بهترین پادکست های Talk Python (2025)

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

15d 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

22d 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

25d 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

1M 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

2M 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

2M 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

2M 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

3M 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…

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

3M 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

3M 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

3M 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

3M 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

4M 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…

پادکست هایی که ارزش شنیدن دارند

پادکست های Talk Python

پادکست هایی که ارزش شنیدن دارند

1
Talk Python To Me

Michael Kennedy

1
Talk Python To Me (SoundCloud)

Michael Kennedy

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

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

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

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

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

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

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

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

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

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

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

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

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

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