Introduction to Python

With Applications in Optimization, Image and Video Processing, and Machine Learning

David Báez-López, David Alfredo Báez Villegas

• Publisher: Chapman and Hall/CRC
• Year: 2024
• Print ISBN: 9781032119106
• eBook ISBN: 9781040040737
• Edition: 1
• Topic: Computer Science
• Subtopic: Computer Science General
• Index: Computer Science

Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning is intended primarily for advanced undergraduate and graduate students in quantitative sciences such as mathematics, computer science, and engineering. In addition to this, the book is written in such a way that it can also serve as a self-contained handbook for professionals working in quantitative fields including finance, IT, and many other industries where programming is a useful or essential tool.

The book is written to be accessible and useful to those with no prior experience of Python, but those who are somewhat more adept will also benefit from the more advanced material that comes later in the book.

Features

• Covers introductory and advanced material. Advanced material includes lists, dictionaries, tuples, arrays, plotting using Matplotlib, object-oriented programming
• Suitable as a textbook for advanced undergraduates or postgraduates, or as a reference for researchers and professionals
• Solutions manual, code, and additional examples are available for download

Table of contents

• Cover Page
• Half-Title Page
• Series Page
• Title Page
• Copyright Page
• Dedication Page
• Contents
• Preface
• Author Biography
• 1 Introduction to Python
• 2 Conditionals and Loops
• 3 Data Structures: Strings, Lists, Tuples, and Dictionaries
• 4 Arrays
• 5 Functions
• 6 Object-Oriented Programming
• 7 Reading and Writing to Files
• 8 Plotting in Python
• 9 Optimization
• 10 Image Processing with OpenCV
• 11 Machine Learning
• 12 Neural Networks
• A Installation of Libraries and Packages and Running the 000000 Scripts
• Index