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

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)

Deroute the syntactical way and start exploring the language from the source KEY FEATURES ● In-depth practical understanding of CPython's internal workings. ● Step-by-step source code walkthrough utilizing descriptors on source code lines. ● Cutting-edge coverage of the interpreter, GIL, compilation, and memory allocations to help you develop better systems. DESCRIPTION Internals of Python 3.x transform a programmer's learning path by emphasizing the source code over the syntax to teach things from the ground up in nearly the same amount of time and effort. The book delves into the structure and distinctions between the primary Python object and iterable objects. The iterable types, namely, lists and tuples, have been thoroughly defined in the structure and operations. The internals of sets and dictionaries, which are data structures that provide O(1) insertion and search, have been thoroughly discussed. Memory allocation explains how Python handles memory for tiny and large objects. The chapter on GIL explains how the GIL works, which is halted by a semaphore and a conditional variable. The chapter on Async Python describes how the async module generates coroutines and async functions that can be executed on an event loop and interact through events. After reading this book, you will be more confident to create high-performance code on a day-to-day basis. WHAT YOU WILL LEARN ● Utilize data structures effectively for a variety of application functions. ● Discover how to optimize Python code performance. ● Develop an understanding of memory optimization and how to design programs accordingly. ● Investigate the inner working of GIL and Interpreter in detail. ● Recognize the internals of the garbage collection and reference counting processes. WHO THIS BOOK IS FOR This book is intended for Python practitioners, new coding aspirants, and experienced Python developers who want to construct their frameworks and libraries by investigating tokenizers, parsers, code compilers, interpreters, memory management, GIL, and garbage collection. Prior programming skills in C may help you get the most out of this book. TABLE OF CONTENTS 1. Design of Generic Objects 2. Basic Python Types 3. Iterable Sequence Objects 4. Set and Dictionary 5. Functions and Generators 6. Memory Management 7. Interpreter and Opcodes 8. GIL and Multithreading 9. Async Python 10. Source Code Layout and the Compiler Stages

Once you've mastered the basics of Python, how do you skill up to the top 1%? How do you focus your learning time on topics that yield the most benefit for production engineering and data teams—without getting distracted by info of little real-world use? This book answers these questions and more. Based on author Aaron Maxwell's software engineering career in Silicon Valley, this unique book focuses on the Python first principles that act to accelerate everything else: the 5% of programming knowledge that makes the remaining 95% fall like dominos. It's also this knowledge that helps you become an exceptional Python programmer, fast. Learn how to think like a Pythonista: explore advanced Pythonic thinking Create lists, dicts, and other data structures using a high-level, readable, and maintainable syntax Explore higher-order function abstractions that form the basis of Python libraries Examine Python's metaprogramming tool for priceless patterns of code reuse Master Python's error model and learn how to leverage it in your own code Learn the more potent and advanced tools of Python's object system Take a deep dive into Python's automated testing and TDD Learn how Python logging helps you troubleshoot and debug more quickly

An indispensable collection of practical tips and real-world advice for tackling common Python problems and taking your code to the next level. Features interviews with high-profile Python developers who share their tips, tricks, best practices, and real-world advice gleaned from years of experience. Sharpen your Python skills as you dive deep into the Python programming language with Serious Python. You'll cover a range of advanced topics like multithreading and memorization, get advice from experts on things like designing APIs and dealing with databases, and learn Python internals to help you gain a deeper understanding of the language itself. Written for developers and experienced programmers, Serious Python brings together over 15 years of Python experience to teach you how to avoid common mistakes, write code more efficiently, and build better programs in less time. As you make your way through the book's extensive tutorials, you'll learn how to start a project and tackle topics like versioning, layouts, coding style, and automated checks. You'll learn how to package your software for distribution, optimize performance, use the right data structures, define functions efficiently, pick the right libraries, build future-proof programs, and optimize your programs down to the bytecode. You'll also learn how to: - Make and use effective decorators and methods, including abstract, static, and class methods - Employ Python for functional programming using generators, pure functions, and functional functions - Extend flake8 to work with the abstract syntax tree (AST) to introduce more sophisticated automatic checks into your programs - Apply dynamic performance analysis to identify bottlenecks in your code - Work with relational databases and effectively manage and stream data with PostgreSQL If you've been looking for a way to take your Python skills from good to great, Serious Python will help you get there. Learn from the experts and get seriously good at Python with Serious Python!

If you’re new to Python, it can be tough to understand when, where, and how to use all its language features. This friendly guide shows you how the Python ecosystem fits together, and grounds you in the skills you need to continue your journey to being a software developer. Summary Inside The Well-Grounded Python Developer you will discover: Building modules of functionality Creating a well-constructed web server application Integrating database access into your Python applications Refactor and decoupling systems to help scale them How to think about the big picture of your application The Well-Grounded Python Developer builds on Python skills you’ve learned in isolation and shows you how to unify them into a meaningful whole. It helps you understand the dizzying array of libraries and teaches important concepts, like modular construction, APIs, and the design of a basic web server. As you work through this practical guide, you’ll discover how all the bits of Python link up as you build and modify a typical web server application—the kind of web app that’s in high demand by modern businesses. About the technology As a new programmer, you’re happy just to see your code run. A professional developer, on the other hand, needs to create software that runs reliably. It must be fast, maintainable, scalable, secure, well designed and documented, easy for others to update, and quick to ship. This book teaches you the skills you need to go from Python programmer to Python developer. About the book The Well-Grounded Python Developer shows you why Python, the world’s most popular programming language, is a fantastic tool for professional development. It guides you through the most important skills, like how to name variables, functions, and classes, how to identify and write a good API, and how to use objects. You’ll also learn how to deal with inevitable failures, how to make software that connects to the internet, core security practices, and many other professional-grade techniques. What's inside Create a web application Connect to a database Design programs to handle big tasks About the reader For experienced beginners who want to learn professional-level skills. About the author Doug Farrell has been a professional developer since 1983, and has worked with Python for over 20 years. Table of Contents 1 Becoming a Pythonista PART 1 - GROUNDWORK 2 That’s a good name 3 The API: Let’s talk 4 The object of conversation 5 Exceptional events PART 2 - FIELDWORK 6 Sharing with the internet 7 Doing it with style 8 Do I know you? Authentication 9 What can you do? Authorization 10 Persistence is good: Databases 11 I’ve got something to say 12 Are we there yet?

The traditional computer science courses for engineering focus on the fundamentals of programming without demonstrating the wide array of practical applications for fields outside of computer science. Thus, the mindset of “Java/Python is for computer science people or programmers, and MATLAB is for engineering” develops. MATLAB tends to dominate the engineering space because it is viewed as a batteries-included software kit that is focused on functional programming. Everything in MATLAB is some sort of array, and it lends itself to engineering integration with its toolkits like Simulink and other add-ins. The downside of MATLAB is that it is proprietary software, the license is expensive to purchase, and it is more limited than Python for doing tasks besides calculating or data capturing. This book is about the Python programming language. Specifically, it is about Python in the context of mechanical and aerospace engineering. Did you know that Python can be used to model a satellite orbiting the Earth? You can find the completed programs and a very helpful 595 page NSA Python tutorial at the book’s GitHub page at https://www.github.com/alexkenan/pymae. Read more about the book, including a sample part of Chapter 5, at https://pymae.github.io