Archives
- 30 Jul The high-information blogroll
- 30 Jul Math goldmines: the free books that carry CS
- 30 Jul GPU and ML-performance goldmines: making it go fast
- 30 Jul Compiler and interpreter goldmines: build the language
- 30 Jul Database goldmines: internals without the folklore
- 30 Jul Systems goldmines: concurrency, memory, and the CPU
- 30 Jul Competitive programming goldmines: Halim and the deep archive
- 30 Jul Probability and statistics: the load-bearing layer under ML
- 29 Jul Distributed systems: DDIA, 6.824, and Jepsen
- 28 Jul Systems performance: measuring before believing
- 27 Jul Deep learning and LLMs: learn it by building it
- 26 Jul Machine learning foundations: Murphy and the load-bearing books
- 25 Jul Computer networks: from Kurose to packets on the wire
- 24 Jul Operating systems: from OSTEP to the kernel
- 23 Jul Competitive programming: the path that works
- 22 Jul The shelf: books worth reading more than once
- 21 Jul Deliberate practice: getting better on purpose
- 20 Jul Mental models: building the latticework
- 19 Jul Clear thinking: the reading that actually moves the needle