Enhance your Python skills with the third edition of Modern Python Cookbook with 130+ new and updated recipes covering Python 3.12, including new coverage on graphics, visualizations, dependencies, virtual environments, and more.

Key Features

• New chapters on type matching, data visualization, dependency management, and more
• Comprehensive coverage of Python 3.12 with updated recipes and techniques
• Provides practical examples and detailed explanations to solve real-world problems efficiently

Book Description

Python is the go-to language for developers, engineers, data scientists, and hobbyists worldwide. Known for its versatility, Python can efficiently power applications, offering remarkable speed, safety, and scalability. This book distills Python into a collection of straightforward recipes, providing insights into specific language features within various contexts, making it an indispensable resource for mastering Python and using it to handle real-world use cases.

The third edition of Modern Python Cookbook provides an in-depth look into Python 3.12, offering more than 140 new and updated recipes that cater to both beginners and experienced developers. This edition introduces new chapters on documentation and style, data visualization with Matplotlib and Pyplot, and advanced dependency management techniques using tools like Poetry and Anaconda. With practical examples and detailed explanations, this cookbook helps developers solve real-world problems, optimize their code, and get up to date with the latest Python features.

What you will learn

• Master core Python data structures, algorithms, and design patterns
• Implement object-oriented designs and functional programming features
• Use type matching and annotations to make more expressive programs
• Create useful data visualizations with Matplotlib and Pyplot
• Manage project dependencies and virtual environments effectively
• Follow best practices for code style and testing
• Create clear and trustworthy documentation for your projects

Who this book is for

This Python book is for web developers, programmers, enterprise programmers, engineers, and big data scientists. If you are a beginner, this book offers helpful details and design patterns for learning Python. If you are experienced, it will expand your knowledge base. Fundamental knowledge of Python programming and basic programming principles will be helpful

Table of Contents

1. Numbers, Strings, and Tuples
2. Statements and Syntax
3. Function Definitions
4. Built-In Data Structures Part 1: Lists and Sets
5. Built-In Data Structures Part 2: Dictionaries
6. User Inputs and Outputs
7. Basics of Classes and Objects
8. More Advanced Class Design
9. Functional Programming Features
10. Type Matching and Annotations
11. Input/Output, Physical Format, and Logical Layout
12. Graphics and Visualization with Jupyter Lab
13. Application Integration: Configuration
14. Application Integration: Combination
15. Testing
16. Dependencies and Virtual Environments
17. Documentation and Style

The book is split into four sections to help you easily find the recipes you need when you need them

Section one, Python Fundamentals, covers all the essential techniques you need to become an effective Python developer. You’ll explore strings and tuples and go in depth into number types so you can take on a host of advanced numerical programming problems. You’ll see how to use complex statements, type hints, and built-in data structures like lists and dictionaries, and you’ll even dip into debugging with the f-string.

Section two, Object-Oriented and Functional Design Approaches, will take you through a series of recipes for both programming paradigms. You’ll find out how to create classes and related type hints, work with objects, extend built-in classes, and manage resources with context managers. You’ll also be introduced to function definitions, immutable objects, generator expressions, how to create partial functions, and more.

Move from beginner to more advanced topics when you’re ready

Section three, More Sophisticated Designs, will help you solve more advanced Python programming problems. You’ll go deeper into type hints and look at the match statement, explore Pydantic’s uses for strict run-time type-checking, work with paths and files in a wide variety of types (including CSV, JSON, and XML), use Beautiful Soup for extracting data, Jupyter Lab and matplotlib for data analysis and visualization, see how to design larger applications by combining a number of smaller components, and learn to deal with the problems that come from doing so. As you come close to the end of the book, you’ll find recipes on handling configuration files, how to implement the command design pattern, and how you can wrap non-Python tools in Python and use that ability to your advantage by radically rethinking the UX.

Move beyond development and get ready for production

The last section, Completing a Project: Fit and Finish, will help you put everything together so that you can deliver functional and deployable applications. You’ll find recipes on testing, first using built-in solutions like doctest and unittest, and then expanding out to use the external tool pytest. You’ll also find coverage on handling dependencies and managing virtual environments. You’ll use the built-in module venv, but also explore conda, with its pre-built binaries and accessible compiler, and poetry for an all-in-one virtual environment manager and package installer. The section closes with a chapter covering documentation and style. You’ll see how to use tools for linting, to find and remove bugs, how to format your code for quality assurance, and how to use the sphinx tool – which will help you create comprehensive and readable documentation.

About the Author

Steven Lott has been programming since computers were large, expensive, and rare. Working for decades in high tech has given him exposure to a lot of ideas and techniques, some bad, but most are helpful to others. Since the 1990s, Steven has been engaged with Python, crafting an array of indispensable tools and applications. His profound expertise has led him to contribute significantly to Packt Publishing, penning notable titles like "Mastering Object-Oriented," "The Modern Python Cookbook," and "Functional Python Programming." A self-proclaimed technomad, Steven's unconventional lifestyle sees him residing on a boat, often anchored along the vibrant east coast of the US. He tries to live by the words “Don't come home until you have a story.”