SPRI | A Beginners Guide To Python 3 Programming, 2nd Edition (2023 EN)

Author: John Hunt
Full Title: A Beginners Guide To Python 3 Programming, 2nd Edition
Publisher: Springer; 2nd ed. 2023 edition (August 31, 2023)
Series: Undergraduate Topics in Computer Science
Year: 2023
ISBN-13: 9783031351228 (978-3-031-35122-8), 9783031351211 (978-3-031-35121-1)
ISBN-10: 3031351223, 3031351215
Pages: 527
Language: English
Genre: Programming
File type: EPUB (True), PDF (True), Code Files
Quality: 10/10
Price: 64.19 €


This textbook is aimed at readers who have little or no knowledge of computer programming but want to learn to program in Python. It starts from the very basics including how to install your Python environment, how to write a very simple program and run it, what a variable is, what an if statement is, how iteration works using for and while loops as well as important key concepts such as functions, classes and modules. Each subject area is prefaced with an introductory chapter, before continuing with how these ideas work in Python.

The second edition has been completely updated for the latest versions of Python including Python 3.11 and Python 3.12. New chapters have been added such as those that consider where and how Python is used, the use of Frozensets, how data can be sorted, enumerated types in Python, structural pattern matching and how (and why) Python Virtual Environments are configured. A new chapter ‘The Python Bites back’ is introduced to present the fourteen most common / biggest gotchas for someone new to Python. Other sections have been updated with new features such as Exception Groups, string operations and dictionary operations.

This book provides all you need to know about Python, with numerous examples provided throughout including several larger worked case studies illustrating the ideas presented in the previous chapters.


Overview:
✓ Presents Python Programming from beginner level principles to advanced topics such as Decorators and Monkey Patching
✓ Includes all code examples (and exercise solutions) online in a GitHub repository
✓ Covers Structured Analysis, Object Oriented Programming and Functional Programming

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