Numpy
NumPy is a one of the Data Science library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. The ancestor of NumPy, Numeric, was originally created by Jim Hugunin with contributions from several other developers Section Goals: Understand NumPy Create Arrays With NumPy Retrieve Information From A NumPy Array Through Slicing And Indexing Learn Basic NumPy Operations What Is NumPy? Python Library For Creating N-Dimensional Arrays Ability To Quickly Broadcast functions Built-in Linear Algebra, Statistical Distributions, Trigonometric And Random Number Capabilities Why Use NumPy? While NumPy Structures Look Similar To Standerf Python Lists, They Are Much More Efficient!!! T...