Tag: performance
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Why JAX Feels Faster Than PyTorch (and When It Isn’t)
JAX's JIT compilation and vmap deliver 3x speedups on numerical loops, but PyTorch's mature ecosystem and eager debugging often win in production. Here's when each framework actually matters.
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Python 3.13 Free-Threading: Real Parallel CPU Performance
Python 3.13's free-threading mode removes the GIL for real parallel CPU execution. Benchmarks, compatibility gotchas, and when it beats multiprocessing.
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Polars vs Pandas 2026: Benchmarks That Actually Matter
Polars is 9x faster at joins but slower at string ops. Here's when migration actually pays off and when Pandas still wins in 2026.
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PaddleOCR vs EasyOCR: Initialization Time Killed My Production Pipeline
PaddleOCR initializes 2x faster than EasyOCR on CPU. For serverless and batch jobs, that 8-second startup gap isn't noiseโit's everything.
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functools.cache vs lru_cache: Performance Benchmarks
functools.cache vs lru_cache: one is 40% faster, the other prevents memory leaks. Benchmark results, edge cases, and when unbounded caching breaks.