Python Bytes

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

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

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

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