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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.
532 Episodes
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Topics include pandas is getting pd.col expressions, Cline, At-Cost Agentic IDE Tooling, uv cheatsheet, and Ducky Network UI.
Topics include Mozilla’s Lifeline is Safe After Judge’s Google Antitrust Ruling, troml - suggests or fills in trove classifiers for your projects, pqrs: Command line tool for inspecting Parquet files, and.
Topics include prek, tinyio, The power of Python’s print function, and Vibe Coding Fiasco: AI Agent Goes Rogue, Deletes Company's Entire Database.
Topics include rathole, pre-commit: install with uv, A good example of what functools.Placeholder from Python 3.14 allows, and Converted 160 old blog posts with AI.
Topics include pypistats.org, State of Python 2025, wrapt: A Python module for decorators, wrappers and monkey patching., and pysentry.
Topics include pyx - optimized backend for uv, Litestar is worth a look, Django remake migrations, and django-chronos.
Topics include Coverage.py regex pragmas, Python of Yore, nox-uv, and.
Topics include rumdl, Coverage 7.10.0: patch, aioboto3, and You might not need a Python class.
Topics include Open Source Security work isn't “Special”, uv v0.8, , and Announcing Toad - a universal UI for agentic coding in the terminal.
Topics include Turso Litestream, PEP 792 – Project status markers in the simple index, Run coverage on tests, and docker2exe.
Topics include Switching to direnv, Starship, and uv, rqlite - Distributed SQLite DB, and.
Topics include ty documentation site and uv migration guide, uv build backend is now stable, Refactoring long boolean expressions, and fastapi-ml-skeleton.
Topics include Python Cheat Sheets from Trey Hunner, Automatisch, mureq-typed, and My CLI World.
Topics include The Python Language Summit 2025, Fixing Python Properties, complexipy, and juvio.
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.
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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