NumPy fundamentals
NumPy fundamentalsThese documents clarify concepts, design decisions, and technical constraints in N...
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Getting started
Fundamentals and usage
Advanced usage and interoperability
- Using NumPy C-API
- F2PY user guide and reference manual
- Under-the-hood documentation for developers
- Interoperability with NumPy
Extras
NumPy reference
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- NumPy’s module structure
- Array objects
- Universal functions (
ufunc) - Routines and objects by topic
- Typing (
numpy.typing) - Packaging
- NumPy C-API
- Array API standard compatibility
- CPU/SIMD optimizations
- Thread Safety
- Global Configuration Options
- NumPy security
- Testing guidelines
- Status of
numpy.distutilsand migration advice numpy.distutilsuser guide- NumPy and SWIG
Building from source
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- Compiler selection and customizing a build
- BLAS and LAPACK
- Cross compilation
- Building redistributable binaries
Contributing to NumPy
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- Setting up and using your development environment
- Building the NumPy API and reference docs
- Development workflow
- Advanced debugging tools
- Using GitHub Codespaces for NumPy development
- Reviewer guidelines
- NumPy benchmarks
- NumPy C style guide
- For downstream package authors
- Releasing a version
- NumPy governance
- How to contribute to the NumPy documentation
