awesome-python
timebudget
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| awesome-python | timebudget | |
|---|---|---|
| 85 | 1 | |
| 204,784 | 156 | |
| - | - | |
| 7.1 | 0.0 | |
| 8 days ago | almost 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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.
awesome-python
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How I do technology watch
Python: https://github.com/vinta/awesome-python
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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)
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Good coding groups for black women?
- https://github.com/vinta/awesome-python
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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
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10 Github repositories to achieve Python mastery
Explore here.
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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.
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Ask HN: Best place/resource to learn metaprogramming in Python
https://github.com/vinta/awesome-python
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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.
timebudget
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I am a proficient Python coder whose learning has plateaued. Any really useful libraries I should look into learning? Taking recommendations.
And here are some libraries that might pique your interest although they don't strictly answer your question: - tqdm for adding a progress bar on for loops (it comes with useful information like iteration per second and estimated time needed to finish) - alive_progress adds a progress bar like tqdm, but it works even with generators and while loops which I don't think tqdm does. -timebudget, with just a decorator as soon as a function is completed it prints the time taken to execute it - send2trash for sending files to the trash bin instead of permanently deleting them - keyboard for sending keyboard inputs or check if a key is pressed - mouse same as keyboard but with mouse buttons - textract for extracting text from many types of file with a single interface. It supports documents, powerpoint presentations, csv, excels, images, gifs, audio, and many more
What are some alternatives?
Qtile-Config - This is my configuration of Qtile, a window manager written in python.
algorithms - Minimal examples of data structures and algorithms in Python
VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.
best-of-python - 🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.
Pyadomd - A pythonic approach to query SSAS data models.
alive-progress - A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Box - Python dictionaries with advanced dot notation access
DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
tqdm - :zap: A Fast, Extensible Progress Bar for Python and CLI
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).