If Start Here is the structured route, this is the shorter curated one.
Every link on this page points to material you can read now.
Best Series To Read Straight Through
Compiler
A theory-to-implementation path through automata, grammars, parsing, ASTs, semantic analysis, IR, optimization, and code generation.
Linux Internals
A systems path through processes, scheduling, memory, files, system calls, concurrency, networking, and containers.
Computer Architecture
The hardware foundation: CPU internals, instruction sets, pipelining, privilege, memory hierarchy, I/O, and multicore execution.
Python Deep Dive
The most approachable path. It connects familiar Python code to the language's object model, containers, generators, classes, and descriptors.
Four Strong Starting Posts
- Intermediate Representations and Optimization connects compiler theory to the structures real optimizers work on.
- Process Scheduling is a useful bridge from code execution to operating-system policy.
- Memory Hierarchy builds the performance model behind caches, locality, and main memory.
- Class Internals and Descriptors explains a part of Python that many developers use indirectly but rarely inspect.
One Recommendation
For the clearest picture of this blog's style, read Memory Hierarchy, then Process Scheduling, and finish with Intermediate Representations and Optimization.
That route moves from hardware to runtime policy to program representation.