Python Programming Using Problem Solving (Paperback)

Harsh Bhasin

ISBN 10: 1683928628 / ISBN 13: 9781683928621

Published by Mercury Learning & Information, 2023

About this Item

Paperback. Python is a robust, procedural, object-oriented, and functional language. The features of the language make it valuable for web development, game development, business, and scientific programming. This book deals with problem-solving and programming in Python. It concentrates on the development of efficient algorithms, the syntax of the language, and the ability to design programs in order to solve problems. In addition to standard Python topics, the book has extensive coverage of NumPy, data visualization, and Matplotlib. Numerous types of exercises, including theoretical, programming, and multiple-choice, reinforce the concepts covered in each chapter. Python is a robust, procedural, object-oriented, and functional language. This book deals with problem-solving and programming in Python. It concentrates on the development of efficient algorithms, the syntax of the language, and the ability to design programs in order to solve problems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9781683928621

Bibliographic Details

• Title: Python Programming Using Problem Solving (Paperback)
• Publisher: Mercury Learning & Information
• Publication Date: 2023
• Language: English
• ISBN 10: 1683928628
• ISBN 13: 9781683928621
• Binding: Paperback
• Condition: new

About this title

Synopsis

Python is a robust, procedural, object-oriented, and functional language. The features of the language make it valuable for web development, game development, business, and scientific programming. This book deals with problem-solving and programming in Python. It concentrates on the development of efficient algorithms, the syntax of the language, and the ability to design programs in order to solve problems. In addition to standard Python topics, the book has extensive coverage of NumPy, data visualization, and Matplotlib. Numerous types of exercises, including theoretical, programming, and multiple-choice, reinforce the concepts covered in each chapter.

About the Author

Harsh Bhasin, PhD is a machine learning consultant who has taught numerous university level courses and has written several books in the area of computer science, including Programming in C# and also Design and Analysis of Algorithms (both Oxford University Press).