sdk-for-python
snakemake
sdk-for-python | snakemake | |
---|---|---|
2 | 2 | |
207 | 2,115 | |
3.9% | 1.2% | |
7.4 | 9.7 | |
about 1 month ago | 2 days ago | |
Python | HTML | |
BSD 3-clause "New" or "Revised" 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.
sdk-for-python
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Appwrites Avatars Service
Sure, I’ll teach through a few examples how to send requests using Server Integrated with Python SDK. To learn how to using Appwrite python SDK check this out https://github.com/appwrite/sdk-for-python
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My Hacktoberfest journey with Appwrite
It took some playing around with simple code, but I eventually got the hang of making read and write requests through Appwrite's Python SDK. The GUI Console from Appwrite makes this trial-and-error process much easier than just blindly guessing at bugs. I could make a write request and actually see the results. Also, I could make a filtered query and ensure that all of the correct results were returned.
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?
SwiftBar - Powerful macOS menu bar customization tool
DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
pymc-examples - Examples of PyMC models, including a library of Jupyter notebooks.
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
pydantic - Data validation using Python type hints
pydantic-cli - Turn Pydantic defined Data Models into CLI Tools
awesome-appwrite - Carefully curated list of awesome Appwrite resources 💪
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
kras-allele-genetic-interactions - A genetic study of the allele- and tissue- specific interactions of the KRAS alleles.
autocomplete - IDE-style autocomplete for your existing terminal & shell
coffee-counter-appwrite-demo - A demonstration of using an Appwrite backend for a Coffee Counting app.
temporal - Temporal service