Scientific Swift
summary
Argues Swift can produce readable scientific code while calling high‑performance libraries and shows working examples: using Unicode operators and custom prefix and infix operators to implement a quadratic solver whose Number enum yields real or complex roots, building operator algebra for partial derivatives and gradients with type aliases, and calling C/Accelerate, simd and Metal with matching memory layout. Demonstrates prototype GPU kernels, notes ampersand mutating semantics, and reports up to an order‑of‑magnitude speedup (≈10×) on small arrays.
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chapters (7)
- 0:00Scientific computing in Swift
- 1:54Unicode for readable math
- 4:46Structuring scientific data
- 8:07Building custom operators
- 10:59Functional programming
- 13:51High-performance integration
- 17:32The future of Swift in science
