#CS#Compiler#Performance#Language
Compiler vs Interpreter: AOT, JIT, and Bytecode (Deep Dive)
Analyzing the trade-offs between Compiled languages (C++) and Interpreted languages (Python). How JIT Compilers bridge the gap.
June 5, 2025
Codemapo
Analyzing the trade-offs between Compiled languages (C++) and Interpreted languages (Python). How JIT Compilers bridge the gap.
Why does my server crash? OS's desperate struggle to manage limited memory. War against Fragmentation.
Two ways to escape a maze. Spread out wide (BFS) or dig deep (DFS)? Who finds the shortest path?
Fast by name. Partitioning around a Pivot. Why is it the standard library choice despite O(N²) worst case?
Establishing TCP connection is expensive. Reuse it for multiple requests.
Compilers and interpreters ultimately differ in "when translation happens."
When I finally understood these concepts, I stopped thinking simply "this language is faster/slower." I started seeing what trade-offs each language chose to solve which problems.
C++'s complex build systems, Python's slow speed, JavaScript's weird type system—they're all consequences of deliberate design choices. And there are appropriate situations where each choice was correct.
Understanding this fundamentally changed how I approach programming language selection and performance optimization. It's not about finding the "best" language, but finding the right tool for each specific problem.