I’m really excited about awesome-podcasts [1], an amazing project by pbnj [2]. It’s worth exploring!
🎙 A collection of awesome engineering podcasts! ARCHIVED in favor of https://github.com/rShetty/awesome-podcasts
References:
[1]: https://github.com/pbnj/awesome-podcasts
[2]: https://github.com/pbnj
Today I Learned
Short TIL posts
1852 posts
latest post 2026-05-13
Publishing rhythm
Looking for inspiration? hugs [1] by Bogdanp [2].
Hugs lets you map SQL expressions to Python functions.
References:
[1]: https://github.com/Bogdanp/hugs
[2]: https://github.com/Bogdanp
I’m really excited about grip [1], an amazing project by joeyespo [2]. It’s worth exploring!
Preview GitHub README.md files locally before committing them.
References:
[1]: https://github.com/joeyespo/grip
[2]: https://github.com/joeyespo
psf [1] has done a fantastic job with black [2]. Highly recommend taking a look.
The uncompromising Python code formatter
References:
[1]: https://github.com/psf
[2]: https://github.com/psf/black
tfeldmann [1] has done a fantastic job with organize [2]. Highly recommend taking a look.
The file management automation tool.
References:
[1]: https://github.com/tfeldmann
[2]: https://github.com/tfeldmann/organize
I recently discovered albinotonnina.com [1] by albinotonnina [2], and it’s truly impressive.
source-code
References:
[1]: https://github.com/albinotonnina/albinotonnina.com
[2]: https://github.com/albinotonnina
I like psf’s [1] project requests-html [2].
Pythonic HTML [3] Parsing for Humans™
References:
[1]: https://github.com/psf
[2]: https://github.com/psf/requests-html
[3]: /html/
Check out CSS-Mono [1] by wentin [2]. It’s a well-crafted project with great potential.
Monospaced Typeface Created for CSS Coding
References:
[1]: https://github.com/wentin/CSS-Mono
[2]: https://github.com/wentin
I’m impressed by pc [1] from dixler [2].
python calculator purely aesthetic. probably pretty glitchy. sorry in advance.
References:
[1]: https://github.com/dixler/pc
[2]: https://github.com/dixler
The work on dataset [1] by openimages [2].
The Open Images dataset
References:
[1]: https://github.com/openimages/dataset
[2]: https://github.com/openimages
I’m impressed by panda-theme-cmder [1] from HamidFaraji [2].
Panda Syntax Theme for Cmder
References:
[1]: https://github.com/HamidFaraji/panda-theme-cmder
[2]: https://github.com/HamidFaraji
I’m impressed by awesome-python-talks [1] from jhermann [2].
🎬 🎓 An opinionated list of awesome videos related to Python, with a focus on training and gaining hands-on experience.
References:
[1]: https://github.com/jhermann/awesome-python-talks
[2]: https://github.com/jhermann
Looking for inspiration? datacamp_facebook_live_titanic [1] by datacamp [2].
DataCamp Facebook Live Code Along Session 2: Learn how to complete a Kaggle competition using exploratory data analysis, data munging, data cleaning and machine leaning. Enjoy.
References:
[1]: https://github.com/datacamp/datacamp_facebook_live_titanic
[2]: https://github.com/datacamp
I’m really excited about standard-readme [1], an amazing project by RichardLitt [2]. It’s worth exploring!
A standard style for README files
References:
[1]: https://github.com/RichardLitt/standard-readme
[2]: https://github.com/RichardLitt
Check out lepture [1] and their project python-livereload [2].
livereload server in python
References:
[1]: https://github.com/lepture
[2]: https://github.com/lepture/python-livereload
I recently discovered tqdm [1] by tqdm [2], and it’s truly impressive.
⚡ A Fast, Extensible Progress Bar for Python and CLI
References:
[1]: https://github.com/tqdm/tqdm
[2]: https://github.com/tqdm
I’m really excited about cmder [1], an amazing project by cmderdev [2]. It’s worth exploring!
Lovely console emulator package for Windows
References:
[1]: https://github.com/cmderdev/cmder
[2]: https://github.com/cmderdev
I recently discovered setup.py [1] by navdeep-G [2], and it’s truly impressive.
📦 A Human’s Ultimate Guide to setup.py.
References:
[1]: https://github.com/navdeep-G/setup.py
[2]: https://github.com/navdeep-G
I like WaylonWalker’s [1] project pyDataVizDay [2].
A python implementation of the Data Viz Day visualization.
References:
[1]: https://github.com/WaylonWalker
[2]: https://github.com/WaylonWalker/pyDataVizDay
If you’re into interesting projects, don’t miss out on iplotter [1], created by niloch [2].
JavaScript charting in ipython/jupyter notebooks -
References:
[1]: https://github.com/niloch/iplotter
[2]: https://github.com/niloch