awesome-aha

a soft and reasonable introduction to vim configuration that makes sense.

a highly effective website for polyglots, for refreshers, and the gist of many programming languages. Use this if you're already experienced with programming.

a great

how programming languages are related to a mindset.

a classic, mind opening essay about technology and people.

The emerging pop computing trend challenges good design because people keep adopting buzzwords and slapping stack overflow code snippets onto production. This essay reminds us why good design is important and why it's so hard to justify good design or architecture in general.

(video) a few observations about what makes a good or bad codebase, a good or bad design. Spoiler: it's the code size; sort of. Has many other good observation if you have not a lot of experience. Very repetitive, but good.

(video) Amazingly relevant still, even today.

programming and problem solving.

Really this could have been called "shit people knew in 89' that people today will keep rediscovering and fight about - but will never stop to realize they're really reinventing a flatter wheel".

pair the "Mostly Adequate Guide" with these, either while reading, or after finishing reading it, to bolt in place all of the FP magic. These will also serve as a good cheatsheet for later.

Wadler and Bird's classic. Many FP concepts first introduced here. Search on Google for more usable copies.

a great tutorial if you want to short-circuit years of wax-on wax-off to properly "get" FP. Start with this if you don't have FP background, or have some university clue, and progress to more heavy hitters such as Haskell, Lisp and so on.

Turner summarizes part of the history of FP languages. Good to skim and to get a feeling of the evolution.

A modern take on explaining transducers with Javascript (ES6), but read it any way because it intros map, filter, reduce and so on.

coverage of several subjects from a programmer's perspective, including a bit of internals.

same for Google.

Microsoft grabbed a lot of pioneers in computer science, there's plenty of great content there.

an amazing compilation of academic papers on many subject. Remember, there

this is good for some nonfiction books, but all academic papers.

changed the way I read papers and made me immediately more effective. Wish I had that when I was in university.

the data structure that powers a lot of recent big data products.

The orignal raw document that kickstarted