Complete NumPy course – Data Science in Python

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Price: 199.99$

In this course you will learn to use the Num Py library fluently. Num Py is a numerical computation library extensively used in data science, machine learning and statistics. In fact, many other libraries in these fields rely on Num Py arrays to deliver their functionality efficiently. In the area of data science and machine learning we often work with tabular data, which can be represented very well by Num Py arrays. In the course you will learn how to work with n-dimensional arrays and how to manipulate them comfortably to solve complex tasks in different domains. Num Py processes matrix operations extremely efficiently, offering low execution time and memory usage. Its functionality is implemented in the C programming language: a very efficient compiled language. This functionality is executed from the Python interface with a simple declarative syntax. The course is divided into 12 lessons:- Introduction to the Num Py library.- Creating, indexing and slicing Num Py arrays.- Copying and editing Num Py arrays.- Stacking and restructuring Num Py arrays.- Arithmetic operations with Num Py arrays.- Operations with Num Py arrays of different shapes.- Concatenation, reversion and persistence of Num Py arrays.- Applications of Num Py – Random number generation- Applications of Num Py – Statistics- Applications of Num Py – Linear algebra- Applications of Num Py – Image manipulation- Applications of Num Py  – Chaotic dynamical systems At the end of the course, you will know how to create arrays using different methods, manipulate them and perform mathematical operations with them.