Grokking Deep Learning
A book that purports to teach Deep Learning from an intuitive perspective without advanced math.
Tag: programming 
Tag: programming
A book that purports to teach Deep Learning from an intuitive perspective without advanced math.
An introductory presentation to machine learning.
Dan Grossman's class on Programming Languages. It starts by introducing foundational ideas using ML, then builds on top of them using other languages to introduce new concepts. After watching several videos, this is an easy one to recommend.
A software "console" target that allows you to write and play constrained games on the web.
See TIS-100 also.
Also, from re-frame's github project page wiki is this entry on how to bootstrap a re-frame app.
Talk by Jon Moore on designing a RESTful api with HATEOAS.
I need to look this page up every single time.
A series of video tutorials on various Clojure topics by Tim Baldrige.
These always make me think of _why.
Bob Ippolito's single-step Mac OS X Haskell installation.
Brent Yorgey's course on Haskell. Chris Allen's recommended way of learning Haskell.
After going through it a bit, I found some problems and progress slowed, then halted. I'll bet it's great when you take the course...the lecture notes are not enough for self study.
I personally would recommend Learn You a Haskell to dip toes in, then look for the next step.
An interactive tutorial that teaches you Processing. Taught by Daniel Shiffman. Love his enthusiasm.
The link to pylogo.org no longer works, although there is a sourceforge page.