Python Internals For Developers
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Python Internals for Developers
Author: Sonam Chawla Bhatia
language: en
Publisher: BPB Publications
Release Date: 2021-12-31
Concise Interpretation of every essential element of Python with Use-cases KEY FEATURES ● Numerous examples and solutions to assist beginners in understanding the concept. ● Contains visual representations of data structures. ● Demonstrations of how to use data structures with a Python implementation. DESCRIPTION This book will aid you in your learning of the Python 3.x programming language. The chapters in this book will benefit every aspect of a programmer's or developer's life by preparing them to solve problems using Python programming and its key data structures and internals. This book explains the built-in and user-defined data structures in Python 3.x. The book begins by introducing Python, its fundamental data structures, and asymptotic notations. Once you master the fundamentals of Python, you'll be able to fully comprehend the built-in data structures. The book covers real-world applications to understand user-defined data structures and their actual implementation. Towards the end, it will help you investigate how to solve practical problems by first comprehending the issue at hand. After reading this book, you will be able to identify data structures and utilize them to solve a specific problem. You will learn about various algorithm implementations in Python and use this knowledge to advance your Python skills. WHAT YOU WILL LEARN ● Calculate the complexity of time and space using asymptotic notations. ● Discover Python 3.x's built-in and user-defined data structures. ● Create user-defined data structures from the bottom up. ● Make use of libraries to create new user-defined data structures. ● Determine and implement the most appropriate data structure for resolving issues. WHO THIS BOOK IS FOR This book caters to those who want to enhance their careers as application developers, machine learning engineers, or researchers. Knowing basic programming concepts will be good, but not mandatory. TABLE OF CONTENTS 1. Python 2. Data Types 3. Algorithm Analysis 4. Data Structure Introduction 5. List 6. Dictionary 7. Tuple 8. Sets 9. Arrays 10. Stack 11. Queue 12. Trees 13. Linked Lists 14. Graphs 15. HashMaps 16. Practical Problem Solutions
CPython Internals
Get your guided tour through the Python 3.9 interpreter: Unlock the inner workings of the Python language, compile the Python interpreter from source code, and participate in the development of CPython. Are there certain parts of Python that just seem like magic? This book explains the concepts, ideas, and technicalities of the Python interpreter in an approachable and hands-on fashion. Once you see how Python works at the interpreter level, you can optimize your applications and fully leverage the power of Python. By the End of the Book You'll Be Able To: Read and navigate the CPython 3.9 interpreter source code. You'll deeply comprehend and appreciate the inner workings of concepts like lists, dictionaries, and generators. Make changes to the Python syntax and compile your own version of CPython, from scratch. You'll customize the Python core data types with new functionality and run CPython's automated test suite. Master Python's memory management capabilities and scale your Python code with parallelism and concurrency. Debug C and Python code like a true professional. Profile and benchmark the performance of your Python code and the runtime. Participate in the development of CPython and know how to contribute to future versions of the Python interpreter and standard library. How great would it feel to give back to the community as a "Python Core Developer?" With this book you'll cover the critical concepts behind the internals of CPython and how they work with visual explanations as you go along. Each page in the book has been carefully laid out with beautiful typography, syntax highlighting for code examples. What Python Developers Say About The Book: "It's the book that I wish existed years ago when I started my Python journey. [...] After reading this book your skills will grow and you will be able solve even more complex problems that can improve our world." - Carol Willing, CPython Core Developer & Member of the CPython Steering Council "CPython Internals is a great (and unique) resource for anybody looking to take their knowledge of Python to a deeper level." - Dan Bader, Author of Python Tricks "There are a ton of books on Python which teach the language, but I haven't really come across anything that would go about explaining the internals to those curious minded." - Milan Patel, Vice President at (a major investment bank)
Mastering Object-Oriented Programming with Python: Unlock the Secrets of Expert-Level Skills
"Mastering Object-Oriented Programming with Python: Unlock the Secrets of Expert-Level Skills" is an invaluable resource for experienced Python developers looking to elevate their software craftsmanship. This book delves deeply into advanced object-oriented principles, offering a comprehensive guide to mastering the intricacies of Python's object model. With its thorough coverage on inheritance, polymorphism, and encapsulation, readers will gain insights into designing flexible, scalable systems that embody the core strengths of the object-oriented paradigm. The text meticulously explores the integration of Python's dynamic capabilities with proven design patterns, as well as novel techniques such as metaprogramming and functional integration. Readers will benefit from clear, practical examples that illuminate complex concepts, enabling them to adopt sophisticated strategies like concurrency, abstract base classes, and cutting-edge database interactions. By synthesizing functional and object-oriented principles, this book ensures developers can construct elegant, efficient, and robust solutions across diverse domains. Beyond in-depth technical know-how, the book places strong emphasis on quality assurance through comprehensive sections on testing and debugging. By leveraging modern practices like automated testing and continuous integration, readers will learn to deliver resilient and high-performing software. Whether for refining existing skills or expanding into new areas like asynchronous programming and NoSQL integration, this book is the definitive guide for achieving expert-level proficiency in object-oriented Python development.