Articles from pythonspeed.com

Articles from pythonspeed.com

Using portable SIMD in stable Rust (pythonspeed.com)
14 days ago Rust

Should you use uv's managed Python in production? (pythonspeed.com)
2024-10-16 Python

Beyond multi-core parallelism: faster Mandelbrot with SIMD (pythonspeed.com)
2024-10-1

Let's build and optimize a Rust extension for Python (pythonspeed.com)
2024-9-17 Python Rust

Let's optimize! Running 15× faster with a situation-specific algorithm (pythonspeed.com)
2024-5-31 Algorithm

The wrong way to speed up your code with Numba (pythonspeed.com)
2024-3-22

Not just NVIDIA: GPU programming that runs everywhere (pythonspeed.com)
2024-2-28 Nvidia programming

Jevons Paradox doesn't always apply to software (pythonspeed.com)
2024-2-28

Not just NVIDIA: GPU programming that runs everywhere (pythonspeed.com)
2024-2-14 Nvidia programming

Profiling your Numba code (pythonspeed.com)
2024-1-31

Beware of misleading GPU vs CPU benchmarks (pythonspeed.com)
2024-1-18

NumPy 2 is coming: preventing breakage, updating your code (pythonspeed.com)
2024-1-10 NumPy

When should you upgrade to Python 3.12? (pythonspeed.com)
2024-1-8 Python

How many CPU cores can you actually use in parallel? (pythonspeed.com)
2023-12-19

Using Polars in a Pandas world (pythonspeed.com)
2023-12-1 Pandas

Two kinds of threads pools, and why you need both (pythonspeed.com)
2023-11-22

Speeding up Cython with SIMD (pythonspeed.com)
2023-10-31

Speeding up Cython with SIMD (pythonspeed.com)
2023-10-21

Faster, more memory-efficient Python JSON parsing with msgspec (pythonspeed.com)
2023-8-31 Python JSON

The easiest way to speed up Python with Rust (pythonspeed.com)
2023-7-11 Python Rust

When NumPy is too slow (pythonspeed.com)
2023-6-28 NumPy

Understanding CPUs can help speed up Numba and NumPy code (pythonspeed.com)
2023-6-9 NumPy

Choosing a good file format for Pandas (pythonspeed.com)
2023-5-25 Pandas

“Externally managed environments”: when PEP 668 breaks pip (pythonspeed.com)
2023-5-20

Polars for initial data analysis, Polars for production (pythonspeed.com)
2023-4-7 Data Analysis

Staying secure by breaking Docker caching (pythonspeed.com)
2023-4-1 Docker Cache

Speeding up text processing in Python (is hard) (pythonspeed.com)
2023-3-24 Python

Python's multiprocessing performance problem (pythonspeed.com)
2023-2-18 Python

Don't bother trying to estimate Pandas memory usage (pythonspeed.com)
2023-2-2 Pandas

float64 to float32: Saving memory without losing precision (pythonspeed.com)
2023-1-28

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