Overview
- 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
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About this book
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.
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Table of contents (30 chapters)
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Front Matter
Authors and Affiliations
About the author
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.
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Bibliographic Information
Book Title: CPython
Book Subtitle: A Complete Guide to CPython's Architecture and Performance
Authors: Chien-Lung Kao
DOI: https://doi.org/10.1007/979-8-8688-1769-4
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Chien-Lung Kao 2025
Softcover ISBN: 979-8-8688-1768-7Published: 19 November 2025
eBook ISBN: 979-8-8688-1769-4Published: 18 November 2025
Edition Number: 1
Number of Pages: XI, 324
Number of Illustrations: 16 b/w illustrations
Topics: Professional Computing, Python