A comprehensive guide to help you understand the principles of Reactive and asynchronous programming and its benefits Key FeaturesExplore the advantages of Reactive programmingUse concurrency and parallelism in RxPY to build powerful reactive applicationsDeploy and scale your reactive applications using DockerBook Description Reactive programming is central to many concurrent systems, but it’s famous for its steep learning curve, which makes most developers feel like they're hitting a wall. With this book, you will get to grips with reactive programming by steadily exploring various concepts This hands-on guide gets you started with Reactive Programming (RP) in Python. You will learn abouta the principles and benefits of using RP, which can be leveraged to build powerful concurrent applications. As you progress through the chapters, you will be introduced to the paradigm of Functional and Reactive Programming (FaRP), observables and observers, and concurrency and parallelism. The book will then take you through the implementation of an audio transcoding server and introduce you to a library that helps in the writing of FaRP code. You will understand how to use third-party services and dynamically reconfigure an application. By the end of the book, you will also have learned how to deploy and scale your applications with Docker and Traefik and explore the significant potential behind the reactive streams concept, and you'll have got to grips with a comprehensive set of best practices. What you will learnStructure Python code for better readability, testing, and performanceExplore the world of event-based programmingGrasp the use of the most common operators in RxUnderstand reactive extensions beyond simple examplesMaster the art of writing reusable componentsDeploy an application on a cloud platform with Docker and TraefikWho this book is for If you are a Python developer who wants to learn Reactive programming to build powerful concurrent and asynchronous applications, this book is for you. Basic understanding of the Python language is all you need to understand the concepts covered in this book.

A comprehensive guide to help you understand the principles of Reactive and asynchronous programming and its benefits Key Features Explore the advantages of Reactive programming Use concurrency and parallelism in RxPY to build powerful reactive applications Deploy and scale your reactive applications using Docker Book Description Reactive programming is central to many concurrent systems, but it's famous for its steep learning curve, which makes most developers feel like they're hitting a wall. With this book, you will get to grips with reactive programming by steadily exploring various concepts This hands-on guide gets you started with Reactive Programming (RP) in Python. You will learn abouta the principles and benefits of using RP, which can be leveraged to build powerful concurrent applications. As you progress through the chapters, you will be introduced to the paradigm of Functional and Reactive Programming (FaRP), observables and observers, and concurrency and parallelism. The book will then take you through the implementation of an audio transcoding server and introduce you to a library that helps in the writing of FaRP code. You will understand how to use third-party services and dynamically reconfigure an application. By the end of the book, you will also have learned how to deploy and scale your applications with Docker and Traefik and explore the significant potential behind the reactive streams concept, and you'll have got to grips with a comprehensive set of best practices. What you will learn Structure Python code for better readability, testing, and performance Explore the world of event-based programming Grasp the use of the most common operators in Rx Understand reactive extensions beyond simple examples Master the art of writing reusable components Deploy an application on a cloud platform with Docker and Traefik Who this book is for If you are a Python developer who wants to learn Reactive programming to build powerful concurrent and asynchronous applications, this book is for you. Basic understanding of the Python language is all you need to understand the concepts covered in this book.

Create and implement reactive applications with PythonAbout This Book*See the intricate details and advantages associated with reactive programming*There are broad spectrums of topics covered to help new Python developers refine their skills as application developer*This step-by-step comprehensive guide will help you build fast, concurrent applicationsWho This Book Is ForThis book is for Python developers who are planning to build a reactive application. Knowledge of Python is essential for this book.What You Will Learn*Understand event-based and asynchronous programming*Become acquainted with Reactive extensions for Python*Explore the mechanics of a popular RP programming tool (RxPY)*Create, compose, process, and listen to event streams*See how to deal with concurrency and scheduling*Use Reactive Programming with popular Python frameworks such as Qt and Tornado*Understand virtual time and see how to unit test reactive code*See how to deal with resource management and error handling*Build custom operators to target specific needs with your application*Comprehend the difference between hot and cold event streamsIn DetailReactive Programming (RP) is central to many concurrent systems, but is famous for its steep learning curve where many developers feel like they're hitting a wall. This practical guide will take you steadily through an exploration of RP.We'll cover the major libraries on Python reactive extensions (RxPY). We'll show you the role of asynchronous programming and event-based programming in detail to build reactive extensions. RP comes in many flavours and we will look at some of them in this book. We present several examples of Reactive applications implemented in various frameworks, so you'll develop an understanding of the subject. The book not only guides you about the 140 operators in Rx, but will focus on making you understand reactive programming and the most common operators.By the end of the book, you will be equipped to solve real-world problems and have a clear understanding of when and how you should use the different approaches demonstrated. You will start to see the world with new eyes and will not be able to code things the "old" way anymore.

