Python Tutorials – 1.5 – Numpy

On October 11, 2017, in Python, by Aritra Sen

Numpy is the short form of ‘Numerical Python‘. This is one library you should learn if you are interested in Data Science with Python. The core of Numpy is it’s N-Dimension Array which is similar to List but has many advance over List like –

  • More compact.
  • Faster access in Reading and writing items.
  • Ease of doing element wise operation in Numpy.
  • Numpy has inbuilt functions to do mathematical operations on arrays.

As we are using Jupyter notebook from Anaconda , Numpy library is already installed in Anaconda. But we need to import the Numpy library. Now lets look into the Numpy array , it’s advantages over list and different available functionalities of Numpy.


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