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Talk Python To Me

Michael Kennedy
Python
Data Science
Machine Learning
Django
Fastapi
Pydantic
Web Development
Large Language Models
Pandas
Open Source
Flask
Rust
Marimo
Cpython
Jupyter Notebooks
Natural Language Processing
Cloud Computing
Data Analysis
Open Source Software
Programming

Talk Python to Me is a weekly podcast for Python developers, data scientists, and AI builders, hosted by developer and entrepreneur Michael Kennedy. We dive deep into the packages, tools, and people shaping Python, from web development and data science to AI and LLMs. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from its leaders. And if you've been Pyt... more

PublishesWeeklyEpisodes565Founded12 years ago
Number of ListenersCategory
Technology

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Artwork for Talk Python To Me

Latest Episodes

Which of your Python tools would you still pick if you started fresh today? For a long time, the answer was easy. The stack felt settled. AI has reopened almost every one of those choices. Some tools got faster. Others got replaced outright. On this ... more

YouTube

Do you know what's actually slow in your Python app? Or are you guessing? Until now, profiling Python meant a tracing profiler that made your code 2 to 3 times slower. Or a third-party tool that broke with every new release. Python 3.15 fixes that. I... more

YouTube

Every ship in EVE Online eventually undocks and leaves the station. This time, it's the whole game. EVE has run on Python 2 since it launched in 2003, all 2.4 million lines of it, on a custom Stackless interpreter that stopped at 3.8 and was archived... more

YouTube

Lint the entire CPython code base from scratch. It takes 0.3 seconds. Three blinks of an eye.

That is ruff, and it is written in Rust. So are Pydantic, Polars, uv, and Granian. Rust shows up in Python three ways: tools that happen to be Rust, lib... more

YouTube

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Recent Guests

Pablo Galindo Salgado
CPython core developer and steering council member
CPython Core Development, Bloomberg (past)
Episode: #565: Tachyon, Python 3.15's Built-in Sampling Profiler
Laszlo Kiskoller
Python infrastructure engineer
Bloomberg (past) and Hudson River Trading
Episode: #565: Tachyon, Python 3.15's Built-in Sampling Profiler
Kristinn Seupersson
Director of gameplay engineering for eFrontier
eFrontier / EVE Frontier
Episode: #564: EVE Online Departs for Python 3
Jamie Bannister
Engineer on EVE for 16 years, migration project lead
Fenris Creations / EVE Online team
Episode: #564: EVE Online Departs for Python 3
Thomas Delling
Principal programmer, led initial Python 3 transition for Carbon
Fenris Creations / EVE Online team
Episode: #564: EVE Online Departs for Python 3
Christopher Trudeau
Rust expert and course author
Episode: #563: Getting Started with Rust as Python Devs
Pedro Holanda
Lead Duck Lake developer; co-creator background in DuckDB at CWI
DuckDB team at CWI
Episode: #562: DuckLake: The Lakehouse That's Just SQL and Parquet
Guillermo Sanchez-Doinas
Developer/engineer contributing to Duck Lake and Quack
Duck Lake team
Episode: #562: DuckLake: The Lakehouse That's Just SQL and Parquet
Giovanni Bariliari
Creator of Tonio, Tonio runtime lead
Tonio project
Episode: #561: TonIO, a Multi-threaded Async Runtime for Python

Host

Michael Kennedy
Host of Talk Python To Me; long-time Python developer and entrepreneur

Reviews

4.8 out of 5 stars from 1.2k ratings
  • It helps me to make my own wood đŸȘ” counter for free

    I am a beaver and love free wood counter so I don’t borrow Tim’s as he charges me a 1% wood fee “so expensive” wood expert Jim beaver says

    Apple Podcasts
    5
    BOB (brown, old beaver)đŸŠ«
    Australia2 months ago
  • Great to hear from experts

    I love how Michael gets different experts on the show to share their expertise. In a world where I don’t always trust what Google AI overview is telling me it’s fantastic to hear from real humans.

    Apple Podcasts
    5
    Adam_____7
    Australia2 months ago
  • Love the show hate the intro

    I love the show and the content. The new intro, however, makes me want to throw my phone out the window every time I hear it. It literally makes me want to stop listening to the podcast episode.

    Apple Podcasts
    4
    Agandgold
    United Statesa year ago
  • Eh

    Dropped this podcast after the Temporal episode, which seemed to be mostly complaining about Twitter and people who self-host, rather than pay for the guest’s employer’s managed service. More informative talks, less poorly disguised sales pitches couched in a lot of strange bitterness, please.

