abseil-py
awesome-python
abseil-py | awesome-python | |
---|---|---|
1 | 85 | |
2,220 | 205,414 | |
0.9% | - | |
6.6 | 7.0 | |
about 2 months ago | 14 days ago | |
Python | Python | |
Apache License 2.0 | 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.
abseil-py
-
Reflecting on the Shake Build System
> Sounds a lot like Nix's philosophy of totally sandboxed/declarative package builds
They are similar but I think of Nix as being closer to Dockerfiles than to Bazel. Nix describes how to compose and build things, of multiple build systems, in a unixy environment. It sandboxes things and runs commands in those things like `make install` and then pulls the files those commands generates out and uses them for other things. This is very close to how people use Dockerfiles but very different to how someone would go about using Bazel. Bazel's main selling points are that it allows you to describe how your software is built by using application level concepts. Bazel has `library`, `binary`, and `test`. Regardless of what the language we're talking about any two programmers will probably know what these high level concepts mean and, due to conventions in rules, any developer - regardless if they have experience in the language in question - can understand what is going on.
Bazel is also much finer grained than something like Nix. For example, the NixPkg for abseil-py is defined here: https://github.com/NixOS/nixpkgs/blob/nixos-21.05/pkgs/devel...
The BUILD files for abseil-py are found in the repo. Something you'll notice is that there isn't a single build target for all of abseil-py. Instead, each python module or "library" has it's own target: https://github.com/abseil/abseil-py/blob/master/absl/BUILD#L...
This allows for some cool stuff when deploying your software. Suppose you import just the flags module from this repo. That means that your built `py_binary` artifact will only contain just the modules that you're actually importing. You can also see the dependancy graph for all of your source code by talking to Bazel's query API. Find a bug in a library? You can now instantly query every single `binary` that those source files went into without false positives. That's just an example of something you may want to do but really you now have a way to query the dep graph for all languages and tools so the sky is the limit.
> instead of needing a monorepo with every piece of software you can just grab a reproducible build from nixpkgs
You also don't need a monorepo for Bazel to work. You can use `http_archive` or `git_repository` to load specific WORKSPACEs. For example: https://abseil.io/docs/cpp/quickstart#set-up-a-bazel-workspa...
Also bzlmod is being worked on (a package manager that automates this stuff). This also has provisions for running all of the `_test` targets on deps after they're compiled by your toolchain and on your hardware. This validates that all importing and compiling worked as expected (which most build systems can't accommodate).
awesome-python
-
How I do technology watch
Python: https://github.com/vinta/awesome-python
-
Top 10 GitHub Repositories Every Developer Should Bookmark in 2024
6) Awesome Python: Embrace the power of Python with this extensive collection of awesome libraries, frameworks, resources, and software. Whether you're a seasoned Pythonista or just starting your journey, this repository is your ultimate guide to maximizing the potential of this versatile language. (https://github.com/vinta/awesome-python)
-
Good coding groups for black women?
- https://github.com/vinta/awesome-python
-
Top GitHub Resources to Level Up Your Python game
🎇 Repository Link: Awesome Python
- GitHub - vinta/awesome-python: A curated list of awesome Python frameworks, libraries, software and resources
-
10 Github repositories to achieve Python mastery
Explore here.
-
Alternatives?
I know of curated lists like https://github.com/vinta/awesome-python but they are nowhere close to alternativeto.net in terms of information (relations) and community involvement.
- Help me out.
-
Ask HN: Best place/resource to learn metaprogramming in Python
https://github.com/vinta/awesome-python
-
Which MATLAB course to take for undecided
There are a lot of python packages for engineering and scientific applications (as well as other applications in general, and, thanks to the inherently collaborative nature of free software, they are only growing in quantity and quality. Many MATLAB toolboxes already have Python equivalents.
What are some alternatives?
dbx_build_tools - Dropbox's Bazel rules and tools
Qtile-Config - This is my configuration of Qtile, a window manager written in python.
pywinauto - Windows GUI Automation with Python (based on text properties)
VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.
python-benchmark-harness - A micro/macro benchmark framework for the Python programming language that helps with optimizing your software.
Pyadomd - A pythonic approach to query SSAS data models.
constellations - A python project dedicated to merging the worlds of flag design and data visualization!
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
Box - Python dictionaries with advanced dot notation access
timebudget - Stupidly-simple speed measurements for Python.
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.