Episode #252: Jupyter is now a desktop app!
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About the show
Sponsored by us:
Special guest: Ethan Swan
Michael #0: Changing themes to DIY
Brian #1: SQLFluff
- Suggested by Dave Kotchessa.
- A SQL Linter, written in Python, tested with pytest
- Configurable, and configuration can live in many places including
- Great docs
- Rule reference with anti-pattern/best practice format
- Includes dialects for ANSI, PostgreSQL, MySQL, Teradata, BigQuery, Snoflake
- Note in docs: “SQLFluff is still in an open alpha phase - expect the tool to change significantly over the coming months, and expect potentially non-backward compatible api changes to happen at any point.”
Michael #2: JupyterLab Desktop
- JupyterLab App is the cross-platform standalone application distribution of JupyterLab.
- Bundles a Python environment with several popular Python libraries ready to use in scientific computing and data science workflows.
- JupyterLab App works on Debian and Fedora based Linux, macOS and Windows operating systems.
Ethan #3: Requests Cache
- Create a requests_cache session and call HTTP methods from there
- You can also do it without a session but that’s a bit weird, looks like it’s monkey patching requests or something…
- Results are cached
- Very handy for repeatedly calling endpoints
- especially if the returned data is large, or the server has to do some compute
- Reminds me of @functools.lru_cache
- Can set things like how long the cache should last (when to invalidate)
- Funny easter egg in example: “# Cache 400 responses as a solemn reminder of your failures”
Brian #4: pypi-rename
- This is a cookiecutter template from Simon Willison
- To refresh my memory on how to publish a new package with flit I created a new pytest plugin.
- Brian Skinn noticed it somehow, and suggested a better name. Thanks Brian.
- So, how to nicely rename. I searched and found Simon’s template, which is…
- A cookiecutter template. So you can use cookiecutter to do some of this work for you.
- But it’s based on setuptools, and I kinda like flit lately, so I just used the instructions.
- The README.md includes instructions for the steps needed:
- Create renamed version
- Publish under new name
- Change old one to depend on new one, but be mostly empty
- Modify readme to tell people what's going on
- Publish old name as a notice
- Now people looking for old one will find new one.
- People just installing old one will end up with new one also since it’s a dependency.
Michael #5: Django 4 coming with Redis Adapter
- #33012 closed New feature (fixed) → Add a Redis cache backend.
- Adds support for Redis to be used as a caching backend with Django.
- Redis is the most popular caching backend, adding it to django.core.cache module would be a great addition for developers who previously had to rely on the use of third party packages.
- It will be simpler than that provided by
django-redis, for instance customising the serialiser is out-of-scope for the initial pass.
Ethan #6: PEP 612
- It wasn’t possible to type a function that took in a function and returned a function with the same signature (which is what many decorators do)
- This creates a ParamSpec – which is much like a TypeVar, for anyone who has used them to type generic functions/classes
- It’s a reminder that typing is still missing features and evolving, and it’s good to accept the edge cases for now – “gradual typing”
- Reading Fluent Python by Ramalho has influenced my view on this – don’t lose your mind trying to type crazy stuff, just accept that it’s “gradual”
- Mention how typing is still evolving in Python and it’s good to keep an eye out for new features that help you (see also PEP 645 – using
Optional[int]; and PEP 655 – annotating some TypedDict keys as required and others not required)
- Django Critical CVE: CVE-2021-35042
- Vulnerable versions: >= 3.0.0, < 3.1.13
- Patched version: 3.1.13
- Django 3.1.x before 3.1.13 and 3.2.x before 3.2.5 allows QuerySet.order_by SQL injection if order_by is untrusted input from a client of a web application.
- I happened upon this project recently and checked back, only to see that Brett Cannon was the last committer! A doc fix, like he suggested last episode
- Zero Cost Exceptions in Python 3.11
- Suggested by John Hagen
- Guido, Mark Shannon, and others at Microsoft are working on speeding up Python
- faster-cpython/ideas repo includes a slide deck from Guido which includes “Zero overhead” exception handling.
- Python 3.11 “What’s New” page, Optimizations section includes:
- “Zero-cost” exceptions are implemented. The cost of
trystatements is almost eliminated when no exception is raised. (Contributed by Mark Shannon in bpo-40222.)
- MK: I played with this a bit.
Joke: QA 101