Introduction to Python: With Applications in Optimization, Image and Video Processing, and Machine Learning

This book provides an introduction to Python programming with applications in optimization, image and video processing, and machine learning. It is written for advanced undergraduate and graduate students in quantitative sciences and can also serve as a self-contained handbook for professionals. The book covers introductory and advanced material and includes solutions manual, code, and additional examples.

Format: Paperback / softback
Length: 436 pages
Publication date: 02 July 2024
Publisher: Taylor & Francis Ltd

Python is a versatile programming language that has gained widespread popularity in various fields, including mathematics, computer science, engineering, finance, and more. This book, Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning, is designed specifically for advanced undergraduate and graduate students in quantitative sciences. It serves as a comprehensive handbook for professionals working in quantitative fields, providing a solid foundation in Python programming.

The book is written in a clear and concise manner, making it accessible to students with no prior experience of Python. However, it also includes more advanced material that can benefit those who are already familiar with the language. The book covers a wide range of topics, including introductory and advanced material. The advanced material includes topics such as lists, dictionaries, tuples, arrays, plotting using Matplotlib, and object-oriented programming.

One of the key features of this book is its suitability as a textbook for advanced undergraduates or postgraduates. It provides a comprehensive coverage of Python programming, including all the essential concepts and techniques. The book is also well-suited as a reference for researchers and professionals who need to use Python in their work.

In addition to the main text, the book includes a solutions manual, code, and additional examples that can be downloaded for further reference. The solutions manual provides detailed explanations of the solutions to all the exercises and problems in the book, while the code and examples can help students apply the concepts they have learned to real-world scenarios.

Overall, Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning is an excellent resource for anyone who wants to learn Python programming and apply it in quantitative fields. Whether you are a student, researcher, or professional, this book will provide you with the knowledge and skills you need to succeed in your endeavors.

Weight: 740g
Dimension: 233 x 155 x 24 (mm)
ISBN-13: 9781032119106