© Gayathri Rajagopalan 2021
G. RajagopalanA Python Data Analyst’s Toolkithttps://doi.org/10.1007/978-1-4842-6399-0_5

5. Working with NumPy Arrays

Gayathri Rajagopalan1  
(1)
Bangalore, India
 

NumPy, or Numerical Python, is a Python-based library for mathematical computations and processing arrays. Python does not support data structures in more than one dimension, with containers like lists, tuples, and dictionaries being unidimensional. The inbuilt data types and containers in Python cannot be restructured into more than one dimension, and also do not lend themselves to complex computations. These drawbacks are limitations for some of the tasks involved while analyzing data and building models, which makes arrays a vital data structure.

NumPy arrays ...

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