entry links to a transcript and, in most cases, a video. For anything older than this list, use the "View all talks & podcasts →" link at the bottom of the section, which leads to the complete archive.
Two practical notes from the listing: several recent episodes are co-hosted on Posit's The Test Set, so that show is a recurring source if you want more of his commentary, and the topics cluster around AI agents, Apache Arrow, and the craft of software engineering rather than pandas tutorials.
The Book: Python for Data Analysis
The site states that McKinney wrote Python for Data Analysis and offers two routes:
- Read for free — a link on the page to the free online edition.
- Buy a copy — a purchase link, described on the page as a way to support the author.
If your goal is to learn pandas from its creator, start with the free edition; the paid copy is the same material with the option to support the work.
Investing and Advisory: Composed Ventures
McKinney describes himself as an active angel investor and advisor through his fund, Composed Ventures. The site does not publish a portfolio list, investment criteria, or a pitch/contact process, so treat the page as a pointer to the fund's existence rather than a submission channel. If you are looking for investment terms or a way to reach him about a company, the site itself does not provide that detail.
Related Work You May Actually Be Looking For
Because visitors often arrive at this page for reasons other than media, it helps to know what else it covers:
- Kenn Software — his principal role as Founder; current products include agentsview (session search and token analytics across coding agents), roborev (continuous background code review), msgvault (archiving and searching email and chat), Kenn Forge (maintainer triage), and Ghosthub (a native macOS terminal for tmux fleets).
- Posit — Principal Architect contributing to Python and AI strategy.
- Prior ventures — founder of Voltron Data, Ursa Labs (with Posit), and DataPad.
- Apache Software Foundation — he is a Member of the ASF.
Quick Routing Guide
| You want… | Go to |
|---|---|
| A specific recent interview | The "Recent Talks & Media" list and its transcript/video links |
| Older episodes | "View all talks & podcasts →" |
| The pandas book | The free-read link or the purchase link in the book paragraph |
| His current tools | The Kenn Software product list |
| Investing context | The Composed Ventures mention (no portfolio or contact details published) |
One caveat: the site is a personal homepage, so dates and episode numbers reflect when the page was last updated. If a link to a transcript or video fails, the show's own site (for example, Posit's The Test Set or Data Engineering Central) is the reliable fallback.