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.

Introduction
The Python Programming Language
Getting Started with the Interactive Mode
The Path to the First Program
Control Structures
Files
The Data Model
Functions, Methods, and Attributes
Sources of Information on Python
Basic Data Types: An Overview
Numeric Data Types
Sequential Data Types
Mappings and Sets
Collections
Date and Time
Enumerations and Flags
Functions
Modules and Packages
Object-Oriented Programming
Exception Handling
Generators and Iterators
Context Manager
Decorators
Annotations for Static Type Checking
Structural Pattern Matching
Mathematics
Screen Outputs and Logging
Regular Expressions
Interface to Operating System and Runtime Environment
File System
Parallel Programming
Data Storage
Network Communication
Accessing Resources on the Internet
Email
Debugging and Quality Assurance
Documentation
Distributing Python Projects
Virtual Environments
Alternative Interpreters and Compilers
Graphical User Interfaces
Python as a Server-Side Programming Language on the Web: An Introduction to Django
Scientific Computing and Data Science
Inside Knowledge
From Python 2 to Python 3

Table of contents

Authors

Metrics

PDF ISBN: 978-1-68392-305-3 | E-Pub ISBN: 978-1-80610-246-4 | E-Pub ISBN: 978-1-68392-087-8 | Paperback ISBN: 978-1-68392-086-1 | DOI: https://doi.org/10.1515/9781683923053

Publisher: Mercury Learning and Information

Publication date: 2017

Language: English

Pages: 250

Keywords:

Related subjects:

Programming and languages,