Python Bytes

By Michael Kennedy and Brian Okken

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.... more

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The podcast currently has 623 episodes available.

Python Bytes episodes:

January 27, 2025#418 I'm a tea pot
Topics covered in this episode:
In memoriam: Michael Foord 1974-2025
Valkey (Redis Replacement)
30 best practices for software development and testing
mimetype.io
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: @[email protected] / @mkennedy.codes (bsky)
Brian: @[email protected] / @brianokken.bsky.social
Show: @[email protected] / @pythonbytes.fm (bsky)
Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday 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: In memoriam: Michael Foord 1974-2025
Guido van Rossum and others
We’ve just lost Michael Foord this last weekend.
From Guido:
“Michael, an original thinker if there ever was one, started the tradition of having Language Summit events at PyCon, IIRC together with Barry Warsaw. He also wrote and contributed the influential mock library. … “
“PS. Feel free to post your own (positive) memories of meeting Michael – perhaps his children (10 and 13) will read them when they’re older and this thread might help them remember their father.”
I’ve added my memories. I think this is a great (and small) way to honor him.
My friend Michael - Nicholas Tolervey
After 5 years of trying, I did get an interview with Michael. I wish I’d have gotten that followup.
Test & Code episode with Michael, ep 145, “For those about to mock”
Michael #2: Valkey (Redis Replacement)
Thanks Calvin HP
An open source (BSD) high-performance key/value datastore that supports a variety of workloads such as caching, message queues.
Can act as a primary database.
Valkey can run as either a standalone daemon or in a cluster, with options for replication and high availability.
Valkey natively supports a rich collection of datatypes, including strings, numbers, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs and more.
You can operate on data structures in-place with an expressive collection of commands.
Brian #3: 30 best practices for software development and testing
Michael Foord (from 2017)
Some gems
1 - YAGNI
6 - Unit tests test to the unit of behavior, not the unit of implementation.
8 - Code is the enemy: It can go wrong, and it needs maintenance. Write less code. Delete code. Don’t write code you don’t need.
15 - The more you have to mock out to test your code, the worse your code is.
and so many more …
Michael #4: mimetype.io
I’m always forgetting content types!
Also, shout out to httpstatuses.io
Extras
Brian:
Python 1.0.0 released 31 years ago
Michael:
Python 3.14.0 alpha 4 is out
Joke: Tea Time
...more
21min
January 21, 2025#417 Bugs hide from the light
Topics covered in this episode:
LLM Catcher
On PyPI Quarantine process
RESPX
Unpacking kwargs with custom objects
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: @[email protected] / @mkennedy.codes (bsky)
Brian: @[email protected] / @brianokken.bsky.social
Show: @[email protected] / @pythonbytes.fm (bsky)
Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday 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: LLM Catcher
via Pat Decker
Large language model diagnostics for python applications and FastAPI applications .
Features
Exception diagnosis using LLMs (Ollama or OpenAI)
Support for local LLMs through Ollama
OpenAI integration for cloud-based models
Multiple error handling approaches:
Function decorators for automatic diagnosis
Try/except blocks for manual control
Global exception handler for unhandled errors from imported modules
Both synchronous and asynchronous APIs
Flexible configuration through environment variables or config file
Brian #2: On PyPI Quarantine process
Mike Fiedler
Project Lifecycle Status - Quarantine in his "Safety & Security Engineer: First Year in Review post”
Some more info now in Project Quarantine
Reports of malware in a project kick things off
Admins can now place a project in quarantine, allowing it to be unavailable for install, but still around for analysis.
New process allows for packages to go back to normal if the report is false.
However
Since August, the Quarantine feature has been in use, with PyPI Admins marking ~140 reported projects as Quarantined.
Of these, only a single project has exited Quarantine, others have been removed.
Michael #3: RESPX
Mock HTTPX with awesome request patterns and response side effects
A simple, yet powerful, utility for mocking out the HTTPX, and HTTP Core, libraries.
Start by patching HTTPX, using respx.mock, then add request routes to mock responses.
