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The limits of Python vectorization as a performance technique

Finding performance bottlenecks in Celery tasks

Show HN: How to get access to coredumps from GitHub Actions runs

Show HN: Sciagraph, performance+memory profiler for production Python batch jobs

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

Pandas vectorization: faster code, slower code, bloated memory

Making pip installs a little less slow

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

Faster, more memory-efficient Python JSON parsing with msgspec

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

Speeding up software with faster hardware: tradeoffs and alternatives

Bashing the Bash – Replacing Shell Scripts with Python (2017)

Please stop writing shell scripts

Processing large JSON files in Python without running out of memory

Docker builds in CircleCI: go faster, and support newer Linux versions

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

Finding leaked secrets in your Docker image with a scanner

The fastest way to read a CSV in Pandas

Vectorization speeds up your Python code

Memory location matters for performance

CentOS 8 is dead: choosing a replacement Docker image