Best Python Podcasts (2025)

1
Comparing Real-World Python Performance Against Big O 45:01

3h ago45:01

45:01

How does the performance of an algorithm hold up when you put it into a realistic context? Where might Python code defy Big O notation expectations when using a profiler? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects. Christopher shares an article about why real-world performance…

1
#439 That Astral Episode 26:36

5d ago26:36

26:36

Topics covered in this episode: * ty documentation site and uv migration guide* * uv build backend is now stable + other Astral news* * Refactoring long boolean expressions* * fastapi-ml-skeleton* Extras Joke Watch on YouTube About the show Sponsored by Sentry: pythonbytes.fm/sentry Connect with the hosts Michael: @[email protected] / @mkenned…

1
Solving Problems and Saving Time in Chemistry With Python 1:13:10

6d ago1:13:10

1:13:10

What motivates someone to learn how to code as a scientist? How do you harness the excitement of solving problems quickly and make the connection to the benefits of coding in your scientific work? This week on the show, we speak with Ben Lear and Christopher Johnson about their book “Coding For Chemists.” Christopher is an associate professor of ch…

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

10d 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
#512: Building a JIT Compiler for CPython 1:08:18

10d 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
#512: Building a JIT Compiler for CPython 1:08:18

9d 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
#438 Motivation time 33:28

12d ago33:28

33:28

Topics covered in this episode: * Python Cheat Sheets from Trey Hunner* * Automatisch* * mureq-typed* * My CLI World* Extras Joke Watch on YouTube About the show Sponsored by Posit: pythonbytes.fm/connect Connect with the hosts Michael: @[email protected] / @mkennedy.codes (bsky) Brian: @[email protected] / @brianokken.bsky.social Show:…

1
Structuring Python Scripts & Exciting Non-LLM Software Trends 54:07

14d ago54:07

54:07

What goes into crafting an effective Python script? How do you organize your code, manage dependencies with PEP 723, and handle command-line arguments for the best results? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects. We dig into a recent Real Python article about how to struct…

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

17d 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
#511: From Notebooks to Production Data Science Systems 54:15

17d 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
#511: From Notebooks to Production Data Science Systems 54:15

17d 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
#437 Python Language Summit 2025 Highlights 34:28

19d ago34:28

34:28

Topics covered in this episode: * The Python Language Summit 2025* Fixing Python Properties * complexipy* * juvio* Extras Joke Watch on YouTube About the show Sponsored by Posit: pythonbytes.fm/connect Connect with the hosts Michael: @[email protected] / @mkennedy.codes (bsky) Brian: @[email protected] / @brianokken.bsky.social Show: @p…

1
Scaling Python Web Applications With Kubernetes and Karpenter 1:04:47

21d ago1:04:47

1:04:47

What goes into scaling a web application today? What are resources for learning and practicing DevOps skills? This week on the show, Calvin Hendryx-Parker is back to discuss the tools and infrastructure for autoscaling web applications with Kubernetes and Karpenter. Calvin is the co-founder and CTO of Six Feet Up, a Python and AI consultancy. He sh…

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

24d 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
#510: 10 Polars Tools and Techniques To Level Up Your Data Science 1:02:04

24d 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
#510: 10 Polars Tools and Techniques To Level Up Your Data Science 1:02:04

24d 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
#436 Slow tests go last 36:43

26d ago36:43

36:43

Topics covered in this episode: * Free-threaded Python no longer “experimental” as of Python 3.14* typed-ffmpeg pyleak * Optimizing Test Execution: Running live_server Tests Last with pytest* Extras Joke Watch on YouTube About the show Sponsored by PropelAuth: pythonbytes.fm/propelauth66 Connect with the hosts Michael: @[email protected] / @mk…

1
Starting With marimo Notebooks & Python App Config Management 51:41

28d ago51:41

51:41

Looking for a guide on getting started with marimo notebooks? How do you build a reproducible notebook for sharing or create a dashboard with interactive UI elements? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects. We cover a recent Real Python article by Ian Eyre about using nari…

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

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

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

1M 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
#435 Stop with .folders in my ~/ 25:34

1M ago25:34

25:34

Topics covered in this episode: platformdirs poethepoet - “Poe the Poet is a batteries included task runner that works well with poetry or with uv.” Python Pandas Ditches NumPy for Speedier PyArrow pointblank: Data validation made beautiful and powerful Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our cours…

1
Episode 148: PyCon 2025 AI Education Open Space 57:25

1M ago57:25

57:25

In this special episode of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes convene an open space discussion at PyCon US 2025 in Pittsburgh. Surrounded by a diverse group of educators, developers, and learners, they hand the mic to the community to answer two key questions: How are you using AI personally, and how do you see AI shaping …

