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The Statistics and Calculus with Python Workshop

The Statistics and Calculus with Python Workshop

By : Peter Farrell , Alvaro Fuentes , Ajinkya Sudhir Kolhe, Quan Nguyen , Alexander Joseph Sarver , Marios Tsatsos
4.7 (10)
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The Statistics and Calculus with Python Workshop

The Statistics and Calculus with Python Workshop

4.7 (10)
By: Peter Farrell , Alvaro Fuentes , Ajinkya Sudhir Kolhe, Quan Nguyen , Alexander Joseph Sarver , Marios Tsatsos

Overview of this book

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.
Table of Contents (14 chapters)
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Preface

1. Fundamentals of Python

Overview

This chapter reviews the basic Python data structures and tools that will be used in future discussions. These concepts will allow us to refresh our memory regarding Python's most fundamental and important features, while simultaneously preparing us for advanced topics in later chapters.

By the end of this chapter, you will be able to use control flow methods to design your Python programs and initialize common Python data structures, as well as manipulate their content. You will solidify your understanding of functions and recursion in Python algorithm design. You will also be able to facilitate debugging, testing, and version control for Python programs. Finally, in the activity at the end of this chapter, you will create a Sudoku solver.

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The Statistics and Calculus with Python Workshop
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