Beste Talk Python Podcasts (2025)

1
#522: Data Sci Tips and Tricks from CodeCut.ai 1:09:32

2d ago1:09:32

1:09:32

Von Michael Kennedy (@mkennedy)

1
#521: Red Teaming LLMs and GenAI with PyRIT 1:02:40

9d ago1:02:40

1:02:40

English is now an API. Our apps read untrusted text; they follow instructions hidden in plain sight, and sometimes they turn that text into action. If you connect a model to tools or let it read documents from the wild, you have created a brand new attack surface. In this episode, we will make that concrete. We will talk about the attacks teams are…

1
#520: pyx - the other side of the uv coin (announcing pyx) 1:00:11

15d ago1:00:11

1:00:11

A couple years ago, Charlie Marsh lit a fire under Python tooling with Ruff and then uv. Today he’s back with something on the other side of that coin: pyx. Pyx isn’t a PyPI replacement. Think server, not just index. It mirrors PyPI, plays fine with pip or uv, and aims to make installs fast and predictable by letting a smart client talk to a smart …

1
#519: Data Science Cloud Lessons at Scale 1:02:56

20d ago1:02:56

1:02:56

Today on Talk Python: What really happens when your data work outgrows your laptop. Matthew Rocklin, creator of Dask and cofounder of Coiled, and Nat Tabris a staff software engineer at Coiled join me to unpack the messy truth of cloud-scale Python. During the episode we actually spin up a 1,000 core cluster from a notebook, twice! We also discuss …

1
#518: Celebrating Django's 20th Birthday With Its Creators 1:08:13

1M ago1:08:13

1:08:13

Twenty years after a scrappy newsroom team hacked together a framework to ship stories fast, Django remains the Python web framework that ships real apps, responsibly. In this anniversary roundtable with its creators and long-time stewards: Simon Willison, Adrian Holovaty, Will Vincent, Jeff Triplett, and Thibaud Colas, we trace the path from the L…

1
#517: Agentic Al Programming with Python 1:17:01

2M ago1:17:01

1:17:01

Agentic AI programming is what happens when coding assistants stop acting like autocomplete and start collaborating on real work. In this episode, we cut through the hype and incentives to define “agentic,” then get hands-on with how tools like Cursor, Claude Code, and LangChain actually behave inside an established codebase. Our guest, Matt Makai,…

1
#516: Accelerating Python Data Science at NVIDIA 1:05:42

2M ago1:05:42

1:05:42

Python’s data stack is getting a serious GPU turbo boost. In this episode, Ben Zaitlen from NVIDIA joins us to unpack RAPIDS, the open source toolkit that lets pandas, scikit-learn, Spark, Polars, and even NetworkX execute on GPUs. We trace the project’s origin and why NVIDIA built it in the open, then dig into the pieces that matter in practice: c…

1
#515: Durable Python Execution with Temporal 1:10:54

2M ago1:10:54

1:10:54

What if your code was crash-proof? That's the value prop for a framework called Temporal. Temporal is a durable execution platform that enables developers to build scalable applications without sacrificing productivity or reliability. The Temporal server executes units of application logic called Workflows in a resilient manner that automatically h…

1
#514: Python Language Summit 2025 1:13:00

3M ago1:13:00

1:13:00

Every year the core developers of Python convene in person to focus on high priority topics for CPython and beyond. This year they met at PyCon US 2025. Those meetings are closed door to keep focused and productive. But we're lucky that Seth Michael Larson was in attendance and wrote up each topic presented and the reactions and feedback to each. W…

1
#513: Stories from Python History 1:08:36

3M ago1:08:36

1:08:36

Why do people listen to this podcast? Sure, they're looking for technical explorations of new libraries and ideas. But often it's to hear the story behind them. If that speaks to you, then I have the perfect episode lined up. I have Barry Warsaw, Paul Everitt, Carol Willing, and Brett Cannon all back on the show to share stories from the history of…

1
#512: Building a JIT Compiler for CPython 1:08:18

3M ago1:08:18

1:08:18

Do you like to dive into the details and intricacies of how Python executes and how we can optimize it? Well, do I have an episode for you. We welcome back Brandt Bucher to give us an update on the upcoming JIT compiler for Python and why it differs from JITs for languages such as C# and Java. Episode sponsors Posit Talk Python Courses Links from t…

