Statistics and Calculus with Python Workshop

Are you looking to start developing artificial intelligence applications? Do you need a refresher on key mathematical concepts? Full of engaging practical exercises, The Statistics and Calculus with Python Workshop will show you how to apply your understanding of advanced mathematics in the context of Python. The book begins by giving you a high-level overview of the libraries you’ll use while performing statistics with Python. As you progress, you’ll perform various mathematical tasks using the Python programming language, such as solving algebraic functions with Python starting with basic functions, and then working through transformations and solving equations. Later chapters in the book will cover statistics and calculus concepts and how to use them to solve problems and gain useful insights. Finally, you’ll study differential equations with an emphasis on numerical methods and learn about algorithms that directly calculate values of functions. By the end of this book, you’ll have learned how to apply essential statistics and calculus concepts to develop robust Python applications that solve business challenges.

Key Features

Discover how most programmers use the main Python libraries when performing statistics with Python

Use descriptive statistics and visualizations to answer business and scientific questions

Solve complicated calculus problems, such as arc length and solids of revolution using derivatives and integrals

What you will learn

Get to grips with the fundamental mathematical functions in Python

Perform calculations on tabular datasets using pandas

Understand the differences between polynomials, rational functions, exponential functions, and trigonometric functions

Use algebra techniques for solving systems of equations

Solve real-world problems with probability

Solve optimization problems with derivatives and integrals

Who this book is for

If you are a Python programmer who wants to develop intelligent solutions that solve challenging business problems, then this book is for you. To better grasp the concepts explained in this book, you must have a thorough understanding of advanced mathematical concepts, such as Markov chains, Euler's formula, and Runge-Kutta methods as the book only explains how these techniques and concepts can be implemented in Python.