snakemake
awesome-python
snakemake | awesome-python | |
---|---|---|
2 | 86 | |
2,115 | 205,996 | |
1.5% | - | |
9.7 | 7.0 | |
6 days ago | 2 days ago | |
HTML | 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.
snakemake
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My Hacktoberfest journey with Appwrite
Last year, my pull requests were on my own projects: two to for my Apple Watch telemetry recording app, one was for a workout Watch app, and the third was for the research project I was working on at the moment (this paper has since been published, "The origins and genetic interactions of KRAS mutations are allele- and tissue-specific" and the code is open source). This year, in order to enhance my learning, I challenged myself to contribute to others' projects. In my opinion, I have been quite successful with contributions to Fig, tldr, snakemake, and pymc3-examples. In addition, I have also taken up the challenge of learning about Appwrite, one of the sponsors of this year's Hacktoberfest, and producing educational content about the service. (With some encouragement by the offer of free stickers 🙃) I found this a great opportunity to learn about an essential world of programming that I had yet to deal with: backend services.
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We hand-picked the best Python libraries released in 2020
If you’re into data science, have you taken a look at Snakemake? I came across this quite recently, and now, I’m wondering why I hadn’t used it before (it really would’ve come in handy to automate a few data-wrangling processes).
awesome-python
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Top 10 GitHub Repositories for Python and Java Developers
8. Vinta/Awesome-python - This repository is a curated list of top Python frameworks, libraries, and tools for a variety of purposes. It's a must-visit for any developer looking to expand their Python skills and discover new resources. https://github.com/vinta/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
What are some alternatives?
DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
Qtile-Config - This is my configuration of Qtile, a window manager written in python.
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.
pydantic-cli - Turn Pydantic defined Data Models into CLI Tools
Pyadomd - A pythonic approach to query SSAS data models.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
autocomplete - IDE-style autocomplete for your existing terminal & shell
temporal - Temporal service
Box - Python dictionaries with advanced dot notation access