1
#511: From Notebooks to Production Data Science Systems 54:15

4M ago54:15

54:15

If you're doing data science and have mostly spent your time doing exploratory or just local development, this could be the episode for you. We are joined by Catherine Nelson to discuss techniques and tools to move your data science game from local notebooks to full-on production workflows. Episode sponsors Agntcy Sentry Error Monitoring, Code TALK…

1
#510: 10 Polars Tools and Techniques To Level Up Your Data Science 1:02:04

4M ago1:02:04

1:02:04

Are you using Polars for your data science work? Maybe you've been sticking with the tried-and-true Pandas? There are many benefits to Polars directly of course. But you might not be aware of all the excellent tools and libraries that make Polars even better. Examples include Patito which combines Pydantic and Polars for data validation and polars_…

1
#509: GPU Programming in Pure Python 57:29

4M ago57:29

57:29

If you're looking to leverage the insane power of modern GPUs for data science and ML, you might think you'll need to use some low-level programming language such as C++. But the folks over at NVIDIA have been hard at work building Python SDKs which provide nearly native level of performance when doing Pythonic GPU programming. Bryce Adelstein Lelb…

1
#508: Program Your Own Computer with Python 1:11:56

4M ago1:11:56

1:11:56

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. ma…

1
#507: Agentic AI Workflows with LangGraph 1:03:59

4M ago1:03:59

1:03:59

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 d…

1
#506: ty: Astral's New Type Checker (Formerly Red-Knot) 1:04:19

5M ago1:04:19

1:04:19

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 t…

1
#505: t-strings in Python (PEP 750) 1:11:59

5M ago1:11:59

1:11:59

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 featur…

1
#504: Developer Trends in 2025 1:09:53

5M ago1:09:53

1:09:53

What trends and technologies should you be paying attention to today? Are there hot new database servers you should check out? Or will that just be a flash in the pan? I love these forward looking episodes and this one is super fun. I've put together an amazing panel: Gina Häußge, Ines Montani, Richard Campbell, and Calvin Hendryx-Parker. We dive i…

1
#503: The PyArrow Revolution 1:08:36

5M ago1:08:36

1:08:36

Pandas is at a the core of virtually all data science done in Python, that is virtually all data science. Since it's beginning, Pandas has been based upon numpy. But changes are afoot to update those internals and you can now optionally use PyArrow. PyArrow comes with a ton of benefits including it's columnar format which makes answering analytical…

1
#502: Django Ledger: Accounting with Python 1:03:38

6M ago1:03:38

1:03:38

Do you or your company need accounting software? Well, there are plenty of SaaS products out there that you can give your data to. but maybe you also really like Django and would rather have a foundation to build your own accounting system exactly as you need for your company or your product. On this episode, we're diving into Django Ledger, create…

1
#501: Marimo - Reactive Notebooks for Python 1:00:35

6M ago1:00:35

1:00:35

Von Michael Kennedy (@mkennedy)

1
#500: Django Simple Deploy and other DevOps Things 57:34

6M ago57:34

57:34

See the full show notes for this episode on the website at talkpython.fm/500Von Michael Kennedy (@mkennedy)

1
#499: BeeWare and the State of Python on Mobile 1:07:47

6M ago1:07:47

1:07:47

See the full show notes for this episode on the website at talkpython.fm/499Von Michael Kennedy (@mkennedy)

1
#498: Algorithms for high performance terminal apps 1:08:16

7M ago1:08:16

1:08:16

See the full show notes for this episode on the website at talkpython.fm/498Von Michael Kennedy (@mkennedy)

1
#497: Outlier Detection with Python 55:22

7M ago55:22

55:22

See the full show notes for this episode on the website at talkpython.fm/497Von Michael Kennedy (@mkennedy)

1
#496: Scaf: Complete blueprint for new Python Kubernetes projects 1:19:34

7M ago1:19:34

1:19:34

See the full show notes for this episode on the website at talkpython.fm/496Von Michael Kennedy (@mkennedy)

1
#495: OSMnx: Python and OpenStreetMap 1:01:55

8M ago1:01:55

1:01:55

See the full show notes for this episode on the website at talkpython.fm/495Von Michael Kennedy (@mkennedy)

1
#494: Update on Flet: Python + Flutter UIs 1:00:23

8M ago1:00:23

1:00:23

See the full show notes for this episode on the website at talkpython.fm/494Von Michael Kennedy (@mkennedy)