For a neater pytest experience, RESPX includes a respx_mock fixture
Brian #4: Unpacking kwargs with custom objects
Rodrigo
A class needs to have
a keys() method that returns an iterable.
a __getitem__() method for lookup
Then double splat ** works on objects of that type.
Extras
Brian:
A surprising thing about PyPI's BigQuery data - Hugovk
Top PyPI Packages (and therefore also Top pytest Plugins) uses a BigQuery dataset
Has grabbed 30-day data of 4,000, then 5,000, then 8,000 packages.
Turns out 531,022 packages (amount returned when limit set to a million) is the same cost.
So…. hoping future updates to these “Top …” pages will have way more data.
Also, was planning on recording a Test & Code episode on pytest-cov today, but haven’t yet. Hopefully at least a couple of new episodes this week.
Finally updated pythontest.com with BlueSky links on home page and contact page.
Michael:
Follow up from Owen (uv-secure):
Thanks for the multiple shout outs! uv-secure just uses the PyPi json API at present to query package vulnerabilities (same as default source for pip audit). I do smash it asynchronously for all dependencies at once... but it still takes a few seconds.
Joke: Bugs hide from the light!
...more
24min
January 13, 2025#416 A Ghostly Episode
Topics covered in this episode:
Terminals & Shells
Winloop: An Alternative library for uvloop compatibility with windows
Ruff & uv
uv-secure
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: @[email protected] / @mkennedy.codes (bsky)
Brian: @[email protected] / @brianokken.bsky.social
Show: @[email protected] / @pythonbytes.fm (bsky)
Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday 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: Terminals & Shells
Ghostty is out
Started by Mitchel Hashimoto, one of the co-founders of Hashicorp
“Ghostty is a terminal emulator that differentiates itself by being fast, feature-rich, and native. While there are many excellent terminal emulators available, they all force you to choose between speed, features, or native UIs. Ghostty provides all three.”
Currently for macOS & Linux (Windows planned)
Version 1.0.1 released Dec 31, announced in Oct
Features: cross-platform, windows, tabs, and splits, Themes, Ligatures, …
Shell Integration: Some Ghostty features require integrating with your shell. Ghostty can automatically inject shell integration for bash, zsh, fish, and elvish.
Fish is moving to Rust
“fish is a smart and user-friendly command line shell with clever features that just work, without needing an advanced degree in bash scriptology.”
“fish 4.0 is a big upgrade. It’s got lots of new features to make using the command line easier and more enjoyable, such as more natural key binding and expanded history search. And under the hood, we’ve rebuilt the foundation in Rust.”
Michael #2: Winloop: An Alternative library for uvloop compatibility with windows
via Owen Lamont
An alternative library for uvloop compatibility with windows .
It always felt disappointing when libuv is available for windows but windows was never compatible with uvloop.
Brian #3: Ruff & uv
Ruff 0.9.0 has a new 2025 style guide
f-string formatting improvements
Now formats expressions interpolated inside f-string curly braces
Quotes normalized according to project config
Unnecessary escapes removed
Examines interpolated expressions to see if splitting the string over multiple lines is ok
Other changes to, but it’s the f-string improvements I’m excited about.
Python 3.14.0a3 is out, and available with uv
uv python install 3.14 --preview
Michael #4: uv-secure
by Owen Lamont (yes again :) )
This tool will scan PyPi dependencies listed in your uv.lock files (or uv generated requirements.txt files) and check for known vulnerabilities listed against those packages and versions in the PyPi json API.
I don't intend uv-secure to ever create virtual environments or do dependency resolution - the plan is to leave that all to uv since it does that so well and just target lock files and fully pinned and dependency resolved requirements.txt files).
Works “out of the box” with a requirements.txt from uv pip compile.
Extras
Brian:
Test & Code Season 2: pytest plugins
Season 1 was something like 223 episodes over 9.5 years
Started the summer of 2015
Send in pytest plugin suggestions to Brian on BlueSky or Mastodon
or the contact form at pythontest.com
Michael:
Episode Deep Dive feature at Talk Python
Feedback on social media:
Those deep dives look really handy. Yes, those ARE really handy! Thanks for doing that.
wow, yes please! This is awesome.
Wow, this is amazing. … It helps when going back to check something (without having to re-listen).
