Mastering Concurrency in Python : Create Faster Programs Using Concurrency, Asynchronous, Multithreading, and Parallel Programming

Take your programming skills to next level by mastering concepts of concurrency and parallelism in Python. About This Book Explore the core syntaxes and language features that enable concurrency in Python, Understand when and where to use concurrency to keep data consistent and applications non-blocking, responsive, and reliable A practical approach to utilize application scaffolding to design highly-scalable programs that are deeply rooted in go routines and channels. Who This Book Is For Programmers with some experience with Python wanting to build high-performance applications that scale by leveraging single-core, multicore, or distributed concurrency but have had difficulty following online materials on the topic. Readers should be familiar to Python programming syntax, error handling, and debugging. What You Will Learn Understand the idea of concurrency in programming and relevant concepts such as queues, threads, parallelism. Explore the core syntax and language features that enable concurrency in simple Python problems, namely through concurrent, multiprocessing, asyncio. Understand correct way to implement concurrency Abstract methods to keep the data consistent and application non-blocking, responsive, and reliable. Analyze problems commonly faced in concurrent programming. Utilize application scaffolding to design highly scalable programs that are deeply rooted in goroutines and channels. In Detail Python is one of the most popular programming languages out there, with numerous libraries and frameworks that facilitate high-performance computing. While concurrency and parallelism in Python behave differently than those in other programming languages, it is still in every way possible to implement Python programs that run concurrently or in parallel and make a significant improvement in execution time. Mastering Concurrency in Python serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming. This book starts by introducing the concepts and principles of the most important elements in concurrency, together with common problems that engineers and programmers face in concurrent programming. It then explores Python syntax and various functionalities that support concurrent and parallel programming that Python provides. Next the book discusses a number of advanced concepts in Python concurrency and how they interact with the Python ecosystem, including the aforementioned GIL. Finally, exam ... Immerse yourself in the world of Python concurrency and tackle the most complex concurrent programming problems Key FeaturesExplore the core syntaxes, language features and modern patterns of concurrency in PythonUnderstand how to use concurrency to keep data consistent and applications responsiveUtilize application scaffolding to design highly-scalable programs Book DescriptionPython is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently, but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming. Mastering Concurrency in Python starts by introducing the concepts and principles in concurrency, right from Amdahl's Law to multithreading programming, followed by elucidating multiprocessing programming, web scraping, and asynchronous I/O, together with common problems that engineers and programmers face in concurrent programming. Next, the book covers a number of advanced concepts in Python concurrency and how they interact with the Python ecosystem, including the Global Interpreter Lock (GIL). Finally, you'll learn how to solve real-world concurrency problems through examples. By the end of the book, you will have gained extensive theoretical knowledge of concurrency and the ways in which concurrency is supported by the Python language What you will learnExplore the concepts of concurrency in programmingExplore the core syntax and features that enable concurrency in PythonUnderstand the correct way to implement concurrencyAbstract methods to keep the data consistent in your programAnalyze problems commonly faced in concurrent programmingUse application scaffolding to design highly-scalable programsWho this book is forThis book is for developers who wish to build high-performance applications and learn about signle-core, multicore programming or distributed concurrency. Some experience with Python programming language is assumed. Table of ContentsConcurrent and Parallel Programming - An Advanced IntroductionAmdahls LawWorking with Threads in PythonUsing the with Statement in ThreadsConcurrent Web ScrapingWorking with Processes in PythonThe Reduction Operation in ProcessesConcurrent Image ProcessingIntroduction to Asynchronous I/ Pros and ConsTCP with AsyncioDeadlockStarvationRace ConditionsThe Global Interpreter LockDesigning Lock-Free and Lock-Based Concurrent Data StructuresMemory Models and Operations on Atomic TypesBuilding a Server from ScratchTesting, Debugging, and Scheduling Concurrent Applications Getting the most out of Python to improve your codebase