1
#493: Quarto: Open-source technical publishing 1:05:01

8M ago1:05:01

1:05:01

See the full show notes for this episode on the website at talkpython.fm/493Von Michael Kennedy (@mkennedy)

1
#492: Great Tables 1:04:21

8M ago1:04:21

1:04:21

See the full show notes for this episode on the website at talkpython.fm/492Von Michael Kennedy (@mkennedy)

1
#491: DuckDB and Python: Ducks and Snakes living together 1:02:03

10M ago1:02:03

1:02:03

See the full show notes for this episode on the website at talkpython.fm/491Von Michael Kennedy (@mkennedy)

1
#490: Django Ninja 1:04:32

10M ago1:04:32

1:04:32

See the full show notes for this episode on the website at talkpython.fm/490Von Michael Kennedy (@mkennedy)

1
#489: Anaconda Toolbox for Excel and more with Peter Wang 1:09:09

10M ago1:09:09

1:09:09

See the full show notes for this episode on the website at talkpython.fm/489Von Michael Kennedy (@mkennedy)

1
#488: Multimodal data with LanceDB 58:19

10M ago58:19

58:19

See the full show notes for this episode on the website at talkpython.fm/488Von Michael Kennedy (@mkennedy)

1
#487: Building Rust Extensions for Python 1:02:24

10M ago1:02:24

1:02:24

See the full show notes for this episode on the website at talkpython.fm/487Von Michael Kennedy (@mkennedy)

1
#486: CSnakes: Embed Python code in .NET 1:02:45

11M ago1:02:45

1:02:45

See the full show notes for this episode on the website at talkpython.fm/486Von Michael Kennedy (@mkennedy)

1
#485: Secure coding for Python with SheHacksPurple 1:09:28

11M ago1:09:28

1:09:28

See the full show notes for this episode on the website at talkpython.fm/485Von Michael Kennedy (@mkennedy)

1
#484: From React to a Django+HTMX based stack 57:44

11M ago57:44

57:44

See the full show notes for this episode on the website at talkpython.fm/484Von Michael Kennedy (@mkennedy)

1
#483: Reflex Framework: Frontend, Backend, Pure Python 1:03:05

11M ago1:03:05

1:03:05

See the full show notes for this episode on the website at talkpython.fm/483Von Michael Kennedy (@mkennedy)

1
#482: Pre-commit Hooks for Python Devs 1:10:20

12M ago1:10:20

1:10:20

See the full show notes for this episode on the website at talkpython.fm/482Von Michael Kennedy (@mkennedy)

1
#481: Python Opinions and Zeitgeist with Hynek 1:03:00

12M ago1:03:00

1:03:00

See the full show notes for this episode on the website at talkpython.fm/481Von Michael Kennedy (@mkennedy)

1
#480: Ahoy, Narwhals are bridging the data science APIs 59:15

12M ago59:15

59:15

See the full show notes for this episode on the website at talkpython.fm/480Von Michael Kennedy (@mkennedy)

1
#479: Designing Effective Load Tests for Your Python App 59:06

1y ago59:06

59:06

See the full show notes for this episode on the website at talkpython.fm/479Von Michael Kennedy (@mkennedy)

1
#478: When and how to start coding with kids 54:25

1y ago54:25

54:25

See the full show notes for this episode on the website at talkpython.fm/478Von Michael Kennedy (@mkennedy)

1
#477: Awesome Text Tricks with NLP and spaCy 1:03:47

1y ago1:03:47

1:03:47

See the full show notes for this episode on the website at talkpython.fm/477Von Michael Kennedy (@mkennedy)

1
#476: Unified Python packaging with uv 1:12:59

1y ago1:12:59

1:12:59

See the full show notes for this episode on the website at talkpython.fm/476Von Michael Kennedy (@mkennedy)

1
#475: Python Language Summit 2024 1:01:24

1y ago1:01:24

1:01:24

See the full show notes for this episode on the website at talkpython.fm/475Von Michael Kennedy (@mkennedy)

1
#474: Python Performance for Data Science 1:08:23

1y ago1:08:23

1:08:23

See the full show notes for this episode on the website at talkpython.fm/474Von Michael Kennedy (@mkennedy)

1
#473: Being a developer with ADHD 1:00:32

1y ago1:00:32

1:00:32

See the full show notes for this episode on the website at talkpython.fm/473Von Michael Kennedy (@mkennedy)

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Talk Python Podcasts

Podcasts, die es wert sind, gehört zu werden

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