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

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)

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

It’s not enough to just build your Arduino projects; it’s time to actually learn how things work! This book will take you through not only how to use the Arduino software and hardware, but more importantly show you how it all works and how the software relates to the hardware. Arduino Software Internals takes a detailed dive into the Arduino environment. We’ll cover the Arduino language, hardware features, and how makers can finally ease themselves away from the hand holding of the Arduino environment and move towards coding in plain AVR C++ and talk to the microcontroller in its native language. What You’ll Learn:How the Arduino Language interfaces with the hardware, as well as how it actually works in C++;How the compilation system works, and how kit can be altered to suit personal requirements;A small amount of AVR Assembly Language;Exactly how to set up and use the various hardware features of the AVR without needing to try and decode the data sheets – which are often bug ridden and unclear;Alternatives to the Arduino IDE which might give them a better workflow;How to build their own Arduino clone from scratch. Who This Book Is For: No expertise is required for this book! All you need is an interest in learning about what you’re making with Arduinos and how they work. This book is also useful for those looking to understand the AVR microcontroller used in the Arduino boards. In other words, all Makers are welcome!

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Master the Powerful Python 3 Standard Library through Real Code Examples “The genius of Doug’s approach is that with 15 minutes per week, any motivated programmer can learn the Python Standard Library. Doug’s guided tour will help you flip the switch to fully power-up Python’s batteries.” –Raymond Hettinger, Distinguished Python Core Developer The Python 3 Standard Library contains hundreds of modules for interacting with the operating system, interpreter, and Internet–all extensively tested and ready to jump-start application development. Now, Python expert Doug Hellmann introduces every major area of the Python 3.x library through concise source code and output examples. Hellmann’s examples fully demonstrate each feature and are designed for easy learning and reuse. You’ll find practical code for working with text, data structures, algorithms, dates/times, math, the file system, persistence, data exchange, compression, archiving, crypto, processes/threads, networking, Internet capabilities, email, developer and language tools, the runtime, packages, and more. Each section fully covers one module, with links to additional resources, making this book an ideal tutorial and reference. The Python 3 Standard Library by Example introduces Python 3.x’s new libraries, significant functionality changes, and new layout and naming conventions. Hellmann also provides expert porting guidance for moving code from 2.x Python standard library modules to their Python 3.x equivalents. Manipulate text with string, textwrap, re (regular expressions), and difflib Use data structures: enum, collections, array, heapq, queue, struct, copy, and more Implement algorithms elegantly and concisely with functools, itertools, and contextlib Handle dates/times and advanced mathematical tasks Archive and data compression Understand data exchange and persistence, including json, dbm, and sqlite Sign and verify messages cryptographically Manage concurrent operations with processes and threads Test, debug, compile, profile, language, import, and package tools Control interaction at runtime with interpreters or the environment

This educational book introduces emerging developers to computer programming through the Python software development language, and serves as a reference book for experienced developers looking to learn a new language or re-familiarize themselves with computational logic and syntax.

Python 3 is the best version of the language yet: It is more powerful, convenient, consistent, and expressive than ever before. Now, leading Python programmer Mark Summerfield demonstrates how to write code that takes full advantage of Python 3’s features and idioms. The first book written from a completely “Python 3” viewpoint, Programming in Python 3 brings together all the knowledge you need to write any program, use any standard or third-party Python 3 library, and create new library modules of your own. Summerfield draws on his many years of Python experience to share deep insights into Python 3 development you won’t find anywhere else. He begins by illuminating Python’s “beautiful heart”: the eight key elements of Python you need to write robust, high-performance programs. Building on these core elements, he introduces new topics designed to strengthen your practical expertise—one concept and hands-on example at a time. This book’s coverage includes Developing in Python using procedural, object-oriented, and functional programming paradigms Creating custom packages and modules Writing and reading binary, text, and XML files, including optional compression, random access, and text and XML parsing Leveraging advanced data types, collections, control structures, and functions Spreading program workloads across multiple processes and threads Programming SQL databases and key-value DBM files Utilizing Python’s regular expression mini-language and module Building usable, efficient, GUI-based applications Advanced programming techniques, including generators, function and class decorators, context managers, descriptors, abstract base classes, metaclasses, and more Programming in Python 3 serves as both tutorial and language reference, and it is accompanied by extensive downloadable example code—all of it tested with the final version of Python 3 on Windows, Linux, and Mac OS X.

If you've mastered Python's fundamentals, you're ready to start using it to get real work done. Programming Python will show you how, with in-depth tutorials on the language's primary application domains: system administration, GUIs, and the Web. You'll also explore how Python is used in databases, networking, front-end scripting layers, text processing, and more. This book focuses on commonly used tools and libraries to give you a comprehensive understanding of Python’s many roles in practical, real-world programming. You'll learn language syntax and programming techniques in a clear and concise manner, with lots of examples that illustrate both correct usage and common idioms. Completely updated for version 3.x, Programming Python also delves into the language as a software development tool, with many code examples scaled specifically for that purpose. Topics include: Quick Python tour: Build a simple demo that includes data representation, object-oriented programming, object persistence, GUIs, and website basics System programming: Explore system interface tools and techniques for command-line scripting, processing files and folders, running programs in parallel, and more GUI programming: Learn to use Python’s tkinter widget library Internet programming: Access client-side network protocols and email tools, use CGI scripts, and learn website implementation techniques More ways to apply Python: Implement data structures, parse text-based information, interface with databases, and extend and embed Python

Get hands-on training on any web crawling/scraping tool and uses of web scraping in the real-time industry Ê KEY FEATURESÊÊ _ Includes numerous use-cases on the use of web scraping for industrial applications. _ Learn how to automate web scraping tasks. _ Explore ready-made syntaxes of Python scripts to run web scraping. DESCRIPTIONÊ A Python Guide for Web Scraping is a book that will give information about the importance of web scraping using Python. It includes real-time examples of web scraping. It implies the automation use cases of web scraping as well. It gives information about the different tools and libraries of web scraping so that readers get a wide idea about the features and existence of web scraping. In this book, we started with the basics of Python and its syntactical information. We briefed about the use cases and features of Python. We have explained the importance of Python in automation systems. Furthermore, we have added information about real-time industrial examples. We have concentrated and deep-dived into PythonÕs importance in web scraping, explained the different tools and their usages. We have explained the real-time industrial domain-wise use cases for web scraping. WHAT YOU WILL LEARN _ Explore the Python syntax and key features of using Python for web scraping. _ Usage of Python in the web scraping tasks and how to automate scraping. _ How to use different libraries and modules of Python. WHO THIS BOOK IS FORÊÊ This book is basically for data engineers and data programmers who have a basic knowledge of Python and for theÊ readers who want to learn about web scraping projects for industries. TABLE OF CONTENTS 1. Python Basics 2. Use Cases of Python 3. Automation Using Python 4. Industrial Automation-Python 5. Web Scraping 6. Web Scraping and Necessity 7. Python - Web Scraping and Different Tools 8. Automation in Web Scraping 9. Use Cases-Web Scraping 10. Industrial Benefits of Web Scraping

"Based on author Mark Lutz's popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It's an ideal way to begin, whether you're new to programming or a professional developer versed in other languages."--Provided by publisher.