PyCon Austria at.pycon.org
Heavy metal status codes
Beautiful Soup feedback CFA via Sumana Harihareswara
Joke: That's a stupid cup
...more
44min
December 23, 2024#415 Just put the fries in the bag bro
Topics covered in this episode:
dbos-transact-py
Typed Python in 2024: Well adopted, yet usability challenges persist
RightTyper
Lazy self-installing Python scripts with uv
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: @[email protected] / @mkennedy.codes (bsky)
Brian: @[email protected] / @brianokken.bsky.social
Show: @[email protected] / @pythonbytes.fm (bsky)
Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday 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: dbos-transact-py
DBOS Transact is a Python library providing ultra-lightweight durable execution.
Durable execution means your program is resilient to any failure.
If it is ever interrupted or crashes, all your workflows will automatically resume from the last completed step.
Under the hood, DBOS Transact works by storing your program's execution state (which workflows are currently executing and which steps they've completed) in a Postgres database.
Incredibly fast, for example 25x faster than AWS Step Functions.
Brian #2: Typed Python in 2024: Well adopted, yet usability challenges persist
Aaron Pollack on Engineering at Meta blog
“Overall findings
88% of respondents “Always” or “Often” use Types in their Python code.
IDE tooling, documentation, and catching bugs are drivers for the high adoption of types in survey responses,
The usability of types and ability to express complex patterns still are challenges that leave some code unchecked.
Latency in tooling and lack of types in popular libraries are limiting the effectiveness of type checkers.
Inconsistency in type check implementations and poor discoverability of the documentation create friction in onboarding types into a project and seeking help when using the tools. “
Notes
Seems to be a different survey than the 2023 (current) dev survey. Diff time frame and results. July 29 - Oct 8, 2024
Michael #3: RightTyper
A fast and efficient type assistant for Python, including tensor shape inference
Brian #4: Lazy self-installing Python scripts with uv
Trey Hunner
Creating your own ~/bin full of single-file command line scripts is common for *nix folks, still powerful but underutilized on Mac, and trickier but still useful on Windows.
Python has been difficult in the past to use for standalone scripts if you need dependencies, but that’s no longer the case with uv.
Trey walks through user scripts (*nix and Mac)
Using #! for scripts that don’thave dependencies
Using #! with uv run --script and /// script for dependencies
Discussion about how uv handles that.
Extras
Brian:
Courses at pythontest.com
If you live in a place (or are in a place in your life) where these prices are too much, let me know. I had a recent request and I really appreciate it.
Michael:
Python 3.14 update released
Top episodes of 2024 at Talk Python
Universal check for updates macOS:
Settings > Keyboard > Keyboard shortcuts > App shortcuts > +
Then add shortcut for single app, ^U and the menu title.
Joke: Python with rizz
...more
33min
December 16, 2024#414 Because we are not monsters
Topics covered in this episode:
New project to shorten django-admin to django because we are not monsters
django-unicorn: The magical reactive component framework for Django
Testing some tidbits
The State of Python 2024 article
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: @[email protected] / @mkennedy.codes (bsky)
Brian: @[email protected] / @brianokken.bsky.social
Show: @[email protected] / @pythonbytes.fm (bsky)
Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday 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: New project to shorten django-admin to django because we are not monsters
Jeff Tripplet has created django-cli-no-admin to shorten django-admin to just django.
“One of the biggest mysteries in Django is why I have to run django-admin from my terminal instead of just running django. Confusingly, django-admin has nothing to do with Django’s admin app.”
Instead of typing things like: django-admin startproject mysite projectname
We can type the shorter: django startproject mysite projectname
I love this kind of developer speedup / comfort improvements
And yes, Jeff wants Django to eventually include this as the default way to run the command line utilities.
Michael #2: django-unicorn: The magical reactive component framework for Django
Add modern site functionality: Quickly add in simple interactions to regular Django templates without learning a new templating language.
Skip the JavaScript build tools
No API required: Skip creating a bunch of serializers and just use Django.
Brian #3: Testing some tidbits
Ned Batchelder
Different ways to test to see if a string has only 0 or 1 in it.
