awesome-compilers

guages; Transform from lang a to lang b; and language implimentation as discussions tend to assume masters / upper level undergraduate knowledge ;;; Basic groupings : 1) theory; 2) learning & training problems; 3) algorithm book on-line ; 4) notational theory ;;;* 1) Theory: ** Category Theory for Programmers by Bartosz Milewski ** Regular expressions ** subject of meta-programming : https://en.wikipedia.org/wiki/Metaprogramming ** subject of meta-modeling : https://en.wikipedia.org/wiki/Metamodeling ** programing pardigms : https://en.wikipedia.org/wiki/Programming_paradigm ** programning language patterns : https://en.wikipedia.org/wiki/Software_design_pattern ;;;* 2) Learning / Training problems: Lots of non-lisp language training problems sites. Other than go and try it in lisp language of choice, perhaps also use a <language> to lisp or lisp to <language> for hints if stuck. ** language & non-language specific coding problems : https://adriann.github.io/programming_problems.html -- a few links from adriann.githupb.io: -- https://www.spoj.com/problems/classical/sort=0,start=500 -- https://www.ic.unicamp.br/~meidanis/courses/mc336/problemas-lisp/L-99_Ninety-Nine_… -- https://rosettacode.org/wiki/Category:Programming_Tasks ** https://lispcookbook.github.io/cl-cookbook/ ** meta-algorithms site : https://the-algorithms.com ** https://www.geeksforgeeks.org/data-structures/ ** https://www.geeksforgeeks.org/advanced-data-structures/?ref=gcse ;;* 3) algorithm book (on-line): ** Programming Algorithms in Lisp by VsevolodDomkin ** Competative Programming : https://cses.fi/book/book.pdf ** Algorithms by Jeff Erickson (non-lisp bent): https://jeffe.cs.illinois.edu/teaching/algorithms/ ** Open Data Structures : https://opendatastructures.org/ods-python/ ;;* 4) Notational stuff: ** Ebnf https://www.gimtec.io/articles/ebnf/ (check out the further readings!) ** awesome syntax-tree : https://github.com/syntax-tree/awesome-syntax-tree ** church encoding : https://en.wikipedia.org/wiki/Church_encoding ** mogensen-scott encoding : https://en.wikipedia.org/wiki/Mogensen%E2%80%93Scott_encoding` ** lambda calculus : https://en.wikipedia.org/wiki/Lambda_calculus ** Combinators : https://github.com/loophp/combinator

r feedback: search compiler on https://www.geeksforgeeks.org/ software perspectiv, https://program-transformation.org/ research intensive, look at specific book/documentation on how a language is/was implimented, aka cpython, java, compiling lisp, smalltalk-80, forth General resource sites (per looking for something less expensive): https://github.com/aalhour/awesome-compilers / https://bernsteinbear.com/pl-resources/