PIC microcontrollers, electronics, science projects, software, games, maps, and more.
Spyder is a free and open source scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It features a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and beautiful visualization capabilities of a scientific package.
Home of delightful curated lists of free software, open science and information sources.
A list of lists.
A site where people study information about themselves - genomics, text, social networks - and share their techniques for doing so. I'm not entirely sure I'd feel safe uploading anything here, but at the very least some techniques could be learned from it.
Tulip is an information visualization framework dedicated to the analysis and visualization of relational data. Tulip aims to provide the developer with a complete library, supporting the design of interactive information visualization applications for relational data that can be tailored to the problems he or she is addressing.
Comes with Python embedded to interact with the data.
Versions for multiple OSes are available. Might be worth grabbing the .appimage to save time.l
A curated list of books that will blow your mind.
Described as the Craig's List for science.
Maybe make a bot out of this?
A website that claims to teach you how to beat a polygraph examination.
The official homepage of Bertrand R. Brinley, who wrote the short stories collectively called The Mad Scientists' Club.
An interesting article discussing a hierarchy of potential eschatological events.
A gallery of images made by sticking random toys into a radiograph.
An interesting bit of historical text originally published by Oak Ridge National Labs on the topic of surviving a nuclear war.
A website about randomness, (pseudo-)random number generators, and cryptographic entropy. Contains discussions of these topics as well as some online RNGs to play with.
Along with NIST SP800-22rev1 (statistical analysis of pseudo-random number generators), the Statistical Test Suite can be used to actually perform the tests outlined in this document. Runs under Windows, Linux, and Mac OSX. Written in C.
4030 links, including 257 private