C

Cython

ScaLAPACK for Python (scalapy) provides a high-level Python interface to distributed dense linear algebra using MPI, BLACS, and ScaLAPACK. It enables efficient computation on large matrices using a block-cyclic distribution, while exposing a NumPy-like API based on the DistributedMatrix abstraction.

This fork modernizes and stabilizes the original scalapy project with: • Support for Python 3.x on modern Linux systems • Clean MPI + ScaLAPACK detection (OpenMPI + Netlib ScaLAPACK) • Reproducible builds using a known-good NumPy / Cython / mpi4py stack • Documentation, examples, and automated tests • High-level wrappers for SVD, QR, LU, Cholesky, eigenproblems, and DMD workflows • Efficient distributed transposes via the new p?lapv2 wrapper

The project makes it possible to write dense parallel linear-algebra pipelines in Python while executing BLAS/PBLAS/ScaLAPACK kernels across an MPI communicator.

Generate C from a Python3 file using Cython and then compile with GCC.

Optimize python modules to the full potential of cython with a push of a button. This includes Memoryview and Pandas Dataframes and Series (ish)

Cython template project

Python toolbox implementing LASSIM (Large Scale Simulating Modelling), a new simulation-based integrative framework for GRN inference.

A python library for scientific use of discrete wavelet transforms

Lambda IDE (Python and C/C++ Integrated Development Environment)

Based in Kivy (OpenGL ES) Framework Uses C/Cython and Python Programming Languages