thank you for the history lesson
trio and anyio fixes that
One phrase not found in the article, colored functions
thank you for the history lesson
trio and anyio fixes that
One phrase not found in the article, colored functions
This is a Linux post. Has nothing to do with Python
Free threaded came on the scene and packages slowly added support. So there is a will to gravitate towards and adopt what works. Albeit gradually.
I prefer typing_extensions over typing and collections.abc
With typing_extensions, new features are always backported. With Python features, have to continuously upgrade Python. Whatever you upgrade to is already guaranteed to be very temporary. It's much easier to upgrade a package.
For the same reasoning would prefer Trio over asyncio.TaskGroup.
Which leads to the question Trio vs asyncio.TaskGroup?
asyncio.TaskGroup is a py311 feature with context kwarg added in 3.13. The documentation is very terse and i'm unsure what guarantees it has, besides strong. Missed opportunity. Could have used the adjective, Mickey mouse. Both are essentially the same, useless.
Having to upgrade to 3.13 is what i call failure to backport or simply, failure or that's what failure looks like.
Give a free pass to free threading, but everything else, no!
Having to upgrade Python to have access to sane structured concurrency is silly. Have the exact same complaints about Package Managers.
!r
is a thing
!s
is a thing
There is some syntax for formatting a float which will completely be forgotten that'll have to be looked up.
There is nothing else worth knowing.
Now lets moan and complain about something actually important. Like repos with languishing PRs, like SQLModel.
Upvote for the sanity check.
As the OP mentioned, this is a proposed/draft feature that may or may not ever happen.
With these kinda posts, should start a betting pool. To put money down on whether this feature sees the light of day within an agreed upon fixed time frame.
Why the commercial license for pngquant? Maybe rewriting pngcrush IP and slapping a commercial license on it is copyright infringement. This is my impression of Rust. Take others IP, rewrite it in Rust, poof copyright magically transferred. The C99 version how much of that is from prior art?
Lets just ignore prior art and associated license terms
written by Kornel Lesiński
ImageOptim Ltd. registered in England and Wales under company number 10288649 whose registered office is at International House, 142 Cromwell Road, London, England, SW7 4EF
First commit Sep 17th, 2009
Copyright (C) 1998-2002, 2006-2016 Glenn Randers-Pehrson
glennrp at users.sf.net
Portions copyright (C) 2005 Greg Roelofs
i'm a fan of ladies with complete test coverage
but i'm ok with those who are a fan of type inference.
More ladies for me
Oh btw there are three choices, not two.
stdlib dataclasses
pydantic dataclasses
SQLModel mixin
pydantic underneath (pydantic-base) is written in Rust. fastapi is fast cuz of pydantic. fastapi is extremely popular. Cuz it's right there in the word, fast. No matter how crap the usability is, the word fast will always win.
If fastapi is fast then whatever is not fastapi is slow. And there is no convincing anyone otherwise so lets not even try.
Therefore lets do fast. Cuz we already agreed slow would be bad.
normal dataclasses is not fast and therefore it's bad. If it had a better marketing team this would be a different conversation.
SQLModel combines pydantic and SQLAlchemy.
At first i feel in love with the SQLModel docs. Then realized the eye wateringly beautiful docs are missing vital details, such as how to:
create a Base without also creating a Model table
overload __tablename__ algo from the awful default cls.__name__.lower()
support multiple databases each containing the same named table
#2 is particularly nasty. SQLModel.__new__ implementation consists of multiple metaclasses. So subclasses always inherit that worthless __tablename__ implementation. And SQLAlchemy applies three decorators, so figuring out the right witchcraft to create the Descriptor is near impossible. pydantic doesn't support overriding __tablename__
Then i came along
After days of, lets be honest, hair loss and bouts of heavy drinking, posted the answer here.
Required familiarity with pydantic, sqlalchemy, and SQLModel.
There is an expression, Linux isn't free it costs you your time
. Which might be a counter argument against always using only what is built in.
I'm super guilty of reinventing the wheel. But writing overly verbose code isn't fun either. Never seem to get very far.
people are forced to install dependencies
This ^^.
If possible, Python dependency management is a burden would prefer to avoid. Until can't, then be skilled at it!
disclosure: i use/wrote wreck for Python dependency management.
Compiled languages should really live within containers. At all cost, would like to avoid time consuming system updates! I can no longer install C programs cuz on OS partition ran out of hard disk space. Whereas Python packages can be installed on data storage partitions.
for Python, I usually deliver the script as a single .py file I'm sure you are already aware of this. So forgive me if this is just being Captain Obvious.
Even if the deliverable is a single .py file, there is support for specifying dependencies within module level comment block. (i forget the PEP #).
I don’t like that (unless its a shell script, but that is by its nature a dependency hell) You and i could bond over a hatefest on shell scripts, but lets leave this as outside the discussion scope
And your argument As the complexity of a .py script grows, very quickly, comes to a point the deliverable becoming a Python package. With the exceptions being projects which are: external language, low level, or simple. This .py script nonsense does not scale and is exceedingly rare to encounter. May be an indication of a old/dated or unmaintained project.
From a random venv, installed scripts:
_black_version.py
appdirs.py
cfgv.py
distutils-precedence.pth
mccabe.py
mypy_extensions.py
nodeenv.py
packaging_legacy_version.py
pip_requirements_parser.py
py.py
pycodestyle.py
pyi.py
six.py
typing_extensions.py
ok fine lets talk about this Linux distro
Don't want to be a package manager database on my off hours. Why is having users manage every transitive dependency a good design?
I'm asking i really don't understand the merits of adopting this heavy burden