Advanced Guide to Python 3 Programming 2nd Edition delves deeply into a host of subjects that you need to understand if you are to develop sophisticated real-world programs. Each topic is preceded by an introduction followed by more advanced topics, along with numerous examples, that take you to an advanced level. This second edition has been significantly updated with two new sections on advanced Python language concepts and data analytics and machine learning. The GUI chapters have been rewritten to use the Tkinter UI library and a chapter on performance monitoring and profiling has been added. In total there are 18 new chapters, and all remaining chapters have been updated for the latest version of Python as well as for any of the libraries they use. There are eleven sections within the book covering Python Language Concepts, Computer Graphics (including GUIs), Games, Testing, File Input and Output, Databases Access, Logging, Concurrency and Parallelism, Reactive Programming, Networking and Data Analytics. Each section is self-contained and can either be read on its own or as part of the book as a whole. It is aimed at those who have learnt the basics of the Python 3 language but wish to delve deeper into Python’s eco system of additional libraries and modules.

Learn functional programming concepts and techniques to build Python applicationsKey Features* Study in detail all aspects of functional programming, including immutability, generators, and more* Reinforce your learning through elaborate examples* Learn how to implement advanced topics like closures, memoization, and monads in your applicationsBook DescriptionPython supports four programming paradigms - imperative, procedural, object-oriented, and functional. Of these, functional programming is probably the least understood and the least used. This book covers several topics that are directly and indirectly related to functional programming.After a quick overview of functional programming and its characteristics, Functional Programming in Python explains the various concepts of Python, starting with functions. You'll learn how to change the value of an object by using mutability. You'll then look at recursion as a more functional alternative to looping for certain algorithms, and learn how memoization alleviates the limitations of recursion in certain situations. The book further explains how to use closures as function factories and how to handle errors and exceptions with functors and monads.By the end of this book, you'll have all the knowledge you need for developing your applications with functional programming in Python.What you will learn* Understand the advantages and disadvantages of functional programming* Use closures in your code to dynamically create functions* Create your own iterators* Use the general-purpose functools to create your own specialized reducing functions* Study and implement list and generator comprehensions to create lists* Create customized iterators with generatorsWho this book is forIf you are a developer looking to create applications in Python using functional programming, this book is ideal for you. You will only need a basic knowledge of Python. Prior knowledge or experience of functional programming is not required.

In today’s app-driven era, when programs are asynchronous and responsiveness is so vital, reactive programming can help you write code that’s more reliable, easier to scale, and better-performing. With this practical book, Java developers will first learn how to view problems in the reactive way, and then build programs that leverage the best features of this exciting new programming paradigm. Authors Tomasz Nurkiewicz and Ben Christensen include concrete examples that use the RxJava library to solve real-world performance issues on Android devices as well as the server. You’ll learn how RxJava leverages parallelism and concurrency to help you solve today’s problems. This book also provides a preview of the upcoming 2.0 release. Write programs that react to multiple asynchronous sources of input without descending into "callback hell" Get to that aha! moment when you understand how to solve problems in the reactive way Cope with Observables that produce data too quickly to be consumed Explore strategies to debug and to test programs written in the reactive style Efficiently exploit parallelism and concurrency in your programs Learn about the transition to RxJava version 2

"This practical guide will take you steadily through an exploration of Reactive Programming. In this course, you will learn about Reactive Programming in Python using RxPY and simplify the way you write code and create robust enterprise applications. The course covers the major libraries on Python reactive extensions (RxPY) and explains in detail the role of asynchronous programming and event-based programming in building reactive extensions. You will look deep into its provided classes, methods, and operators, to help you to build a reactive application. By the end of the course, you will be equipped to solve real-world problems and have a clear understanding of when and how you should use the different approaches demonstrated in RxPY."--Resource description page.