v0.500.0

v0.500.0 Updates:

• instances of mat and cube are initialised to contain zero-valued elements by default
• added standalone zeros(), ones(), randu(), randn(), eye()
• added pyarma_rng.set_seed(value) and pyarma_rng.set_seed_random()
• added extra forms for lu(), qr(), qr_econ(), qz(), svd_econ()
• added subscripting for size objects
• range() renamed to spread() to prevent conflicts with built-in range() in Python
• for solve(), solve_opts_* flags renamed to solve_opts.* (eg. solve_opts_fast is now solve_opts.fast)
• for mat and cube constructors, fill_* flags renamed to fill.* (eg. fill_zeros is now fill.zeros)

Download

For downloading the packages, please visit here

v0.490.0

Fixed some bugs and improved the format.

See more here --- PyArmadillo's PyPI website

For building the package locally, please download from here.

v0.400.0

Installation Notes

• See the README file in the .tar.xz package for full installation instructions

• Installation requirements:

  • at least Python 3.6; the minimum recommended version is Python 3.8
  • a C++ compiler that supports at least the C++11 standard
  • at least 8 GB of RAM
  • 64-bit CPU, preferably with 4+ cores
  • OpenBLAS and LAPACK

• If you encounter any bugs or regressions, please report them

• If you use PyArmadillo in your research and/or software, please cite the associated papers;
  citations are useful for the continued development and maintenance of the library

• Linux based operating systems (eg. Fedora, Ubuntu, CentOS, Red Hat, Debian, etc)

  • Before installing PyArmadillo, first install OpenBLAS, LAPACK, Python 3, and pip3, along with the corresponding development/header files

  • On CentOS 8 / RHEL 8, the CentOS PowerTools repository may first need to be enabled:
    dnf config-manager --set-enabled powertools

  • Recommended packages to install before installing PyArmadillo:
    Fedora, CentOS, RHEL: gcc-c++, libstdc++-devel, openblas-devel, lapack-devel, python3-devel, python3-pip
    Ubuntu and Debian: g++, libopenblas-dev, liblapack-dev, python3-dev, python3-pip

• macOS

  • Before installing PyArmadillo, install Xcode (version 8 or later) and then type the following command in a terminal window:
    xcode-select --install

  • Xcode command-line tools include the Python 3 development files, but pip3 needs to be updated:
    pip3 install --user --upgrade pip

  • The "Accelerate" framework is used for accessing BLAS and LAPACK functions; see the README file in the package for more information

• Windows (x64)

  • Before installing Pyarmadillo, fist install Microsoft Visual Studio (2019 or later) and use the x64 Native Tools Command Prompt

  • The PyArmadillo package contains pre-compiled OpenBLAS 0.3.10, which is used for accessing BLAS and LAPACK functions

  • Alternative implementations and/or distributions of BLAS and LAPACK are available at:

    • http://software.intel.com/en-us/intel-mkl/
    • http://icl.cs.utk.edu/lapack-for-windows/lapack/
    • http://ylzhao.blogspot.com.au/2013/10/blas-lapack-precompiled-binaries-for.html

  • Caveat: 32-bit Windows (x86) is currently not supported

  • Caveat: for any high performance scientific/engineering workloads, we strongly recommend using a Linux based operating system.