Deep Dive CPython explores the internal mechanics of CPython, the widely used Python interpreter written in C. Starting with a practical guide on downloading and compiling the CPython source, this book is perfect for developers eager to understand Python's behaviour at a fundamental level.

The book takes readers from basic concepts to complex details with a systematic breakdown of core components. It covers everything from CPython's data structures like PyObject and PyTypeObject to object lifecycle management, giving insight into memory allocation and object reference counting. Each chapter illustrates CPython's architecture, such as Python's "everything is an object" philosophy, list handling, string manipulation, and dictionary operations. Readers will explore Python's REPL modifications, string internals, and custom type creation with practical examples, like crafting a "backflipping" PyKitty_Type. Detailed sections on Python's virtual machine operations, bytecode generation, and exception handling enrich readers' understanding of how Python code is parsed, compiled, and executed.

This book is a thorough guide for readers who want to go beyond basic Python use and understand how it works internally. Covering complex concepts like generators, iterators, descriptors, and metaclasses, this book equips readers with a thorough grasp of Python's performance optimization and design complexities.

What you will learn:

• How to download, compile, and modify CPython's source code
• Gain insight into fundamental structures like PyObject and PyTypeObject,
• Understand Python's detailed handling of lists, strings, dictionaries, and the REPL environment.

• What are bytecode generation, custom types, and the inner workings of Python's virtual machine.
  Who this book is for:

  Python programmers aiming to gain a deeper understanding of Python's internals and move beyond standard usage, as well as software professionals interested in CPython's C-based implementation and core architecture.

  Covers CPython's components, from data structures to memory, offering an insider view of Python's architecture Hands-on CPython source code mods, including REPL tweaks, let readers engage with Python's inner workings Covers bytecode and VM operations, enabling readers to optimize Python and gain a deep understanding of its core design

  Autorentext

  Kao Chien Lung is a seasoned programmer with over 25 years of hands-on experience and 15 years as an educator, specializing in JavaScript, Ruby, and Python. He is a respected author of several books on Ruby on Rails and Git published in Taiwan, sharing his in-depth knowledge and insights with a global audience. Kei has also been a featured speaker at conferences and tech events across Asia, including Taiwan and Japan, where he connects with developers and tech enthusiasts on advanced programming techniques and industry trends.

  Inhalt

Chapter 1: Reading the CPython Source Code.- Chapter 2: Overview of the CPython Project Structure.- Chapter 3: Everything Is an Object Part 1.- Chapter 4: How Objects Are Created in CPython.- Chapter 5: Everything is an Object (Part 2).- Chapter 6: Defining a Custom Built-in Type.- Chapter 7: What Happens During Module Import.- Chapter 8: The Internal Representation of Integers.- Chapter 9: Floating-Point Numbers in CPython.- Chapter 10: Inside the String Object Part 1.- Chapter 11: Inside the String Object Part 2.- Chapter 12: What Happens When Python Starts.- Chapter 13: From Source to Bytecode - How .py Becomes .pyc.- Chapter 14: The List Object and Its Internal Management.- Chapter 15: The Dictionary Object Part 1.- Chapter 16: The Dictionary Object Part 2.- Chapter 17: The Tuple Object and Its Immutability.- Chapter 18: Inside the Python VM Code Objects.- Chapter 19: Inside the Python VM Function Objects.- Chapter 20: Inside the Python VM Frame Objects.- Chapter 21: Inside the Python VM Namespaces and Scopes.- Chapter 22: Inside the Python VM Cells and Closures.- Chapter 23: Classes and Where They Come From.- Chapter 24: Class Inheritance in CPython.- Chapter 25: Method Resolution Order and C3 Linearization.- Chapter 26: The Role of super() in Multiple Inheritance.- Chapter 27: The Generator Object and the yield Statement.- Chapter 28: How Iterators Work Internally.- Chapter 29: Understanding Descriptors in Python.- Chapter 30: Exception Handling Internals in CPython.