In this tutorial you will learn:
Now that we have all the basic knowledge of Python it’s time to study the advanced topcs. Numpy is a library used for scientific computing. It gives us access to multi dimensional array objects and different functions to manipulate those arrays and data structures. Numpy also allows us to integrate C/C++ code with Python and gives us wide range of mathematical functions as well. These mathematical functions include Fourier transforms, Linear Algebraic models and random number generators.
To use Numpy it’s recommended to use SciPy known as Scientific Python. To use Scientific Python we recommend downloading and installing a software called Anaconda. Latest version can be downloaded from the link below.
Another way is to install Numpy using a package manager such as Pip. Details of Pip are already discussed in the previous tutorials. If package manager is already setup then we can run the following command.
pip install numpy
For using Numpy we can simply import it in the required file.
Uses of Numpy
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