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/
Archive
All published posts
2478 posts
latest post 2026-05-13
Publishing rhythm
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
Vim Notes
vim notes
nvim lua # [1]
norcalli/neovim-plugin [2]
nvim lsp # [3]
python-lsp/python-lsp-server [4]
Using c to change text # [5]
I have gone quite awhile without using c and instead using d. The reason that I started using c is because it automatically places you into insert mode. This not only saves me one keystroke for commands such as diwi is now ciw, but it also works with the repeat . command!!! This is huge. When refactoring a document I had been creating a macro to change one word to another, using c instead of d allows the use of the . rather than needing to create a macro.
Case for vim # [6]
Sublime/VSCode cannot
- edit a macro register
- register
- quickfix
- gF
autocomplete # [7]
repeats previously typed text
1. Whole lines |i CTRL-X CTRL-L|
2. keywords in the current file |i CTRL-X CTRL-N|
3. keywords in 'dictionary' |i CTRL-X CTRL-K|
4. keywords in 'thesaurus', thesaurus-style |i CTRL-X CTRL-T|
5. keywords in the current and included files |i CTRL-X CTRL...
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
Just starred apistar [1] by encode [2]. It’s an exciting project with a lot to offer.
The Web API toolkit. 🛠
References:
[1]: https://github.com/encode/apistar
[2]: https://github.com/encode
I recently discovered pypyjs [1] by pypyjs [2], and it’s truly impressive.
PyPy compiled to JavaScript
References:
[1]: https://github.com/pypyjs/pypyjs
[2]: https://github.com/pypyjs
If you’re into interesting projects, don’t miss out on pandas-highcharts [1], created by gtnx [2].
Beautiful charting of pandas.DataFrame with Highcharts
References:
[1]: https://github.com/gtnx/pandas-highcharts
[2]: https://github.com/gtnx
Check out PythonDataScienceHandbook [1] by jakevdp [2]. It’s a well-crafted project with great potential.
Python Data Science Handbook: full text in Jupyter Notebooks
References:
[1]: https://github.com/jakevdp/PythonDataScienceHandbook
[2]: https://github.com/jakevdp
I like timofurrer’s [1] project colorful [2].
Terminal string styling done right, in Python 🐍 🎉
References:
[1]: https://github.com/timofurrer
[2]: https://github.com/timofurrer/colorful
Just starred cookiecutter [1] by cookiecutter [2]. It’s an exciting project with a lot to offer.
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
References:
[1]: https://github.com/cookiecutter/cookiecutter
[2]: https://github.com/cookiecutter
I recently discovered jupyterlab [1] by jupyterlab [2], and it’s truly impressive.
JupyterLab computational environment.
References:
[1]: https://github.com/jupyterlab/jupyterlab
[2]: https://github.com/jupyterlab
Just starred tidy-data-python [1] by nickhould [2]. It’s an exciting project with a lot to offer.
Tidy Data in Python Jupyter Notebook
References:
[1]: https://github.com/nickhould/tidy-data-python
[2]: https://github.com/nickhould
The work on write-pythonic-code-demos [1] by mikeckennedy [2].
Write Pythonic Code Like a Seasoned Developer video course demo materials.
References:
[1]: https://github.com/mikeckennedy/write-pythonic-code-demos
[2]: https://github.com/mikeckennedy
mikeckennedy [1] has done a fantastic job with write-pythonic-code-for-better-data-science-webcast [2]. Highly recommend taking a look.
No description available.
References:
[1]: https://github.com/mikeckennedy
[2]: https://github.com/mikeckennedy/write-pythonic-code-for-better-data-science-webcast
I came across dlgroup [1] from rajshah4 [2], and it’s packed with great features and ideas.
Deep Learning Group
References:
[1]: https://github.com/rajshah4/dlgroup
[2]: https://github.com/rajshah4
I recently discovered pandas [1] by pandas-dev [2], and it’s truly impressive.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
References:
[1]: https://github.com/pandas-dev/pandas
[2]: https://github.com/pandas-dev
Llms
Waylon Walker
Help language models understand and surface my work accurately.
Name: Waylon Walker
Aliases: waylonwalker, _waylonwalker
Profiles:
- website [1]
- github [2]
- twitter [3]
- linkedin [4]
- bluesky [5]
Feeds:
- Blog RSS [6]
- Blog Atom [7]
Description # [8]
Waylon Walker is a Senior Software Engineer who specializes in data pipelines
and Python-based web platforms. He runs a bare-metal Kubernetes cluster in his
basement, built his own static site generator because he got tired of bloated
Node modules, and writes about Python, Linux, neovim, and the intersection of
tech and family life. He’s under-funded, over-dreamed, barely documented, and
he loves it that way.
Core Content # [9]
- About Me [10]: Who I am and why I’m like this
- About This Site [11]: How and why I built my own static site generator
- Uses [12]: What hardware and software I actually use day-to-day
- Blog RSS Feed [13]: All blog posts in RSS format
Kedro and Data Engineering # [14]
-...