If you’re into interesting projects, don’t miss out on Recreation-of-Nature [1], created by Kashu7100 [2].
ALife simulation with Python: patterns, behavior, and cognition.
References:
[1]: https://github.com/Kashu7100/Recreation-of-Nature
[2]: https://github.com/Kashu7100
Publishing rhythm
I’m impressed by bake [1] from kennethreitz [2].
Bake — the strangely familiar workflow utility.
References:
[1]: https://github.com/kennethreitz/bake
[2]: https://github.com/kennethreitz
Check out terminal [1] by microsoft [2]. It’s a well-crafted project with great potential.
The new Windows Terminal and the original Windows console host, all in the same place!
References:
[1]: https://github.com/microsoft/terminal
[2]: https://github.com/microsoft
If you’re into interesting projects, don’t miss out on starship [1], created by starship [2].
☄🌌️ The minimal, blazing-fast, and infinitely customizable prompt for any shell!
References:
[1]: https://github.com/starship/starship
[2]: https://github.com/starship
alttch [1] has done a fantastic job with rapidtables [2]. Highly recommend taking a look.
Super fast list of dicts to pre-formatted tables conversion library for Python 2/3
References:
[1]: https://github.com/alttch
[2]: https://github.com/alttch/rapidtables
If you’re into interesting projects, don’t miss out on psutil [1], created by giampaolo [2].
Cross-platform lib for process and system monitoring in Python
References:
[1]: https://github.com/giampaolo/psutil
[2]: https://github.com/giampaolo
If you’re into interesting projects, don’t miss out on promote-open-source-project [1], created by zenika-open-source [2].
📄 How to promote my open source project?
References:
[1]: https://github.com/zenika-open-source/promote-open-source-project
[2]: https://github.com/zenika-open-source
Check out watchtower [1] by kislyuk [2]. It’s a well-crafted project with great potential.
Python CloudWatch Logging: Log Analytics and Application Intelligence
References:
[1]: https://github.com/kislyuk/watchtower
[2]: https://github.com/kislyuk
I recently discovered arrow [1] by apache [2], and it’s truly impressive.
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
References:
[1]: https://github.com/apache/arrow
[2]: https://github.com/apache
Just starred shell-functools [1] by sharkdp [2]. It’s an exciting project with a lot to offer.
Functional programming tools for the shell
References:
[1]: https://github.com/sharkdp/shell-functools
[2]: https://github.com/sharkdp
Looking for inspiration? Jupyter-Atom-Dark-Theme [1] by burglarbenson [2].
A dark theme for Jupyter Lab
References:
[1]: https://github.com/burglarbenson/Jupyter-Atom-Dark-Theme
[2]: https://github.com/burglarbenson
tarpas [1] has done a fantastic job with pytest-testmon [2]. Highly recommend taking a look.
Selects tests affected by changed files. Executes the right tests first. Continuous test runner when used with pytest-watch.
References:
[1]: https://github.com/tarpas
[2]: https://github.com/tarpas/pytest-testmon
If you’re into interesting projects, don’t miss out on vim-flog [1], created by rbong [2].
A blazingly fast, stunningly beautiful, exceptionally powerful git [3] branch viewer for Vim/Neovim.
References:
[1]: https://github.com/rbong/vim-flog
[2]: https://github.com/rbong
[3]: /glossary/git/
I like mcfunley’s [1] project pugsql [2].
A HugSQL-inspired database library for Python
References:
[1]: https://github.com/mcfunley
[2]: https://github.com/mcfunley/pugsql
I like ggreer’s [1] project the_silver_searcher [2].
A code-searching tool similar to ack, but faster.
References:
[1]: https://github.com/ggreer
[2]: https://github.com/ggreer/the_silver_searcher
Just starred kedro [1] by kedro-org [2]. It’s an exciting project with a lot to offer.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
References:
[1]: https://github.com/kedro-org/kedro
[2]: https://github.com/kedro-org
Check out forestryio [1] and their project forestry.io [2].
Forestry.io website
References:
[1]: https://github.com/forestryio
[2]: https://github.com/forestryio/forestry.io
Check out maildown [1] by chris104957 [2]. It’s a well-crafted project with great potential.
A super simple CLI for sending emails
References:
[1]: https://github.com/chris104957/maildown
[2]: https://github.com/chris104957
Just starred eslint-config-wesbos [1] by wesbos [2]. It’s an exciting project with a lot to offer.
No-Sweat™ Eslint and Prettier Setup - with or without VS Code
References:
[1]: https://github.com/wesbos/eslint-config-wesbos
[2]: https://github.com/wesbos
Check out ydataai [1] and their project ydata-profiling [2].
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
References:
[1]: https://github.com/ydataai
[2]: https://github.com/ydataai/ydata-profiling