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    Modern Python Cookbook: 140+ Updated Recipes for Modern Python 3.12 with New Techniques and Tools, 3rd Edition

    Posted By: tarantoga
    Modern Python Cookbook: 140+ Updated Recipes for Modern Python 3.12 with New Techniques and Tools, 3rd Edition

    Steven F. Lott, "Modern Python Cookbook: 140+ Updated Recipes for Modern Python 3.12 with New Techniques and Tools, 3rd Edition "
    English | ISBN: 1835466389 | 2024 | EPUB | 450 pages | 7 MB

    Enhance your Python skills with the third edition of Modern Python Cookbook with over 140 new and updated recipes covering Python 3.12, including new chapters on performance, optimization, data visualization, and more.
    Key Features

    Comprehensive coverage of Python 3.12 with updated recipes and techniques
    New chapters on performance optimization, data visualization, and dependency management
    Practical, concrete examples and detailed explanations to solve real-world problems

    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 performance and optimization, data visualization with Matplotlib, Seaborn, and Plotly, 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
    Optimize code performance and resource efficiency using profiling tools
    Create useful data visualizations with Matplotlib, Seaborn, and Plotly
    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 can provide helpful details and design patterns. If you are experienced, it will expand your knowledge base. Some fundamental knowledge of Python and basic programming principles would be helpful.
    Table of Contents

    Numbers, Strings, and Tuples
    Statements and Syntax
    Function Definitions
    Built-In Data Structures Part 1: Lists and Sets
    Built-In Data Structures Part 2: Dictionaries
    User Inputs and Outputs
    Basics of Classes and Objects
    More Advanced Class Design
    Functional Programming Features
    Type Matching and Annotations
    Input/Output, Physical Format, and Logical Layout
    Graphics and Visualization
    Application Integration: Configuration
    Application Integration: Combining Applications
    Testing
    Performance and Optimization
    Dependencies and Virtual Environments
    Documentation and Style