Learn Concurrent Programming With Go
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Learn Concurrent Programming with Go
Concurrency doesn’t need to be confusing. Start writing concurrent code that improves performance, scales up to handle large volumes of data, and takes full advantage of modern multi-processor hardware. Too many developers think concurrency is extremely challenging. Learn Concurrent Programming with Go is here to prove them wrong! This book uses the easy-to-grasp concurrency tools of the Go language to demonstrate principles and techniques, steadily teaching you the best practices of effective concurrency. Techniques learned in this book can be applied to other languages. In Learn Concurrent Programming with Go you will learn how to: Implement effective concurrency for more responsive, higher performing, scalable software Avoid common concurrency problems such as deadlocks and race conditions Manage concurrency using goroutines, mutexes, readers-writer locks, and more Identify concurrency patterns such as pipelining, worker pools, and message passing Discover advantages, limits, and properties of parallel computing Improve your Go coding skills with advanced multithreading topics Concurrent programming allows multiple tasks to execute and interact simultaneously, speeding up performance and reducing user wait time. In Learn Concurrent Programming with Go, you’ll discover universal principles of concurrency, along with how to use them for a performance boost in your Go applications. Expert author James Cutajar starts with the basics of modeling concurrency in your programs, demonstrates differences between message passing and memory sharing, and even introduces advanced topics such as atomic variables and futexes. About the technology You can improve almost any application’s performance and responsiveness by introducing concurrency into the codebase. This book will show you how! It starts with the basics of concurrent programming and builds your skills step by step by exploring scenarios you’ll face every day as a developer. Author James Cutajar explains each aspect of concurrency in plain language using the intuitive features baked into the Go language. About the book Learn Concurrent Programming with Go provides a practical, hands-on introduction to creating software for modern multiprocessor systems. In it, you’ll learn how to divide larger programming tasks into independent parts that can run simultaneously. You’ll use the Go language to implement common concurrency patterns by utilizing readers-writer locks, semaphores, message passing, and memory sharing. The skills you learn will easily transfer to other languages. What's inside Prevent deadlocks and race conditions Go concurrency features like goroutines, mutexes, channels, and more Concurrency patterns including pipelining and worker pools About the reader For programmers with basic knowledge of Go or another C-style language. No experience in concurrent programming required. About the author James Cutajar has been programming for more than 20 years. He’s an open source contributor, blogger, tech evangelist, Udemy instructor, and author. Table of Contents PART 1 FOUNDATIONS 1 Stepping into concurrent programming 2 Dealing with threads 3 Thread communication using memory sharing 4 Synchronization with mutexes 5 Condition variables and semaphores 6 Synchronizing with waitgroups and barriers PART 2 MESSAGE PASSING 7 Communication using message passing 8 Selecting channels 9 Programming with channels PART 3 MORE CONCURRENCY 10 Concurrency patterns 11 Avoiding deadlocks 12 Atomics, spin locks, and futexes
Learning Concurrent Programming in Scala
Author: Aleksandar Prokopec
language: en
Publisher: Packt Publishing Ltd
Release Date: 2017-02-22
Learn the art of building intricate, modern, scalable, and concurrent applications using Scala About This Book Make the most of Scala by understanding its philosophy and harnessing the power of multicores Get acquainted with cutting-edge technologies in the field of concurrency, through practical, real-world applications Get this step-by-step guide packed with pragmatic examples Who This Book Is For If you are a Scala programmer with no prior knowledge about concurrent programming, or seeking to broaden your existing knowledge about concurrency, this book is for you. Basic knowledge of the Scala programming language will be helpful. Also if you have a solid knowledge in another programming language, such as Java, you should find this book easily accessible. What You Will Learn Get to grips with the fundamentals of concurrent programming on modern multiprocessor systems Build high-performance concurrent systems from simple, low-level concurrency primitives Express asynchrony in concurrent computations with futures and promises Seamlessly accelerate sequential programs by using data-parallel collections Design safe, scalable, and easy-to-comprehend in-memory transactional data models Transparently create distributed applications that scale across multiple machines Integrate different concurrency frameworks together in large applications Develop and implement scalable and easy-to-understand concurrent applications in Scala 2.12 In Detail Scala is a modern, multiparadigm programming language designed to express common programming patterns in a concise, elegant, and type-safe way. Scala smoothly integrates the features of object-oriented and functional languages. In this second edition, you will find updated coverage of the Scala 2.12 platform. The Scala 2.12 series targets Java 8 and requires it for execution. The book starts by introducing you to the foundations of concurrent programming on the JVM, outlining the basics of the Java Memory Model, and then shows some of the classic building blocks of concurrency, such as the atomic variables, thread pools, and concurrent data structures, along with the caveats of traditional concurrency. The book then walks you through different high-level concurrency abstractions, each tailored toward a specific class of programming tasks, while touching on the latest advancements of async programming capabilities of Scala. It also covers some useful patterns and idioms to use with the techniques described. Finally, the book presents an overview of when to use which concurrency library and demonstrates how they all work together, and then presents new exciting approaches to building concurrent and distributed systems. Style and approach The book provides a step-by-step introduction to concurrent programming. It focuses on easy-to-understand examples that are pragmatic and applicable to real-world applications. Different topics are approached in a bottom-up fashion, gradually going from the simplest foundations to the most advanced features.
Functional Programming with Go
Crafting elegant and efficient solutions! KEY FEATURES ● Learn core functional programming (FP) concepts and their advantages for Go development. ● Implement practical techniques like closures, higher-order functions, and function currying for powerful codes. ● Write clean and maintainable code using immutability and pure functions. DESCRIPTION "Functional Programming with Go" is a comprehensive guide to introduce Go developers to the powerful concepts of functional programming. This book covers topics like first-class functions, closures, higher-order functions, immutability, and pure functions. It also demonstrates how these principles can enhance code quality, reliability, and maintainability. Starting with functional programming basics and setup, it covers first-class functions, closures, and higher-order functions like map, filter, and reduce. You will learn advanced techniques like currying, immutability, and functional error handling with monads. The book also explores concurrent programming with FP in Go, design patterns, functional web development, testing, debugging, and advanced topics like memoization. This book equips you with the knowledge and skills needed to write efficient, scalable, and robust Go applications. By the end of this book, you will have the knowledge and skills to apply functional programming principles in Go. WHAT YOU WILL LEARN ● Applying functional programming concepts to enhance code quality. ● Leveraging higher-order functions and closures for flexible code. ● Implementing advanced techniques like function currying and partial application. ● Writing pure functions and using immutable data structures in Go. ● Handling errors efficiently using monads and functional techniques. ● Designing concurrent systems with goroutines and channels in Go. WHO THIS BOOK IS FOR This book is designed for Go developers who want to enhance their skills in functional programming. It is also suitable for programmers with a basic understanding of Go. TABLE OF CONTENTS 1. Introduction to Functional Programming 2. First-Class Functions and Closures 3. Higher-Order Functions 4. Function Currying and Partial Application 5. Immutability and Pure Functions 6. Error Handling in Functional Go 7. Concurrency in a Functional Style 8. Functional Design Patterns 9. Functional Web Development with Go 10. Functional Testing and Debugging 11. Beyond the Basics: Advanced Functional Go 12. Conclusion and Next Steps