For many hackers, programmers, and computer scientists, having an understanding of graph theory is immensely helpful. But what about those who do not have this background?
This blog posts adapts Scott Young’s Ultralearning approach and applies it to learning graph theory for those who many not have a formal training in maths!
For the past year, my friend, Ole Kröger, and I have been developing a native animation package in Julia called, Javis.jl. Through our development process, we have been able to build a nearly 70 person developer community, sponsor Google summer of code students, and help new Julia programmers create powerful visuals! We recently presented the tool at JuliaCon, and were able to show its use for educational outreach and beyond.
Our hope is that this open source tool can be used by programmers, educators, professionals and researchers from across the globe to convey their ideas in winsome and understandable ways!
As both a researcher and a programmer, switching between word processors, programming environments and file explorers was a pain. In this blog post, I show how I streamlined this process to where I never have to leave my terminal to write papers in LaTeX and Markdown, run code snippets directly from my scripts to a REPL, and save sessions and layouts so in just a few clicks.
