بهترین پادکست های Talk Python (2025)

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

15h ago1:09:32

1:09:32

Today we’re turning tiny tips into big wins. Khuyen Tran, creator of CodeCut.ai, has shipped hundreds of bite-size Python and data science snippets across four years. We dig into open-source tools you can use right now, cleaner workflows, and why notebooks and scripts don’t have to be enemies. If you want faster insights with fewer yak-shaves, this…

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

8d 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…

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

14d 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 …

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

19d 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 …

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#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…

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#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,…

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#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…

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#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…

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#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…

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#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…

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#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…

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#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

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_…

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

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

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

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

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

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