And also, a way to check all the different ways to make sure they work.
Fun post, and I learned about
cleandoc - a way to strip leading blank space and maintain code block indentation
I usually use textwrap.dedent()
partition - splitting strings based on a substring
Using | to pass imports to eval() - I don't use eval much.
However, no pytest!
Here’s a way to check all this with pytest:
Testing some tidbits with pytest
Michael #4: The State of Python 2024 article
Python usage with other languages drops as general adoption grows
41% of Python developers have under 2 years of experience
Python learning expands through diverse channels
The Python 2 vs. 3 divide is in the distant past
Flask, Django, and FastAPI remain top Python web frameworks
Most Python web apps run on hyperscale clouds
Containers over VMs over hardware
uv takes Python packaging by storm
Extras
Brian:
More Django: Dracula Theme for Django Admin
Michael:
Zen Browser update
Office refresh
Transcripts (in some players)
Joke:
Volkswagen, passing all the tests
...more
30min
December 09, 2024#413 python-build-standalone finds a home
Topics covered in this episode:
jiter
A new home for python-build-standalone
moka-py
uv: An In-Depth Guide
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: @[email protected] / @mkennedy.codes (bsky)
Brian: @[email protected] / @brianokken.bsky.social
Show: @[email protected] / @pythonbytes.fm (bsky)
Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday 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: jiter
Fast iterable JSON parser.
About to be the backend for Pydantic and Logfire.
Currently powers OpenAI / ChatGPT (along with Pydantic itself), at least their Python library, maybe more.
jiter has three interfaces:
JsonValue an enum representing JSON data
Jiter an iterator over JSON data
PythonParse which parses a JSON string into a Python object
jiter-python - This is a standalone version of the JSON parser used in pydantic-core. The recommendation is to only use this package directly if you do not use pydantic
Brian #2: A new home for python-build-standalone
Charlie Marsh
See also Transferring Python Build Standalone Stewardship to Astral from Gregory Szorc
python-build-standalone is the project that has prebuilt binaries for different architectures.
used by uv python install 3.12 and uv venv .venv --python 3.12 and uv sync
This is good stability news for everyone.
Interesting discussion of prebuilt Python from Charlie
Michael #3: moka-py
A high performance caching library for Python written in Rust
moka-py is a Python binding for the highly efficient Moka caching library written in Rust.
This library allows you to leverage the power of Moka's high-performance, feature-rich cache in your Python projects.
Features
Synchronous Cache: Supports thread-safe, in-memory caching for Python applications.
TTL Support: Automatically evicts entries after a configurable time-to-live (TTL).
TTI Support: Automatically evicts entries after a configurable time-to-idle (TTI).
Size-based Eviction: Automatically removes items when the cache exceeds its size limit using the TinyLFU policy.
Concurrency: Optimized for high-performance, concurrent access in multi-threaded environments.
Brian #4: uv: An In-Depth Guide
On SaaS Pegasus blog, so presumably by Cory Zue
Good intro to uv
Also a nice list of everyday commands
Install python: uv python install 3.12
I don’t really use this anymore, as uv venv .venv --python 3.12 or uv sync install if necessary
create a virtual env: uv venv .venv --python 3.12
install stuff: uv pip install django
add project dependencies
build pinned dependencies
Also discussion about adopting the new workflow
Extras
Brian:
PydanticAI - not sure why I didn’t see that coming
In the “good to know” and “commentary on society” area:
Anti-Toxicity Features on Bluesky
The WIRED Guide to Protecting Yourself From Government Surveillance
Michael:
Go sponsor a bunch of projects on GitHub
Registration is open for PyCon
Joke: Inf
...more
31min
December 02, 2024#412 Closing the loop
Topics covered in this episode:
Loop targets
asyncstdlib
Bagels: TUI Expense Tracker
rloop: An AsyncIO event loop implemented in Rust
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: @[email protected] / @mkennedy.codes (bsky)
Brian: @[email protected] / @brianokken.bsky.social
Show: @[email protected] / @pythonbytes.fm (bsky)
Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday 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: Loop targets
Ned Batchelder
I don’t think I would have covered this had it not been the surprising opposition to Ned’s code.
