Numpy Basics
Understand Numpy arrays and their advantages over Python lists. Learn to manipulate multi-dimensional arrays, use common attributes, and perform fast mathematical operations critical for data science.
Numpy
Data comes in various forms and needs to be stored and processed in Python programs. Numpy is meant for such purposes and enables a person to operate on Data in an optimized and fast way. It handles matrices and multi-dimensional arrays in a very good way. It is used extensively for Linear Algebra tasks. It comes under the umbrella of modules that are meant for scientific purposes in Python. In this lesson, we will be going through it, using various hands-on exercises, and seeing how it works.
ndarray data structure
“ndarray” is short for N-dimensional array. It has a fixed size in memory, and contains elements of the same type. We will be looking into the operations that are extensively used in the Industry on Numpy arrays.