A handheld ('cyberdeck'-like) mini-pc made from RPi3. Requires 3d-printing for its case

A selection of data processing libraries for python - image, audio, video, text, tabular - it's all there.

Statistical inferrence, various python plot types and Correlation vs causation explained in a series of blog-posts. Very beginner-friendly with drawings etc

Set up quick runner commands that change per currently active language server. Seems useful for a sort of 'quick access menu' for various command when running e.g. pandoc repeatedly, testing with python, compiling something, etc.

Inspired by Gooey, just made for the click library. Does not currently have a pypi repository as far as I can see, which makes it a bit harder to integrate into projects.

Command line tool for improving typing skills - can do random sampling from entries you give it, or use machine learning training sets to give you typing tasks (for a variety of programming languages as well!)

Note-taking in tree-like structures (reminds me a tiny bit of things like workflowy).

One neat thing is that it has the concept of 'global' and 'local' trees: you have one global tree on your machine (usually central place for any notes you want to add, that you can call up from wherever, a little like a wiki index or similar).

Then you can have many local trees that just live in cwd under .mind - perfect for e.g. keeping track of a project's todos (i.e. little code projects for example)

Icon-font for all kinds of academic needs (pre-published, peer-reviewed, arxiv, etc). Mimics fontawesome setup but contains much fewer icons. Neat!

A website dedicated to the fascinating world of mathematics and programming.

A whole boatload of exercises you can do in your favorite programming language - And most of them seem byte-sized enough to be done as a daily little training.

Not as advanced of an interface as e.g. exercism.io, but also less involved problems usually - which can be a good thing!

Statistics concepts explained (and tried to do so in plain english). That means some nuance will be lost but might get you to understand results quicker.