Python 3: The Comprehensive Guide
About this ebook
Key Features
Offers an all-in-one resource spanning syntax, libraries, and frameworks
Designed to meet real-world demands across development and data workflows
Structured for progressive learning from foundations to deployment scenarios
Book Description
This in-depth guide to Python 3 begins by helping readers install the language and understand its core syntax through interactive exploration. Early chapters cover variables, control structures, functions, and data types like lists, tuples, dictionaries, and sets. Readers then move into file handling, error management, and object-oriented programming, building a solid foundation for real-world development.
As the journey continues, the book introduces advanced concepts including decorators, generators, type hints, structural pattern matching, and context managers. It thoroughly explores the Python standard library, with practical applications in math, file systems, logging, regular expressions, parallel processing, and debugging. Readers also learn how to manage packages, virtual environments, and distributions.
Later chapters shift to applied development—building GUIs with tkinter and PySide6, creating web applications with Django, and working with scientific tools like NumPy, pandas, and SciPy. The book concludes with insights on using alternative interpreters, localization, and migrating from Python 2 to 3. This resource grows with the reader, from basics to expert-level Python programming.
What you will learn
Explore Python syntax, control flow, and core structures
Implement object-oriented and modular program designs
Manage files, exceptions, and system-level interactions
Navigate built-in types like lists, sets, and dictionaries
Create web, GUI, and network apps using standard libraries
Apply scientific tools like NumPy, pandas, and matplotlib
Who this book is for
Aimed at developers, data scientists, engineers, and computer science students, this book assumes a basic understanding of programming logic but no prior Python experience. It suits both self-learners and those in formal education or technical professions.
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About the author
The Rheinwerk Computing series offers new and established professional comprehensive guidance to enrich the readers' skillsets and enhance their career prospects. Their publications are written by leading experts in the fields of programming, administration, security, analytics, and more. Each book is detailed and hands-on to help readers develop essential, practical skills that they can apply to their daily work.
Johannes Ernesti is a research scientist at DeepL. He is a graduate mathematician and received his doctorate in applied mathematics from the Karlsruhe Institute of Technology (KIT).
Peter Kaiser is a research scientist at DeepL. He has a degree in computer science and received a doctorate in humanoid robotics from the Karlsruhe Institute of Technology (KIT).
