py312-numexpr (python/py-numexpr) Updated: 11 months, 2 weeks ago Add to my watchlist 0

The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it on the fly into code for its internal virtual machine (VM). Due to its integrated just-in-time (JIT) compiler, it does not require a compiler at runtime.

The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it on the fly into code for its internal virtual machine (VM). Due to its integrated just-in-time (JIT) compiler, it does not require a compiler at runtime.

+ Show more

GitHub

• Details
• Builds
• Installation Stats
• Trac Tickets
• Report an Issue with this port
• API
• Stats FAQ

Statistics for selected duration

2024-Dec-23 to 2025-Jan-22

Variants table

Monthly Statistics

Can remain cached for up to 24 hours