Introduction to Python:With Applications in Optimization, Image and Video Processing, and Machine Leaing (Chapman & Hall/CRC The Python Series)

by: David Báez-López (Author),David Alfredo Báez Villegas(Author)

Publisher: Chapman and Hall/CRC
Edition:1st

Publication Date: July 2, 2024

Language: English

Print Length: 436 pages

ISBN-10: 1032119101

ISBN-13: 9781032119106

Book Description

Introduction to Python:with Applications in Optimization, Image and Video Processing, and Machine Leaing 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.FeaturesCovers introductory and advanced material. Advanced material includes lists, dictionaries, tuples, arrays, plotting using Matplotlib, object-oriented programmingSuitable as a textbook for advanced undergraduates or postgraduates, or as a reference for researchers and professionalsSolutions manual, code, and additional examples are available for download
About the Author
Introduction to Python:with Applications in Optimization, Image and Video Processing, and Machine Leaing 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.FeaturesCovers introductory and advanced material. Advanced material includes lists, dictionaries, tuples, arrays, plotting using Matplotlib, object-oriented programmingSuitable as a textbook for advanced undergraduates or postgraduates, or as a reference for researchers and professionalsSolutions manual, code, and additional examples are available for download Read more