Key Features Save maintenance costs by learning to fix your legacy codebase Learn the principles and techniques of refactoring Apply microservices to your legacy systems by implementing practical techniques Book Description Python is currently used in many different areas such as software construction, systems administration, and data processing. In all of these areas, experienced professionals can find examples of inefficiency, problems, and other perils, as a result of bad code. After reading this book, readers will understand these problems, and more importantly, how to correct them. The book begins by describing the basic elements of writing clean code and how it plays an important role in Python programming. You will learn about writing efficient and readable code using the Python standard library and best practices for software design. You will learn to implement the SOLID principles in Python and use decorators to improve your code. The book delves more deeply into object oriented programming in Python and shows you how to use objects with descriptors and generators. It will also show you the design principles of software testing and how to resolve software problems by implementing design patterns in your code. In the final chapter we break down a monolithic application to a microservice one, starting from the code as the basis for a solid platform. By the end of the book, you will be proficient in applying industry approved coding practices to design clean, sustainable and readable Python code. What you will learn Set up tools to effectively work in a development environment Explore how the magic methods of Python can help us write better code Examine the traits of Python to create advanced object-oriented design Understand removal of duplicated code using decorators and descriptors Effectively refactor code with the help of unit tests Learn to implement the SOLID principles in Python Who this book is for This book will appeal to team leads, software architects and senior software engineers who would like to work on their legacy systems to save cost and improve efficiency. A strong understanding of Programming is assumed. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and registe .. Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects. Key Features Learn the fundamentals of Python programming with interactive projects Apply Python to data science with tools such as IPython and Jupyter Utilize Python for web development and build a real-world app using Django Book Description Learn Python Programming is a quick, thorough, and practical introduction to Python - an extremely flexible and powerful programming language that can be applied to many disciplines. Unlike other books, it doesn't bore you with elaborate explanations of the basics but gets you up-and-running, using the language. You will begin by learning the fundamentals of Python so that you have a rock-solid foundation to build upon. You will explore the foundations of Python programming and learn how Python can be manipulated to achieve results. Explore different programming paradigms and find the best approach to a situation; understand how to carry out performance optimization and effective debugging; control the flow of a program; and utilize an interchange format to exchange data. You'll also walk through cryptographic services in Python and understand secure tokens. Learn Python Programming will give you a thorough understanding of the Python language. You'll learn how to write programs, build websites, and work with data by harnessing Python's renowned data science libraries. Filled with real-world examples and projects, the book covers various types of applications, and concludes by building real-world projects based on the concepts you have learned. What you will learn Get Python up and running on Windows, Mac, and Linux Explore fundamental concepts of coding using data structures and control flow Write elegant, reusable, and efficient code in any situation Understand when to use the functional or OOP approach Cover the basics of security and concurrent/asynchronous programming Create bulletproof, reliable software by writing tests Build a simple website in Django Fetch, clean, and manipulate data Who this book is for Learn Python Programming is for individuals with relatively little experience in coding or Python. It's also ideal for aspiring programmers who need to write scripts or programs to accomplish tasks. The book shows you how to create a full-fledged application. Downloading the example code for this book You can download the example .. Build A Solid Foundation In Coding By Utilizing The Language And Its Core Characteristics Key Features Leverage The Features Of Python Programming Through Easy-to-follow Examples Develop A Strong Set Of Programming Skills That Can Be Applied On All Platforms Create Guis And Data Science-based Applications Book Description Learn Python Programming Creates A Foundation For Those Who Are Interested In Developing Their Skills In Python Programming. The Book Starts With The