Programming Languages MOC

Index of 50 programming languages. Each note has: definition, pros, cons, best-for, real examples, and use cases.

✅ = you already know it. Everything else is a learning target.

Systems / Compiled

• C
• C++
• Rust
• Go
• Zig
• D
• Nim
• Ada
• Fortran
• Assembly

OOP / Enterprise

• Java
• C#
• Kotlin
• Swift
• Objective-C
• Visual Basic .NET
• Delphi
• Groovy
• Scala
• Dart

Scripting / Dynamic

• Python ✅
• JavaScript ✅
• TypeScript ✅
• Ruby
• PHP
• Perl
• Lua
• Bash
• PowerShell
• R

Functional

• Haskell
• Elixir
• Erlang
• Clojure
• F#
• OCaml
• Elm
• Scheme
• Common Lisp
• Racket

Data / Scientific

• MATLAB
• Julia
• SQL

Legacy / Enterprise

• COBOL
• Prolog

Niche

• Crystal
• Solidity
• Apex
• Haxe
• Verilog

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How to use this vault section

Each note follows the same shape, so you can compare languages fast:

• Definition — what it is in one or two sentences
• Pros / Cons — the real tradeoffs, not marketing
• Best For — the problems it actually fits
• Real Examples — software built with it, so you know it’s not theoretical
• Use Cases — concrete scenarios to practice on

Suggested learning order (given you already know Python, JS, TS)

1. Go or Rust — closest next step for backend/systems work, huge job demand
2. SQL — not optional, every real project needs it
3. Bash or PowerShell — automate your own dev workflow
4. Kotlin or Swift — if mobile interests you
5. Haskell or Elixir — to stretch how you think about problems (functional paradigm)
6. Pick one niche language (Solidity, Verilog, COBOL) based on what domain problem you want to explore