glacier
snakemake
glacier | snakemake | |
---|---|---|
2 | 2 | |
94 | 2,115 | |
- | 1.2% | |
3.9 | 9.7 | |
11 months ago | 3 days ago | |
Python | HTML | |
MIT License | MIT License |
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.
glacier
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Has anyone else adopted shell scripting over python where possible?
PS: people started posting interesting hacks. Here's some of mine: - Easily give Python scripts a nice CLI: [python fire](1https://google.github.io/python-fire/guide/) and glacier! - set + and set - in bash: toggle the script to crash if the exit code is something other than zero - trap cleanup EXIT in bash: run the cleanup function whenever the script exits
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We hand-picked the best Python libraries released in 2020
Or glacier!
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).
What are some alternatives?
mod-pbxproj - A python module to manipulate XCode projects
DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
Python Fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
pydantic-cli - Turn Pydantic defined Data Models into CLI Tools
cmdkit - A library for developing command-line applications in Python.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
autocomplete - IDE-style autocomplete for your existing terminal & shell
fork-purger - Delete all of your forked repositories on Github
temporal - Temporal service