SliTaz Repositories

     1.1 --- /dev/null	Thu Jan 01 00:00:00 1970 +0000
     1.2 +++ b/python-numpy/description.txt	Wed Nov 30 08:50:05 2022 +0000
     1.3 @@ -0,0 +1,12 @@
     1.4 +It provides:
     1.5 +
     1.6 +- a powerful N-dimensional array object
     1.7 +- sophisticated (broadcasting) functions
     1.8 +- tools for integrating C/C++ and Fortran code
     1.9 +- useful linear algebra, Fourier transform, and random number capabilities
    1.10 +- and much more
    1.11 +
    1.12 +Besides its obvious scientific uses, NumPy can also be used as an efficient
    1.13 +multi-dimensional container of generic data.
    1.14 +Arbitrary data-types can be defined. This allows NumPy to seamlessly and
    1.15 +speedily integrate with a wide variety of databases.