 Название: Python Beyond the Basics: An In-Depth Guide for Advanced Users
Автор: ByteNovus
Издательство: ByteNovus
Год: September 23, 2024
Страниц: 201
Язык: английский
Формат: pdf
Размер: 10.1 MB
Python Beyond the Basics: An In-Depth Guide for Advanced Users is a comprehensive exploration of advanced Python programming concepts. This book is designed for developers who have a strong foundation in Python and are ready to elevate their skills to the next level. Covering topics such as advanced data structures, functional programming, object-oriented design, iterators, generators, and concurrency, this guide offers practical insights and examples for tackling real-world problems. It also delves into Python's data model, testing, debugging, and performance optimization techniques. Whether you're working with Machine Learning, Data Science, or web development, this book provides the tools and techniques necessary to write efficient, scalable, and maintainable Python code.
Advanced class design in Python involves a deep understanding of object-oriented programming principles and the ability to leverage Python's unique features to create robust, scalable, and maintainable code. It is essential for advanced users to grasp the nuances of class inheritance, composition, and the use of metaclasses. By mastering these concepts, developers can construct complex systems that are both efficient and elegant, allowing for easier collaboration and future modifications.
Contents:
Chapter 1: Advanced Data Structures
Chapter 2: Functional Programming in Python
Chapter 3: Object-Oriented Programming Deep Dive
Chapter 4: Python Iterators and Generators
Chapter 5: Context Managers and Resource Management
Chapter 6: Exception Handling Best Practices
Chapter 7: Advanced Modules and Packages
Chapter 8: Python’s Data Model
Chapter 9: Testing and Debugging Techniques
Chapter 10: Performance Optimization
Chapter 11: Python for Data Science
Chapter 12: Web Development with Python
Chapter 13: Concurrency and Parallelism
Chapter 14: Networking in Python
Chapter 15: Working with Databases
Chapter 16: File Handling and Serialization
Chapter 17: Python for Machine Learning
Chapter 18: Building Graphical User Interfaces
Chapter 19: Working with APIs
Chapter 20: Python in DevOps
Chapter 21: Security Practices in Python
Chapter 22: Internationalization and Localization
Chapter 23: Packaging and Distribution
Chapter 24: Python for IoT
Chapter 25: Advanced Regular Expressions
Chapter 26: Memory Management in Python
Chapter 27: Interfacing with C/C++
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