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Polars for initial data analysis, Polars for production

2 years ago pythonspeed.com performance python

Speeding up text processing in Python (is hard)

2 years ago pythonspeed.com performance python

Python’s Multiprocessing Performance Problem

2 years ago pythonspeed.com performance python

Don’t bother trying to estimate Pandas memory usage

2 years ago pythonspeed.com performance python

float64 to float32: Saving memory without losing precision

2 years ago pythonspeed.com

Why Polars uses less memory than Pandas

2 years ago pythonspeed.com

Some reasons to avoid Cython

2 years ago pythonspeed.com cython python

It’s time to stop using Python 3.7

2 years ago pythonspeed.com python

Good old-fashioned code optimization never goes out of style

2 years ago pythonspeed.com

Who controls parallelism? A disagreement that leads to slower code

2 years ago pythonspeed.com

Early speed optimizations aren’t premature

2 years ago pythonspeed.com

Faster hardware is a bad first solution to slow software

2 years ago pythonspeed.com

Find slow data processing tasks (before your customers do)

2 years ago pythonspeed.com

Finding performance problems: profiling or logging?

2 years ago pythonspeed.com

Invasive procedures: Python affordances for performance measurement

2 years ago pythonspeed.com python

The best way to find performance bottlenecks: observing production

2 years ago pythonspeed.com

Finding performance bottlenecks in Celery tasks

2 years ago pythonspeed.com

The limits of Python vectorization as a performance technique

2 years ago pythonspeed.com python

Why new Macs break your Docker build, and how to fix it

2 years ago pythonspeed.com docker

Pandas vectorization: faster code, slower code, bloated memory

2 years ago pythonspeed.com

Making pip installs a little less slow

3 years ago pythonspeed.com

CPUs, cloud VMs, and noisy neighbors: the limits of parallelism

3 years ago pythonspeed.com

Faster, more memory-efficient Python JSON parsing with msgspec

3 years ago pythonspeed.com json python

When Python can’t thread: a deep-dive into the GIL’s impact

3 years ago pythonspeed.com python

Speeding up software with faster hardware: tradeoffs and alternatives

3 years ago pythonspeed.com

Please stop writing shell scripts

3 years ago pythonspeed.com

Processing large JSON files in Python without running out of memory

3 years ago pythonspeed.com json python

Faster Python calculations with Numba: 2 lines of code, 13× speed-up

3 years ago pythonspeed.com python

The fastest way to read a CSV in Pandas

3 years ago pythonspeed.com csv

How vectorization speeds up your Python code

3 years ago pythonspeed.com python

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