Fundamentals Of Programming With Python And Ends By Exploring Different Topics Such As Guis And Real-world Apps. You Will Begin By Exploring The Foundations Of And Fundamental Topics On Python And Learn To Manipulate Them. Then, You'll Explore Different Programming Paradigms That Will Allow You To Find The Best Approach To A Situation, And You'll Also Understand How To Carry Out Performance Optimization As Well As Effective Debugging. As You Make Your Way Through The Chapters, You'll Control The Flow Of A Program, And Persist And Utilize An Interchange Format To Exchange Data. You'll Also Walk Through Cryptographic Services In Python And Understand Secure Tokens. Throughout, The Book Covers Various Types Of Applications, And It Concludes With Building Real-world Applications Based On All The Concepts That You Learned. By The End Of The Book, You'll Have A Proper Understanding Of The Python Language And A Solid Grasp On How To Work With Data. You'll Know How To Quickly Build A Website And Harness The Power Of Python's Renowned Data Science Libraries. What You Will Learn Get Python Up And Running On Windows, Mac, And Linux Grasp Fundamental Concepts Of Coding Using Data Structures And Control Flow Write Elegant, Reusable, And Efficient Code In Any Situation Understand When To Use The Functional Or Object-oriented Programming (oop) Approach Walk Through The Basics Of Security And Concurrent/asynchronous Programming Create Bulletproof, Reliable Software By Writing Tests Explore Examples Of Guis, Scripting, And Data Science Who This Book Is For Learn Python Programming Is For Individuals With Relatively Little Experience In Coding Or Python. It's Also Ideal For Aspiring Programmers Who Need To Write Scripts Or Programs To Accomplish Tasks. The Book Takes You All The Way To Creating A Full-fledged Application. Immerse yourself in the world of Python concurrency and tackle the most complex concurrent programming problems Key Features Explore the core syntaxes, language features and modern patterns of concurrency in Python Understand how to use concurrency to keep data consistent and applications responsive Utilize application scaffolding to design highly-scalable programs Book Description Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently, but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming. Mastering Concurrency in Python starts by introducing the concepts and principles in concurrency, right from Amdahl's Law to multithreading programming, followed by elucidating multiprocessing programming, web scraping, and asynchronous I/O, together with common problems that engineers and programmers face in concurrent programming. Next, the book covers a number of advanced concepts in Python concurrency and how they interact with the Python ecosystem, including the Global Interpreter Lock (GIL). Finally, you'll learn how to solve real-world concurrency problems through examples. By the end of the book, you will have gained extensive theoretical knowledge of concurrency and the ways in which concurrency is supported by the Python language What you will learn Explore the concepts of concurrency in programming Explore the core syntax and features that enable concurrency in Python Understand the correct way to implement concurrency Abstract methods to keep the data consistent in your program Analyze problems commonly faced in concurrent programming Use application scaffolding to design highly-scalable programs Who this book is for This book is for developers who wish to build high-performance applications and learn about signle-core, multicore programming or distributed concurrency. Some experience with Python programming language is assumed. BImmerse yourself in the world of Python concurrency and tackle the most complex concurrent programming problems/b h4Key Features/h4 ulliExplore the core syntaxes, language features and modern patterns of concurrency in Python /li liUnderstand how to use concurrency to keep data consistent and applications responsive /li liUtilize application scaffolding to design highly-scalable programs /li /ul h4Book Description/h4 Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently, but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming. Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming. COM051280 - COMPUTERS / Programming Languages / Java,COM051220 - COMPUTERS / Programming / Parallel,COM048000 - COMPUTERS / Systems Architecture / Distributed Systems and Computing Table of ContentsConcurrent and Parallel Programming - An Advanced IntroductionAmdahl's LawWorking with Threads in PythonUsing the 'with' Statement in ThreadsConcurrent Web ScrapingWorking with Processes in PythonThe Reduction Operation in ProcessesConcurrent Image ProcessingIntroduction to Asynchronous I/OAsyncio: Pros and ConsTCP with AsyncioDeadlockStarvationRace ConditionsThe Global Interpreter LockDesigning Lock-Free and Lock-Based Concurrent Data StructuresMemory Models and Operations on Atomic TypesBuilding a Server from ScratchTesting, Debugging, and Scheduling Concurrent Applications