Here’s the snippet:
params = {
"query": QUERY,
"page_size": 100,
}
*# Get page=0, page=1, page=2, ...*
**for** params["page"] in itertools.count():
data = requests.get(SEARCH_URL, params).json()
**if** not data["results"]:
**break**
...
Ned is utilizing the assignment in the for loop to use the value of count() and store it into the params["page"].
The article includes another version with a temp variable page_num, which I think the naysayers would prefer.
But frankly, I think both are fine. Why not put the value right where you want it?
Michael #2: asyncstdlib
The asyncstdlib library re-implements functions and classes of the Python standard library to make them compatible with async callables, iterables and context managers.
It is fully agnostic to async event loops and seamlessly works with asyncio, third-party libraries such as trio, as well as any custom async event loop.
Full set of async versions of advantageous standard library helpers, such as zip, map, enumerate, functools.reduce, itertools.tee, itertools.groupby and many others.
Safe handling of async iterators to ensure prompt cleanup, as well as various helpers to simplify safely using custom async iterators.
Small but powerful toolset to seamlessly integrate existing sync code into async programs and libraries.
Brian #3: Bagels: TUI Expense Tracker
Jax Tam
“Bagels expense tracker is a TUI application where you can track and analyse your money flow, with convenience oriented features and a complete interface.
Why an expense tracker in the terminal? I found it easier to build a habit and keep an accurate track of my expenses if I do it at the end of the day, instead of on the go. So why not in the terminal where it's fast, and I can keep all my data locally?”
Who hasn’t wanted to write their own expense tracker?
This implementation is fun for lots of reasons
It’s still new and pretty small, so forking it for your own uses should be easy
Built on textual is fun
install instructions based on uv tool seems to be the new normal:
uv tool install --python 3.13 bagels
test suite started
pretty useful as is, actually
Nice that it includes a roadmap of future goals
Would be a fun project to help out with for anyone looking for anyone looking for a shiny new codebase to contribute to.
Michael #4: rloop: An AsyncIO event loop implemented in Rust
An AsyncIO event loop implemented in Rust
From Giovanni Barillari, Creator of Granian
RLoop is an AsyncIO event loop implemented in Rust on top of the mio crate.
Disclaimer: This is a work in progress and definitely not ready for production usage.
Run asyncio.set_event_loop_policy(rloop.EventLoopPolicy()) and done.
Similar to uvloop.
Extras
Brian:
I’m currently listening to Four Thousand Weeks - Time Management for Mortals by Oliver Burkeman for the second time. Highly recommend.
Development Advent Calendars for 2024 - Adrian Roselli
Black Friday at PythonTest.com
Michael:
Docker cluster monitor
Compare engagement across Mastodon / Bsky / Twitter
https://bsky.app/profile/pythonbytes.fm/post/3lbseqgr5m22z
https://fosstodon.org/@pythonbytes/113545509565796190
https://x.com/pythonbytes/status/1861166179236319288
Back on #277 we talked about StrEnum. Got a nice chance to use it this weekend.
Maybe Finance
Go sponsor a bunch of projects on GitHub
Black Friday at Talk Python
Joke: CTRL + X onion
...more
26min
November 25, 2024#411 TLS Client: Hello <<guitar solo>>
Topics covered in this episode:
Talk Python rewritten in Quart
PyPI now supports digital attestations
Django Rusty Templates
PEP 639 is now supported by PYPI
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: @[email protected] / @mkennedy.codes (bsky)
Brian: @[email protected] / @brianokken.bsky.social
Show: @[email protected] / @pythonbytes.fm (bsky)
Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday 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: Talk Python rewritten in Quart
Rewrote all of talkpython.fm in Quart (10k lines of code total, 4k changed)
Considered
FastAPI
Litestar
Django
Hugo Static Site + Python
Flask
Discussed the multistage upgrade / conversion process
Automating tests for all 1,000 pages
Brian #2: PyPI now supports digital attestations
Dustin Ingram
“Attestations provide a verifiable link to an upstream source repository: By signing with the identity of the upstream source repository, such as in the case of an upload of a project built with GitHub Actions, PyPI's support for digital attestations defines a strong and verifiable association between a file on PyPI and the source repository, workflow, and even the commit hash that produced and uploaded the file. Additionally, publishing attestations to a transparency log helps mitigate against both compromise of PyPI and compromise of the projects themselves.”
