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    NumPy– Environment Setup

    Standard Python distribution doesn’t come bundled with NumPy module. A lightweight alternative is to install NumPy using popular Python package installer, pip.

    pip install numpy

    The best way to enable NumPy is to use an installable binary package specific to your operating system. These binaries contain full SciPy stack (inclusive of NumPy, SciPy, matplotlib, IPython, SymPy and nose packages along with core Python).


    Anaconda (from https://www.continuum.io) is a free Python distribution for SciPy stack. It is also available for Linux and Mac.

    Canopy (https://www.enthought.com/products/canopy/) is available as free as well as commercial distribution with full SciPy stack for Windows, Linux and Mac.

    Python (x,y): It is a free Python distribution with SciPy stack and Spyder IDE for Windows OS. (Downloadable from https://www.python-xy.github.io/)


    Package managers of respective Linux distributions are used to install one or more packages in SciPy stack.

    For Ubuntu

    sudo apt-get install python-numpy

    python-scipy python-matplotlibipythonipythonnotebook python-pandas

    python-sympy python-nose

    For Fedora

    sudo yum install numpyscipy python-matplotlibipython

    python-pandassympy python-nose atlas-devel

    Building from Source

    Core Python (2.6.x, 2.7.x and 3.2.x onwards) must be installed with distutils and zlib module should be enabled.

    GNU gcc (4.2 and above) C compiler must be available.

    To install NumPy, run the following command.

    Python setup.py install

    To test whether NumPy module is properly installed, try to import it from Python prompt.


    If it is not installed, the following error message will be displayed.

    Traceback (most recent call last):

    File “< pyshell#0>“, line 1, in < module>


    ImportError: No module named ‘numpy’

    Alternatively, NumPy package is imported using the following syntax −

    importnumpy as np


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