    Apple Podcasts
    2
    Thank T.
    United Statesa year ago
  • leftist/democrat morons

    He has no problem with Twitter and all fascist commie democrats’ activist tech political censorship, lying, election interference, etc, but Twitter bought by Elon Musk, OH NO! Absolute dishonesty and delusion to claim you like mastodon for open ness, when all of you were fine with fascist/commie democrat twitter and all tech bias. Very transparent. Very dumb.

    Apple Podcasts
    1
    MnReview
    United Statesa year ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Great mix of guests from security to tooling.
High-quality production and thoughtful topics.
Listener-friendly explanations make complex topics accessible.
Consistently valuable for staying up-to-date in Python ecosystem.
Excellent interviews with deep Python expertise.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#142
United States/Technology
Apple Podcasts
#154
United Kingdom/Technology
Apple Podcasts
#50
India/Technology
Apple Podcasts
#86
Sweden/Technology
Apple Podcasts
#99
Ireland/Technology
Apple Podcasts
#121
China/Technology

Talking Points

Recent interactions between the hosts and their guests.

#563: Getting Started with Rust as Python Devs
Q: What are the main ways Rust intersects with Python today, and where do you see the biggest wins for Python developers?
Three modes: (1) Rust-powered tools that Python uses indirectly (like Ruff for linting); (2) Rust extensions loaded into Python to accelerate critical paths (with PyO3 and maturin); and (3) embedding Python inside a Rust program for performance-critical servers. The biggest wins are substantial speedups for data processing and heavy computation, improved memory safety in critical libraries, and a packaging story that lets Python users access high-performance crates with minimal changes to their Python code.
#563: Getting Started with Rust as Python Devs
Q: Now, I want to start by talking about Rust. Just some examples before we dive into how is it compared to Python. We've touched on a little bit of that, but there's a bunch of differences and so on. What are the big picture differences for a Python developer?
We discussed how Rust is a compiled, low-level language with strict memory management, which trades some upfront friction for stronger guarantees and faster runtime. We covered the borrow checker, compile-time checks, and how Python's dynamic, garbage-collected model contrasts with Rust's explicit ownership and memory safety. We also touched on how Python can leverage Rust via PyO3 and how tooling like cargo and crates.io shape Rust development compared to Python's pip and PyPI.
#554: Trustworthy AI in Healthcare and Longevity
Q: Okay, and how did you get into the AI side of things?
The guest explains the shift from data analysis to AI-enabled execution, driven by the need to prepare for roles that AI wouldn't replace, especially after witnessing rapid model advancement during the COVID era and the fear of layoffs.
#552: Astral joins OpenAI
Q: What was OpenAI primarily interested in regarding Charlie's tooling?
OpenAI was interested in a combination of Python tooling and Rust work, with a focus on accelerating OpenAI as a user of the tools, and rethinking how the tools fit into a broader platform that can support agents and human developers alike.
#546: Self hosting apps for Python people
Q: What role does Tailscale play in self-hosted infrastructure?
Tailscale provides zero-port, end-to-end connectivity by creating a secure mesh network, enabling direct access to home servers from any location without exposing ports publicly.

Audience Metrics

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Frequently Asked Questions About Talk Python To Me

What is Talk Python To Me about and what kind of topics does it cover?

A tech-focused podcast that dives deep into Python tooling, ecosystems, and real-world engineering practices. Episodes frequently center on open-source projects, security, AI-assisted development, cloud infrastructure, and software architecture, with guests ranging from maintainers and founders to researchers and practitioners. Listeners are likely software engineers, data scientists, and tech leads who want concrete takeaways, best practices, and context from practitioners actively shaping the Python and broader developer landscape. A notable strength is the steady stream of high-signal guests who are hands-on contributors to widely used tools and frameworks, offering practical insights applicable to day-to-day work and strategic tech deci... more

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Which podcasts are similar to Talk Python To Me?

These podcasts share a similar audience with Talk Python To Me:

1. Python Bytes
2. The Real Python Podcast
3. Software Engineering Daily
4. The Stack Overflow Podcast
5. Software Engineering Radio - the podcast for professional software developers

How many episodes of Talk Python To Me are there?

Talk Python To Me launched 12 years ago and published 565 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Talk Python To Me?

Recent guests on Talk Python To Me include:

1. Pablo Galindo Salgado
2. Laszlo Kiskoller
3. Kristinn Seupersson
4. Jamie Bannister
5. Thomas Delling
6. Christopher Trudeau
7. Pedro Holanda
8. Guillermo Sanchez-Doinas

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