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.
