Fast by Default: Algorithmic Thinking in Practice
summary
Covers practical algorithmic thinking for JavaScript developers: diagnosing performance bottlenecks, detecting unnecessary work in code, and achieving the same results with fewer operations. Focuses on concrete techniques to analyze hotspots and write fast-by-default code without relying solely on frameworks.
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chapters (10)
- 0:00Introduction
- 12:19Why algorithms matter
- 21:24Algorithmic complexity
- 27:47Memory optimization
- 35:22Logarithmic complexity
- 40:26Data structures
- 44:17JavaScript engines
- 47:13Open source optimization
- 49:40Summary
- 50:01Q&A
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