For maintainers
If using GH Actions and Trusted Publishing
make sure you use pypa/gh-action-pypi-publish, version v1.11.0 or newer
that’s it
If not
“Support for automatic attestation generation and publication from other Trusted Publisher environments is planned.”
“While not recommended, maintainers can also manually generate and publish attestations.”
See also
PyPI Introduces Digital Attestations to Strengthen Python Package Security
by Sarah Gooding
Are we PEP 740 yet?
Michael #3: Django Rusty Templates
by Lily Foote
An experimental reimplementation of Django's templating language in Rust.
Goals
100% compatibility of rendered output.
Error reporting that is at least as useful as Django's errors.
Improved performance over Django's pure Python implementation.
Brian #4: PEP 639 is now supported by PYPI
from Brett Cannon
PEP 639 – Improving License Clarity with Better Package Metadata
For project metadata, use these fields: license and license-files:
Examples license field
[project]
license = "MIT"
[project]
license = "MIT AND (Apache-2.0 OR BSD-2-clause)"
[project]
license = "MIT OR GPL-2.0-or-later OR (FSFUL AND BSD-2-Clause)"
[project]
license = "LicenseRef-Proprietary"
Examples of license-files:
[project]
license-files = ["LICEN[CS]E*", "AUTHORS*"]
[project]
license-files = ["licenses/LICENSE.MIT", "licenses/LICENSE.CC0"]
[project]
license-files = ["LICENSE.txt", "licenses/*"]
[project]
license-files = []
Extras
Brian:
Playground Wisdom: Threads Beat Async/Await - interesting read from Armin Ronacher about different language abstractions around concurrency.
PythonTest.com Discord community is now live
Launched last week, as of this morning we’ve got 89 members
Anyone already a pythontest community member has received an invite
Anyone can join through courses.pythontest.com
Everything at pythontest.com is 20% off through Dec 2 with code turkeysale2024
“Python Testing with pytest” eBook 40% off through Dec 2, use code turkeysale2024
Michael:
Python 3.14.0a2 released
Starter packs:
Michael’s Python people: https://bsky.app/starter-pack/mkennedy.codes/3lbdnupl26e2x
Directory: https://blueskydirectory.com/starter-packs/all
Joke: curl - heavy metal style!
...more
41min
November 18, 2024#410 Entering the Django core
Topics covered in this episode:
Thoughts on Django’s Core
futurepool
Don't return named tuples in new APIs
Ziglang: Migrating from AWS to Self-Hosting
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: @[email protected] / @mkennedy.codes (bsky)
Brian: @[email protected] / @brianokken.bsky.social
Show: @[email protected] / @pythonbytes.fm (bsky)
Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday 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: Thoughts on Django’s Core
Carlton Gibson
Great discussion on
Django and Core vs Plugins
Sustainability with limited people
Keeping core small
The release cycle
eembrace plugins vs endorsing plugins.
Michael #2: futurepool
via Pat Decker
Takes the concept of multiprocessing Pool to the async/await world.
Create a pool then delegate the work:
async with FuturePool(2) as fp:
result = await fp.map(async_pool_fn, range(10))
I would LOVE to see something like this in a broader background asyncio worker pool concept.
But that concept doesn’t exist in asyncio in Python and that’s a failing of the framework IMO.
Brian #3: Don't return named tuples in new APIs
Brett Cannon
First off, I’m grateful for any post that talks about APIs and the API is a module, class, or package API and not a Web/REST API. The term API existed long before the internet.
“e.g., get_mouse_position() very likely has a two-item tuple of X and Y coordinates of the screen”
“it actually makes your API more complex for both you and your users to use. For you, it doubles the data access API surface for your return type as you have to now support index-based and attribute-based data access forever (or until you choose to break your users and change your return type so it doesn't support both approaches)”
“… you probably don't want people doing with your return type, like slicing, iterating over all the items …”
Alternatives
class
dataclass
dictionary
TypedDict
SimpleNamespace
“My key point in all of this is to prefer readability and ergonomics over brevity in your code. That means avoiding named tuples except where you are expanding to tweaking an existing API where the named tuple improves over the plain tuple that's already being used.”
