Topics covered in this episode:



	Ruff PyCharm plugin
Writing Python like it's Rust
Pip 23.1 Released - Massive improvement to backtracking
Markdown Code Runner
Extras
Joke



See the full show notes for this episode on the website at pythonbytes.fm/337

#337 Backtracking For a Package

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.

Technology

Tech News

Podcasting

Gadgets

Software How-To

Topics covered in this episode:



	NumPy 2.0 release date is June 16
Uvicorn adds multiprocess workers
pixi
JupyterLab 4.2 and Notebook 7.2 are available
Extras
Joke

Watch on YouTube


About the show

Sponsored by Mailtrap: pythonbytes.fm/mailtrap

Connect with the hosts


Michael: @mkennedy@fosstodon.org
Brian: @brianokken@fosstodon.org
Show: @pythonbytes@fosstodon.org


Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 10am PT. Older video versions available there too.

Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. 

Brian #1: NumPy 2.0 release date is June 16


“This release has been over a year in the making, and is the first major release since 2006. Importantly, in addition to many new features and performance improvement, it contains breaking changes to the ABI as well as the Python and C APIs. It is likely that downstream packages and end user code needs to be adapted - if you can, please verify whether your code works with NumPy 2.0.0rc2.”
NumPy 2.0.0 Release Notes
NumPy 2.0 migration guide

including “try just running ruff check path/to/code/ --select NPY201”
“Many of the changes covered in the 2.0 release notes and in this migration guide can be automatically adapted in downstream code with a dedicated Ruff rule, namely rule NPY201.”



Michael #2: Uvicorn adds multiprocess workers


via John Hagen
The goal was to no longer need to suggest that people use Gunicorn on top of uvicorn. Uvicorn can now in a sense "do it all”
Steps to use it and background on how it works.


Brian #3: pixi


Suggested by Vic Kelson
“pixi is a cross-platform, multi-language package manager and workflow tool built on the foundation of the conda ecosystem.”
Tutorial: Doing Python development with Pixi
Some quotes from Vic:

“Pixi is a project manager, written in Rust, that allows you to build Python projects without having Python previously installed. It’s installable with Homebrew (brew install pixi on Linux and MacOS). There’s support in VSCode and PyCharm via plugins. By default, pixi fetches packages from conda-forge, so you get the scientific stack in a pretty reliable and performant build. If a package isn’t on conda-forge, it’ll look on PyPI, or I believe you can force it to look on PyPI if you like.”
“So far, it works GREAT for me. What really impressed me is that I got a Jupyter environment with CuPy utilizing my aging Nvidia GPU on the FIRST TRY.”



Michael #4: JupyterLab 4.2 and Notebook 7.2 are available


JupyterLab 4.2.0 has been released! This new minor release of JupyterLab includes 3 new features, 20 enhancements, 33 bug fixes and 29 maintenance tasks.
Jupyter Notebook 7.2.0 has also been released
Highlights include

Easier Workspaces Management with GUI
Recently opened/closed files
Full notebook windowing mode by default (renders only the cells visible in the window, leading to improved performance)
Improved Shortcuts Editor
Dark High Contrast Theme



Extras 

Brian:


Help test Python 3.13!
Help us test free-threaded Python without the GIL

both from Hugo van Kemenade

Python Test 221: How to get pytest to import your code under test is out


Michael:


Bend follow up from Bernát Gábor

“Bend looks roughly like Python but is nowhere there actually. For example it has no for loops, instead you're meant to use bend keyword (hence the language name) to expand calculations and another keyword to join branches. So basically think of something that resembles Python at high level, but without being compatible with that and without any of the standard library or packages the Python language provides. That being said does an impressive job at parallelization, but essentially it's a brand new language with new syntax and paradigms that you will have to learn, it just shares at first look similarities with Python the most.”



Joke: Do-while

#386 Major releases abound

Topics covered in this episode:



	PostgresREST
How Python Asyncio Works: Recreating it from Scratch
Bend
The Smartest Way to Learn Python Regular Expressions
Extras
Joke

Watch on YouTube


About the show

Sponsored by Mailtrap: pythonbytes.fm/mailtrap

Connect with the hosts


Michael: @mkennedy@fosstodon.org
Brian: @brianokken@fosstodon.org
Show: @pythonbytes@fosstodon.org


Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 10am PT. Older video versions available there too.

Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it.

Michael #1: PostgresREST


PostgREST serves a fully RESTful API from any existing PostgreSQL database. It provides a cleaner, more standards-compliant, faster API than you are likely to write from scratch.
Speedy

First the server is written in Haskell using the Warp HTTP server (aka a compiled language with lightweight threads). 
Next it delegates as much calculation as possible to the database.
Finally it uses the database efficiently with the Hasql library

PostgREST handles authentication (via JSON Web Tokens) and delegates authorization to the role information defined in the database. This ensures there is a single declarative source of truth for security.


