Summary: NumPy

Let's summarise what you have learnt in this session.

In this session, you learnt about the most important package for scientific computing in Python: NumPy. The various operations that you learnt about include:

• Arrays, which are the basic data structure in the NumPy library
• Creating NumPy arrays from a list or a tuple
• Creating randomly large arrays which can be done using the arange command
• Analysing the shape and dimension of an array using array.shape, array.ndim and so on
• Indexing, slicing and subsetting an array, which is very similar to indexing in lists
• Working on multidimensional arrays
• Manipulating arrays using reshape(), hstack() and vstack()

Additional Reading:

If you want to learn more about this topic that what is covered in this module, you can optionally use the additional resources provided below. 

• NumPy in detail