Michael #4: Ziglang: Migrating from AWS to Self-Hosting
The Rust Foundation for example, reports that they spent $404,400 on infrastructure costs in 2023.
Zig lang has decided to use a single big cloud machine + mirrors
Extras
Brian:
Changing the Python Test community
Was started to answer questions for Test & Code listeners years ago.
Primarily pytest questions
Used to be Slack. Then moved to Podia forum.
Now I’m trying to work out a Discord solution that is both sustainable and usable.
Michael:
PWang Bsky essay
Building A Business From Python Expertise - Michael Kennedy on Work Item Podcast
Subscribe to package releases, just put .atom on the end of their releases URL, for example:
github.com/mikeckennedy/jinja_partials/releases ← add .atom for RSS
pytest-bdd 8.0.0 was just released via Jamie Thomson
The big feature (in Jamie’s opinion) is the addition of data tables https://github.com/pytest-dev/pytest-bdd/blob/master/CHANGES.rst#800---2024-11-14
Joke: Breaking: JavaScript Developer Commits to Framework for Record-Breaking 3 Weeks
...more
31min
November 14, 2024#409 We've moved to Hetzner write-up
Topics covered in this episode:
terminal-tree
posting: The API client that lives in your terminal
Extra, extra, extra
UV does everything or enough that I'm not sure what else it needs to do
Extras
Joke
Watch on YouTube
About the show
Sponsored by:
ScoutAPM - Django Application Performance Monitoring
Codeium - Free AI Code Completion & Chat
Connect with the hosts
Michael: @[email protected] / @mkennedy.codes (bsky)
Brian: @[email protected] / @brianokken.bsky.social
Show: @[email protected] / @pythonbytes.fm (bsky)
Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday 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: terminal-tree
An experimental filesystem navigator for the terminal, built with Textual
Tested in macOS only at this point. Chances are very high it works on Linux. Slightly lower chance (but non-zero) that it works on Windows.
Can confirm it works on Linux
Brian #2: posting: The API client that lives in your terminal
Also uses Textual
From Darren Burns
Interesting that the installation instructions recommends using uv:
uv tool install --python 3.12 posting
Very cool. Great docs. Beautiful. keyboard centric, but also usable with a mouse.
“Fly through your API workflow with an approachable yet powerful keyboard-centric interface. Run it locally or over SSH on remote machines and containers. Save your requests in a readable and version-control friendly format.”
Able to save multiple environments
Great colors
Allows scripting to run Python code before and after requests to prepare headers, set variables, etc.
Michael #3: Extra, extra, extra
spaCy course swag give-away, enter for free
New essay: Opposite of Cloud Native is?
News: We've moved to Hetzner
New package: Introducing chameleon-flask package
New release: Listmonk Python client
TIOBE Update
PEP 750 – Template Strings
Canary email
Left Omnivore, for Pocket, left Pocket for, …, landed on Instapaper
Supports direct import from Omnivore and Pocket
Though Hoarder is compelling
Trying out Zen Browser
Wasn’t a fan of Arc (especially now) but the news turned me on to Zen
Brian #4: UV does everything or enough that I'm not sure what else it needs to do
Jeff Triplett
“UV feels like one of those old infomercials where it solves everything, which is where we have landed in the Python world.”
“My favorite feature is that UV can now bootstrap a project to run on a machine that does not previously have Python installed, along with installing any packages your application might require.”
Partial list (see Jeff’s post for his complete list)
uv pip install replaces pip install
uv venv replaces python -m venv
uv run, uv tool run, and uv tool install replaces pipx
uv build - Build your Python package for pypi
uv publish - Upload your Python package to pypi, replacing twine and flit publish
Extras
Brian:
Coverage.py originally was just one file
Trying out BlueSky brianokken.bsky.social
Not because of Taylor Swift, but nice.
There are a lot of Python people there.
Joke: How programmers sleep
...more
36min

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