Brian #2: How Python Asyncio Works: Recreating it from Scratch


Jacob Padilla
Cool tutorial walking through how async works, including

Generators Review
The Event Loop
Sleeping
Yield to Await
Await with AsyncIO

Another great async resource is:

Build your Own Async

David Beasley talk from 2019




Michael #3: Bend


A massively parallel, high-level programming language.
With Bend you can write parallel code for multi-core CPUs/GPUs without being a C/CUDA expert with 10 years of experience. 
It feels just like Python!
No need to deal with the complexity of concurrent programming: locks, mutexes, atomics... any work that can be done in parallel will be done in parallel.


Brian #4: The Smartest Way to Learn Python Regular Expressions


Christian Mayer, Zohaib Riaz, and Lukas Rieger
Self published ebook on Python Regex that utilizes

book form readings, links to video course sections
puzzle challenges to complete online

It’s a paid resource, but the min is free.


Extras 

Brian:


Replay - A graphic memoir by Prince of Persia creator Jordan Mechner, recounting his own family story of war, exile and new beginnings.


Michael:


PyCon 2026


Joke:  Shells Scripts

#385 RESTing on Postgres

Topics covered in this episode:



	Git: Force push safely with --force-with-lease and --force-if-includes
Thoughts from PyCon 2024
Being friendly: Strategies for friendly fork management
tach
Extras
Joke

Watch on YouTube


About the show

Sponsored by Mailtrap: pythonbytes.fm/mailtrap

Connect with the hosts


Michael: @mkennedy@fosstodon.org
Brian: @brianokken@fosstodon.org
Show: @pythonbytes@fosstodon.org


Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 10am PT. Older video versions available there too.

Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it.

Brian #1: Git: Force push safely with --force-with-lease and --force-if-includes


Adam Johnson
Using gentle force 
Avoid stomping on remote changes with a couple extra flags.


Michael #2: Thoughts from PyCon 2024


PyCon is special - the connections you make are always more than you expect
Great to see many old friends
Did a ”live” Talk Python episode that’ll be out in a few weeks.
The talks look great, we’ll let you know when they land on YouTube.
Masks were a mistake - universally heard complaints from fellow attendees. This is my two cents towards a more reasonable next PyCon.


Brian #3:  Being friendly: Strategies for friendly fork management


That’s part 2. 
Part 1 is Being friendly: Friendly forks 101
Lessley Dennington on GitHub Blog
Examples of long running friendly forks

git-for-windows/git, microsift/git, github/git
two public, one private

Fork management strategies - when pulling changes downstream

merging rebase 

git-for-windows/git uses this proactively and regularly
fake merge + rebase

new branch 

microsoft/git uses this
new branch from upstream major versions
merge previous changes to new branch

traditional merge 

github/git uses this, conservatively, after a few point bug fix versions




Michael #4: tach


A Python tool to enforce a modular, decoupled package architecture.
tach allows you to define boundaries and control dependencies between your Python packages. 
Each package can define its public interface.
If a package tries to import from another package that is not listed as a dependency, tach will report an error. 
If a package tries to import from another package and does not use its public interface, with strict: true set, tach will report an error.
Zero runtime impact.


Extras 

Brian:


Logfire - new observability platform from the pydantic team - free for now


Michael:


10% off the new spaCy course throughout May


Joke: Evolution of smart products

#384 Force push lightly

Topics covered in this episode:



	I asked 100 devs why they aren’t shipping faster. Here’s what I learned
Python 3.13.0 beta 1 released
A theme editor for JupyterLab
rich-argparse
Extras
Joke

Watch on YouTube


About the show

Sponsored by Mailtrap: pythonbytes.fm/mailtrap

Connect with the hosts


Michael: @mkennedy@fosstodon.org
Brian: @brianokken@fosstodon.org
Show: @pythonbytes@fosstodon.org


Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 10am PT. Older video versions available there too.

Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it.

Michael #1: I asked 100 devs why they aren’t shipping faster. Here’s what I learned


by Daksh Gupta (via PyCoders)
What’s stopping you from shipping faster?

Dependency bugs 
Complicated codebase

>There is so much undocumented in our service, including poor records of new features, nonexistent or outdated info on our dependencies, or even essential things like best practices for testing, a lot of time is wasted in syncs trying to find the right information


QA Loops
Waiting for spec

> At Amazon? Meetings, approval, talking to 10 different stakeholders because changing the color of a button affects 15 micro services

Writing tests
Deployment/build speed
Scope creep

> The human tendency to stuff last-minute items into the crevices of their luggage minutes before leaving for the airport manifests itself at software companies as scope creep.