1
Rodrigo Girão Serrão: Python Training, itertools, and Idioms 1:02:49

1M ago1:02:49

1:02:49

Once you’ve learned the vocabulary and syntax of the Python language, how do you progress into learning the right combinations to put into your code? How can Python’s built-in itertools library enhance your skills? This week on the show, we speak with Rodrigo Girão Serrão about teaching Python through his blog and his passion for the itertools libr…

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

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

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

1M 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

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

1M 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
#434 Most of OpenAI’s tech stack runs on Python 29:01

1M ago29:01

29:01

Topics covered in this episode: Making PyPI’s test suite 81% faster People aren’t talking enough about how most of OpenAI’s tech stack runs on Python PyCon Talks on YouTube Optimizing Python Import Performance Extras Joke Watch on YouTube About the show Sponsored by Digital Ocean: pythonbytes.fm/digitalocean-gen-ai Use code DO4BYTES and get $200 in…

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

1M 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
Python Thread Safety & Managing Projects With uv 34:48

1M ago34:48

34:48

What are the ways you can manage multithreaded code in Python? What synchronization techniques are available within Python’s threading module? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects. Christopher discusses his recent Real Python video course about thread safety. The course …

1
#433 Dev in the Arena 28:40

2M ago28:40

28:40

Topics covered in this episode: git-flight-rules Uravelling t-strings neohtop Introducing Pyrefly: A new type checker and IDE experience for Python Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @…

1
DjangoCon Europe 2025: Live Recording From Dublin 57:19

2M ago57:19

57:19

What goes into making video courses at Real Python? How should you build an installable Django application? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects. This week, the Real Python Podcast is experiencing several firsts. We recorded a show in front of a live audience for the ver…

1
#432 How To Fix Your Computer 25:48

2M ago25:48

25:48

Topics covered in this episode: pre-commit: install with uv PEP 773: A Python Installation Manager for Windows (Accepted) Changes for Textual The Best Programmers I Know Extras Joke Watch on YouTube About the show Sponsored by NordLayer: pythonbytes.fm/nordlayer Connect with the hosts Michael: @[email protected] / @mkennedy.codes (bsky) Brian:…

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

2M 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
#506: ty: Astral's New Type Checker (Formerly Red-Knot) 1:04:19

2M 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
#506: ty: Astral's New Type Checker (Formerly Red-Knot) 1:04:19

2M 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
Going Beyond requirements.txt With pylock.toml and PEP 751 1:31:46

2M ago1:31:46

1:31:46

What is the best way to record the Python dependencies for the reproducibility of your projects? What advantages will lock files provide for those projects? This week on the show, we welcome back Python Core Developer Brett Cannon to discuss his journey to bring PEP 751 and the pylock.toml file format to the community. Brett has been working on a w…

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

2M 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
#505: t-strings in Python (PEP 750) 1:11:59

2M 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
#505: t-strings in Python (PEP 750) 1:11:59

2M 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
Experiments With Gen AI, Knowledge Graphs, Workflows, and Python 59:18

2M ago59:18

59:18

Are you looking for some projects where you can practice your Python skills? Would you like to experiment with building a generative AI app or an automated knowledge graph sentiment analysis tool? This week on the show, we speak with Raymond Camden about his journey into Python, his work in developer relations, and the Python projects featured on h…

1
pytest-metadata - provides access to test session metadata 8:15

2M ago8:15

8:15

pytest-metadata is described as a plugin for pytest that provides access to test session metadata. That is such a humble description for such a massively useful plugin. If you're already using pytest-html, you have pytest-metadata already installed, as pytest-metadata is one of the dependencies for pytest-html. However, pytest-metadata is very usef…

1
#431 Nerd Gas 29:27

2M ago29:27

29:27

Topics covered in this episode: pirel: Python release cycle in your terminal FastAPI Cloud Python's new t-strings Extras Joke Watch on YouTube About the show Sponsored by NordLayer: pythonbytes.fm/nordlayer Connect with the hosts Michael: @[email protected] / @mkennedy.codes (bsky) Brian: @[email protected] / @brianokken.bsky.social Sho…

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

2M 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
#504: Developer Trends in 2025 1:09:53

2M 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
#504: Developer Trends in 2025 1:09:53

2M 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
pytest-check - allow multiple failures per test 9:56

2M ago9:56

9:56

pytest-check is a pytest plugin that allows multiple failures per test. Normally, a test function will fail and stop running with the first failed assert. That's totally fine for tons of kinds of software tests. However, there are times where you'd like to check more than one thing, and you'd really like to know the results of each check, even if o…

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

2M 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…

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