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Talk Python To Me

A podcast on Python and related technologies


Latest episode:
#505 t-strings in Python (PEP 750)

Python has many string formatting styles which have been added to the language over the years. Early Python used the % operator to injected formatted values into strings. And we have string.format() which offers several powerful styles. Both were verbose and indirect, so f-strings were added in Python 3.6. But these f-strings lacked security features (think little bobby tables) and they manifested as fully-formed strings to runtime code. Today we talk about the next evolution of Python string formatting for advanced use-cases (SQL, HTML, DSLs, etc): t-strings. We have Paul Everitt, David Peck, and Jim Baker on the show to introduce this upcoming new language feature.
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Jim Baker
Jim Baker
David Peck
David Peck
Paul Everitt
Paul Everitt

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Upcoming episodes

Panelists
Panelists
(up next)
ty: Astral's New Type Checker (Formerly Red-Knot)

The folks over at Astral have made some big-time impacts in the Python space with uv and ruff. They are back with another amazing project named ty. You may have known it as Red-Knot. But it's coming up on release time for the first version and with the release it comes with a new official name: ty. We have Charlie Marsh and Carl Meyer on the show to tell us all about this new project.

Sydney Runkle
Sydney Runkle
(and then)
Agentic AI Workflows with LangGraph

If you want to leverage the power of LLMs in your Python apps, you would be wise to consider an agentic framework. Agentic empowers the LLMs to use tools and take further action based on what it has learned at that point. And frameworks provide all the necessary building blocks to weave these into your apps with features like long-term memory and durable resumability. I'm excited to have Sydney Runkle back on the podcast to dive into building Python apps with LangChain and LangGraph.

Glyph
Glyph
(finally)
Program Your Own Computer with Python

If you've heard the phrase "Automate the boring things" for Python, this episode starts with that idea and takes it to another level. We have Glyph back on the podcast to talk about "Programming YOUR computer with Python." We dive into a bunch of tools and frameworks and especially spend some time on integrating with existing platform APIs (e.g. macOS's BrowserKit and Window's COM APIs) to build desktop apps in Python that make you happier and more productive. Let's dive in!

What listeners think

Best thing ever for a commuting Pythonist
This podcast is a godsend. I have long commutes everyday and I always want to make the most out of my commutes. Talk Python podcast is the best product that serves my needs. I get to learn new technologies and keeping updated with the Python ecosystem every time listening to it. Great podcast! Keep it up!
Burke Squires
Best Python podcast!
Thank you Michael - listen to each show - your professional editing and style is something a lot of podcasts should emulate.
Mark Hurley
One of the most interesting topical Python podcasts
This podcast has been covering Python related topics for years and is well loved within in Python community, which helps to get the guests that write the software you are using (or do important things in the Python world). It’s well presented and has a consistent length, which is nice if you don’t enjoy multi hour podcasts. Every episode is single topic, make sure to check the back log to see which episodes interest you. For a more general overview also check out Michael's other podcasts Python Bytes, where he quickly covers what’s new around Python.
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Michael Kennedy
Your host
Michael Kennedy

More about Talk Python to Me

Talk Python to Me is a weekly podcast hosted by Michael Kennedy. The show covers a wide array of Python topics as well as many related topics.

The format is a casual 1-hour conversation with industry experts.

Have feedback for the show? Send it to contact@talkpython.fm. We'd love to hear from you.

Suggest a show or guest

We are always on the look out for exciting topics to bring to you on Talk Python To Me. We could use your help!

Do you have a great idea for a show? Do know a dynamic Python personality who we should be speaking to? Send us an email!


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