Unclear requirements
Excessive meetings
Motivation

>honest answer is i was on ads
>and that’s a very old / complicated / large stack (edited)
>and i didn’t understand it
>my friends on younger teams seemed happier, i was miserable

DORA metrics


Brian #2: Python 3.13.0 beta 1 released


"Python 3.13 is still in development. This release, 3.13.0b1, is the first of four beta release previews of 3.13.”
New REPL, featuring multi-line editing, color support, colorized exception tracebacks
Cool GIL, JIT, and GC features
Typing changes, including typing.TypeIs . 

See last weeks episode and TypeIs does what I thought TypeGuard would do in Python

Some nice dead battery removals
and more
But seriously, the REPL is cool. Just ask Trey

The new REPL in Python 3.13 - Trey Hunner



Michael #3: A theme editor for JupyterLab


by Florence Haudin
A new tool for authoring JupyterLab themes
To lower the bar for customizing JupyterLab we created a new tool providing a simple interface for tuning the JupyterLab appearance interactively.
See jupyterlab-theme-editor on github


Brian #4: rich-argparse


“Format argparse and optparse help using rich.”
“rich-argparse improves the look and readability of argparse's help while requiring minimal changes to the code.”
They’re not kidding. 2 line code change.
from rich_argparse import RichHelpFormatter
parser = argparse.ArgumentParser(..., formatter_class=RichHelpFormatter)



Extras 

Brian:


pytest course is now switched to the new platform.

I sent out an email including how to save their spot on the old site and mark that spot complete on the new site.
There’s now comments on the course now. Trying that out. If you’ve got a question, just ask in that section. 



Michael:


A new Talk Python course: Getting Started with NLP and spaCy


Joke: Testing holiday

#383 Why aren’t devs shipping faster?

Topics covered in this episode:



	act: Run your GitHub Actions locally! 
portr
Annotating args and kwargs in Python
github badges
Extras
Joke

Watch on YouTube


About the show

Sponsored by ScoutAPM: pythonbytes.fm/scout

Connect with the hosts


Michael: @mkennedy@fosstodon.org
Brian: @brianokken@fosstodon.org
Show: @pythonbytes@fosstodon.org


Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too.

Finally, if you want an artisanal, hand-crafted digest of every week of 

the show notes in email form? Add your name and email to our friends of the show list, we'll never share it.

Brian #1: act: Run your GitHub Actions locally! 


Why?

“Fast Feedback - Rather than having to commit/push every time you want to test out the changes you are making to your .github/workflows/ files (or for any changes to embedded GitHub actions), you can use act to run the actions locally. The environment variables and filesystem are all configured to match what GitHub provides.”
“Local Task Runner - I love make. However, I also hate repeating myself. With act, you can use the GitHub Actions defined in your .github/workflows/ to replace your Makefile!”

Docs: nektosact.com
Uses Docker to run containers for each action.


Michael #2: portr


Open source ngrok alternative designed for teams
Expose local http, tcp or websocket connections to the public internet
Warning: Portr is currently in beta. Expect bugs and anticipate breaking changes.
Server setup (docker basically).


Brian #3: Annotating args and kwargs in Python


Redowan Delowar
I don’t think I’ve ever tried, but this is a fun rabbit hole.
Leveraging bits of PEP-5891, PEP-6462, PEP-6553, and PEP-6924.
Punchline:

from typing import TypedDict, Unpack  *# Python 3.12+*
*# from typing_extensions import TypedDict, Unpack # < Python 3.12*
class Kw(TypedDict):
  key1: int
  key2: bool
def foo(*args: Unpack[tuple[int, str]], **kwargs: Unpack[Kw]) -> None:
  ...

A recent pic from Redowan’s blog: 


TypeIs does what I thought TypeGuard would do in Python



Michael #4: github badges


 A curated list of GitHub badges for your next project


Extras 

Brian:


Fake job interviews target developers with new Python backdoor
Later this week, course.pythontest.com will shift from Teachable to Podia

Same great content. Just a different backend.
To celebrate, get 25% off at pythontest.podia.com now through this Sunday using coupon code PYTEST

Getting the most out of PyCon, including juggling - Rob Ludwick

Latest PythonTest episode, also cross posted to pythonpeople.fm

3D visualization of dom


Michael:


Djangonauts Space Session 2 Applications Open! More background at Djangonauts, Ready for Blast-Off on Talk Python.
Self-Hosted Open Source - Michael Kennedy on Django Chat


Joke: silly games

Closing song: Permission Granted

#337 Backtracking For a Package

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