Teaching 3 courses with Julia at Uni and need help

This page summarizes the projects mentioned and recommended in the original post on /r/Julia

AppSignal knows why the f*#k it crashed.
Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.
www.appsignal.com
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  1. Pluto.jl

    🎈 Simple reactive notebooks for Julia

    From a tooling perspective look into Pluto.jl

  2. AppSignal

    AppSignal knows why the f*#k it crashed. Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.

    AppSignal logo
  3. StatsWithJuliaBook

    I like what little I have read so far in Statistics with Julia. There is also the recent MIT course Intro to Computational Thinking that uses Pluto and includes statistics and probability at a moderately advanced level.

  4. 6S083

    Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

    The Syllabus and problems are MIT / CC BY-NC-SA licensed, so you are actually allowed to use it pretty much as-is. https://github.com/mitmath/6S083/blob/master/LICENSE.md

  5. STMO

    Selected Topics in Mathematical Optimization, now in Julia

    I am teaching a master course on optimization in Julia. You can find the material here and a small blog post I have written about this here.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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Did you know that Julia is
the 52nd most popular programming language
based on number of references?