Package python-module-numpy: Information

    Source package: python-module-numpy
    Version: 1.15.4-alt7.E2K.3
    Build time:  Jun 17, 2022, 07:50 PM
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    License: BSD
    Summary: NumPy: array processing for numbers, strings, records, and objects
    Description: 
    NumPy is a general-purpose array-processing package designed to
    efficiently manipulate large multi-dimensional arrays of arbitrary
    records without sacrificing too much speed for small multi-dimensional
    arrays.  NumPy is built on the Numeric code base and adds features
    introduced by numarray as well as an extended C-API and the ability to
    create arrays of arbitrary type.
    
    There are also basic facilities for discrete fourier transform,
    basic linear algebra and random number generation.

    List of rpms provided by this srpm:
    libnumpy (e2kv6, e2kv5, e2kv4, e2k)
    libnumpy-debuginfo (e2kv6, e2kv5, e2kv4, e2k)
    libnumpy-devel (e2kv6, e2kv5, e2kv4, e2k)
    python-module-numpy (e2kv6, e2kv5, e2kv4, e2k)
    python-module-numpy-debuginfo (e2kv6, e2kv5, e2kv4, e2k)
    python-module-numpy-testing (e2kv6, e2kv5, e2kv4, e2k)
    python-module-numpy-tests (e2kv6, e2kv5, e2kv4, e2k)

    Maintainer: Michael Shigorin


      1. liblapack-devel
      2. /proc
      3. swig
      4. doxygen
      5. python-devel
      6. python-devel = 2.7
      7. python-module-Cython
      8. rpm-build-python >= 0.8
      9. python-module-setuptools
      10. python-module-setuptools
      11. rpm-macros-sphinx
      12. gcc-c++

    Last changed


    June 17, 2022 Michael Shigorin 1:1.15.4-alt7.E2K.3
    - Make doc-related BRs optional (matplotlib<->numpy loop).
    June 17, 2022 Andrew Savchenko 1:1.15.4-alt7.E2K.2
    - Make Fortran support optional.
    July 2, 2021 Andrew Savchenko 1:1.15.4-alt7.E2K.1
    - Sync with sisyphus 1.15.4-alt7:
      - drop BR:python-module-notebook
      - Rebuilt without python-3