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#322 Python Packages, Let Me Count The Ways - Publication Date |
- Feb 07, 2023
- Episode Duration |
- 00:46:40
Watch on YouTube
About the show
Sponsored by Microsoft for Startups Founders Hub.
Connect with the hosts
Join us on YouTube at pythonbytes.fm/stream/live to be part of the audience. Usually Tuesdays at 11am PT. Older video versions available there too.
Brian #1: Packaging Python Projects
- Tutorial from PyPA
- This is a really good starting point to understand how to share Python code through packaging.
- Includes discussion of
- directory layout
- creating package files, LICENSE, pyproject.toml, README.md, tests and src dir
- how to fill out
build-system
section of pyproject.toml
- using either hatchling, setuptools, flit, or pdm as backends
- metadata
- using
build
to generate wheels and tarballs
- uploading with
twine
- However
- Further discussion later in the show
Michael #2: untangle xml
Access the document:
obj.root.child['name'] # u'child1'
Calvin #3: lang.blogspot.com/2023/02/mypy-10-released.html">Mypy 1.0 Released
- Mypy is a static type checker for Python, basically a Python linter on steroids
- Started in 2012 and developed by a team at Dropbox lead by https://github.com/JukkaL
- What’s New?
- New Release Numbering Scheme
- not using symver
- Significant backward incompatible changes will be announced in the blog post for the previous feature release
- feature flags will allow users to upgrade and turn on the new behavior
- Mypy 1.0 is 40% faster than 0.991 against the Dropbox internal codebase
- 20 optimizations included in this release
- Mypy now warns about errors used before definition or possibly undefined variables
- for example if a variable is used outside of a block of code that may not execute
- Mypy now supports the new
Self
type introduced in PEP 673 and Python 3.11
- Support
ParamSpec
in Type Aliases
- Also,
ParamSpec
and Generic Self
types are no loner experimental
- Lots of Miscellaneous New Features
- Fixes to crashes
- Support for compiling Python
match
statements introduced in Python 3.10
Brian #4: Thoughts on the Python packaging ecosystem
- Pradyun Gedam
- Some great background on the internal tension around packaging.
- Brian’s note: in the meantime
- people are struggling to share Python code
- the “best practice” answer seems to shift regularly
- this might be healthy to arrive at better tooling in the long term, but in the short term, it’s hurting us.
- From the article:
- The Python packaging ecosystem unintentionally became the type of competitive space that it is today.
- The community needs to make an explicit decision if it should continue operating under the model that led to status quo.
- Pick from N different tools that do N different things is a good model.
- Pick from N ~equivalent choices is a really bad user experience.
- Picking a default doesn’t make other approaches illegal.
- Communication about the Python packaging ecosystem is fragmented, and we should improve that.
- Pradyun: “Many of the users who write Python code are not primarily full-time software engineers or “developers”.”
- from Thea: “The reason there are so many tools for managing Python dependencies is because Python is not a monoculture and different folks need different things.”
- opening up the build backend through pyproject.toml-based builds was good
- but the fracturing of multiple “workflow” tools seems bad.
- “I am certain that it is not possible to create a single “workflow” tool for Python software. What we have today, an ecosystem of tooling where each makes different design choices and technical trade-offs, is a part of why Python is as widespread as it is today. This flexibility and availability of choice is, however, both a blessing and a curse.”
- On building a default workflow tool around pip
- There’s tension between “we need a default workflow tool” and “unix philosophy: many focused tools that can work together”.
Michael #5: Top PyPI Packages
- A monthly dump of the 5,000 most-downloaded packages from PyPI.
- Also, a full copy of PyPI info too: github.com/orf/pypi-data
Calvin #6: SQLAlchemy 2.0 Released
- #57 on the Top PyPI Packages 😸
- Will be giving a SQLAlchemy tutorial at Python Web Conf
- What’s New?
- Significant API change from 1.4
- You’ll want to follow the migration guide and see also the what’s new in 2.0 guide
- Fully takes advantage of Python 3 features such as dataclasses, enums and inline annotations
- Typing support in Core and ORM, but still should be considered beta
-
all SQLAlchemy stubs packages must be uninstalled all SQLAlchemy stubs packages must be uninstalled for typing to work
-
Mypy Plugin is considered deprecated now
- Major speed increase in the all new fully ORM-integrated bulk
INSERT
s
- sorry if you are on MySQL, they don’t support
INSERT RETURNING
yet
- but MariaDB does support this
- All new bulk optimized schema reflection architecture
- Currently enabled for PostgreSQL and Oracle
- 250% perf increase for Postgres
- 900% per increase for Oracle
- Native extensions ported to Cython
- C extensions have been replaced by Cython
- Benchmarks as fast or sometimes faster than the previous C extensions
- Removes some risk of memory or stability issues introduced by C
- SQLAlchemy is now pep-517 enabled and has a
pyproject.toml
at the root
- means that local source building with
pip
can auto install the Cython dependancy
Extras
Brian:
- Nothing to share yet, but I’m building a new alternative Python build backend.
- which if course will be followed with a new workflow tool that follows “my workflow”.
Michael:
Calvin:
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