dart-sass
mypy
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dart-sass | mypy | |
---|---|---|
21 | 112 | |
3,795 | 17,541 | |
1.3% | 1.4% | |
8.7 | 9.7 | |
2 days ago | 1 day ago | |
Dart | Python | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dart-sass
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Solution of "Can't find Python executable 'python'" Node Error
PS: You can use normal sass package today instead of node-sass.
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The road to Dart 3: A fully sound, null safe language
The main sass implementation is in dart https://github.com/sass/dart-sass, which I think is dumb because it's a fair amount slower than the old libsass written in C.
The reason they spouted was due to "Low developer resources" due to the difficulty of C, so they swapped to a language pretty much only used by Googlers. Google now has control of sass, which then gives them greater influence (even greater than just having browser majority) over CSS Spec choices (see CSS Nesting spec).
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How do I download something from github so I am able to use the commands it provides?
wget https://github.com/sass/dart-sass/releases/download/1.52.3/dart-sass-1.52.3-linux-x64.tar.gz
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Is tailwind used in real world when working at companies?What do you use to style your website
dart-sass
- Are there any in-browser libraries to turn scss into css?
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What kind of stuff can one build with Dart(other than flutter apps)?
The first project that comes to mind is Sass, a very popular CSS preprocessor, https://github.com/sass/dart-sass
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Why you don't have to commit node_modules folder
Some packages are platform dependent. For example, development tools, such as dart-sass.
- Почему не надо коммитить папку node_modules
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Configuring TravisCI for phoenix with dart-sass
before_install: - rvm install 'ruby-3.0.0' - curl -L https://github.com/sass/dart-sass/releases/download/1.49.10/dart-sass-1.49.10-linux-x64.tar.gz > dart-sass-1.49.10-linux-x64.tar.gz - tar -xvf dart-sass-1.49.10-linux-x64.tar.gz - echo 'export PATH="$PATH:$HOME/build/amco/contentinator/dart-sass:$PATH"' >> ~/.bashrc
- Examples of “beautiful” dart code
mypy
- The GIL can now be disabled in Python's main branch
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Polars – A bird's eye view of Polars
It's got type annotations and mypy has a discussion about it here as well: https://github.com/python/mypy/issues/1282
- Static Typing for Python
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Python 3.13 Gets a JIT
There is already an AOT compiler for Python: Nuitka[0]. But I don't think it's much faster.
And then there is mypyc[1] which uses mypy's static type annotations but is only slightly faster.
And various other compilers like Numba and Cython that work with specialized dialects of Python to achieve better results, but then it's not quite Python anymore.
[0] https://nuitka.net/
[1] https://github.com/python/mypy/tree/master/mypyc
- Introducing Flask-Muck: How To Build a Comprehensive Flask REST API in 5 Minutes
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WeveAllBeenThere
In Python there is MyPy that can help with this. https://www.mypy-lang.org/
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It's Time for a Change: Datetime.utcnow() Is Now Deprecated
It's funny you should say this.
Reading this article prompted me to future-proof a program I maintain for fun that deals with time; it had one use of utcnow, which I fixed.
And then I tripped over a runtime type problem in an unrelated area of the code, despite the code being green under "mypy --strict". (and "100% coverage" from tests, except this particular exception only occured in a "# pragma: no-cover" codepath so it wasn't actually covered)
It turns out that because of some core decisions about how datetime objects work, `datetime.date.today() < datetime.datetime.now()` type-checks but gives a TypeError at runtime. Oops. (cause discussed at length in https://github.com/python/mypy/issues/9015 but without action for 3 years)
One solution is apparently to use `datetype` for type annotations (while continuing to use `datetime` objects at runtime): https://github.com/glyph/DateType
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What's New in Python 3.12
PEP 695 is great. I've been using mypy every day at work in last couple years or so with very strict parameters (no any type etc) and I have experience writing real life programs with Rust, Agda, and some Haskell before, so I'm familiar with strict type systems. I'm sure many will disagree with me but these are my very honest opinions as a professional who uses Python types every day:
* Some types are better than no types. I love Python types, and I consider them required. Even if they're not type-checked they're better than no types. If they're type-checked it's even better. If things are typed properly (no any etc) and type-checked that's even better. And so on...
* Having said this, Python's type system as checked by mypy feels like a toy type system. It's very easy to fool it, and you need to be careful so that type-checking actually fails badly formed programs.
* The biggest issue I face are exceptions. Community discussed this many times [1] [2] and the overall consensus is to not check exceptions. I personally disagree as if you have a Python program that's meticulously typed and type-checked exceptions still cause bad states and since Python code uses exceptions liberally, it's pretty easy to accidentally go to a bad state. E.g. in the linked github issue JukkaL (developer) claims checking things like "KeyError" will create too many false positives, I strongly disagree. If a function can realistically raise a "KeyError" the program should be properly written to accept this at some level otherwise something that returns type T but 0.01% of the time raises "KeyError" should actually be typed "Raises[T, KeyError]".
* PEP 695 will help because typing things particularly is very helpful. Often you want to pass bunch of Ts around but since this is impractical some devs resort to passing "dict[str, Any]"s around and thus things type-check but you still get "KeyError" left and right. It's better to have "SomeStructure[T]" types with "T" as your custom data type (whether dataclass, or pydantic, or traditional class) so that type system has more opportunities to reject bad programs.
* Overall, I'm personally very optimistic about the future of types in Python!
[1] https://github.com/python/mypy/issues/1773
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Mypy 1.6 Released
# is fixed: https://github.com/python/mypy/issues/12987.
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Ask HN: Why are all of the best back end web frameworks dynamically typed?
You probably already know but you can add type hints and then check for consistency with https://github.com/python/mypy in python.
Modern Python with things like https://learnpython.com/blog/python-match-case-statement/ + mypy + Ruff for linting https://github.com/astral-sh/ruff can get pretty good results.
I found typed dataclasses (https://docs.python.org/3/library/dataclasses.html) in python using mypy to give me really high confidence when building data representations.
What are some alternatives?
node-sass - :rainbow: Node.js bindings to libsass
pyright - Static Type Checker for Python
esbuild - An installer for esbuild
ruff - An extremely fast Python linter and code formatter, written in Rust.
Flutter - Flutter makes it easy and fast to build beautiful apps for mobile and beyond
pyre-check - Performant type-checking for python.
react-ssr-starter - 🔥 ⚛️ A React boilerplate for a universal web app with a highly scalable, offline-first foundation and our focus on performance and best practices.
black - The uncompromising Python code formatter
shelf - Web server middleware for Dart
pytype - A static type analyzer for Python code
Tailwind CSS - A utility-first CSS framework for rapid UI development.
pydantic - Data validation using Python type hints