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Description
Python Bytes is a weekly podcast hosted by Michael Kennedy and Brian Okken. The show is a short discussion on the headlines and noteworthy news in the Python, developer, and data science space.
518 Episodes
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Topics include , typed-ffmpeg, pyleak, and Optimizing Test Execution: Running live_server Tests Last with pytest.
Topics include platformdirs, poethepoet, Python Pandas Ditches NumPy for Speedier PyArrow, and pointblank: Data validation made beautiful and powerful.
Topics include 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, and Optimizing Python Import Performance.
Topics include git-flight-rules, Uravelling t-strings, neohtop, and Introducing Pyrefly: A new type checker and IDE experience for Python.
1Topics include pre-commit: install with uv, PEP 773, Changes for Textual, and The Best Programmers I Know.
Topics include pirel: Python release cycle in your terminal, FastAPI Cloud, and Python's new t-strings.
Topics include pip 25.1 has dependency groups, pylock.toml, plus more, aiohttp goes free threaded, uv 0.6.15 supports pylock.toml, and Whenever.
Topics include Huly, CVE Foundation, drawdb, and 14 Advanced Python Features.
Topics include How to Write a Git Commit Message, Caddy Web Server, , and juv.
Topics include Git Town, PEP 751 – A file format to record Python dependencies for installation reproducibility, git-who watchgha, and Share Python Scripts Like a Pro: uv and PEP 723 for Easy Deployment.
Topics include mdformat, pre-commit-uv, , and Serie books.
Topics include Why aren't you using uv, Python Developer Tooling Handbook, Calling all doc writers: blacken-docs, and Reinventing notebooks as reusable Python programs.
Topics include The weird quirk with rounding in Python, Python interpreter adds tail calls, Remove punctuation from a string with translate and maketrans, and.
Topics include pysqlscribe, A map of Python, Rust, C++, and Python trends in jobs on Hacker News 2025), and The features of Python's help() function.
Topics include My 2025 uv-based Python Project Layout for Production Apps, aiolimiter, A peek into a possible future of Python in the browser, and Reloadium.
Topics include httpdbg, PyPI Now Supports iOS and Android Wheels for Mobile Python Development, Arcade Game Platform, and PEP 765 – Disallow return/break/continue that exit a finally block.
Topics include PEP 772 – Packaging governance process, Official Django MongoDB Backend, Developer Philosophy, and Python 3.13.2.
Topics include content-types package, Wagtail 6.4, Build It Yourself, and Build backend popularity over time.
Topics include In memoriam: Michael Foord 1974-2025, Valkey Replacement), 30 best practices for software development and testing, and mimetype.io.
Topics include LLM Catcher, , RESPX, and Unpacking kwargs with custom objects.
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I don't work with python, but I know that for many people developing their own solutions, apps and products and managing those products is more than relevant. I assume pip https://setapp.com/how-to/install-pip-on-mac you use as well, and it's great that there are such solutions for Mac to manage all products as easily and efficiently as possible.
Very good podcast!
sorry, but I can't with so many yawning 😂
I get that str.strip() needs some work. However, for the time being (and to ensure backwards compatibility) surely re.sub() is a solid choice for some of the use cases you guys are discussed no?
can't believe it
Author: Jukka Lehtosalo Sponsor: Guido van Rossum Status: Accepted Version: 3.8 PEP 484 defines the type Dict[K, V] for uniform dictionaries, where each value has the same type, and arbitrary key values are supported. It doesn't properly support the common pattern where the type of a dictionary value depends on the string value of the key. Core idea: Consider creating a type to validate an arbitrary JSON document with a fixed schema Proposed syntax: https://icetutor.com
I think the methodology for the calculation of language popularity is specifically under representative of both R and python. if you check out trends for dplyr (R) or pandas (python) packages for data manipulation, both dwarf the overall language specific searches. I wonder if that bias also partially led to the declining interest in Ruby on Rails.
fgr Dr rhh
Thanks for the kubernetes example, and overall good episode
ypf
As usual, perfect!
I think you missed to highlight all the nice work of realphlython and your podcasts, these are key stuffs for Python in 2018!
The jokes are good but let brian do it. 😂
Congrats Python Bytes. This episode was really great 😎
Joel Grus talk can be found here: https://youtu.be/7jiPeIFXb6U
víbora means in Spanish: snake. umm, just thinking about Phyton
It's intetesting the title is flask but you guys spoke more about Django? kidding? hahaha please dont mess with us《Mico framework fans Thanks
nice, another super good Python postcast