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Learn Concurrent Programming with Go
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Concurrency doesn’t need to be confusing. Learn Concurrent Programming with Go is here to prove that concurrency can improve performance, scale up to handle large volumes of data, and harness the power of modern multi-processor hardware.
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Dettagli del prodotto
| Publisher | Manning |
| Publication date | January 9, 2024 |
| Language | English |
| Print length | 328 pages |
| ISBN-10 | 1633438384 |
| ISBN-13 | 978-1633438385 |
| Item Weight | 1.2 pounds (540 grams) |
| Dimensions | 7.38 x 0.7 x 9.25 inches (18.7 x 1.8 x 23.5 cm) |
A chi è consigliato?
-
Aspiring Developers
Ideal for those looking to deepen their programming skills with Go, especially in concurrent system design.
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Software Engineers
Perfect for experienced engineers who want to enhance their knowledge of concurrent programming techniques using Go.
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Students and Learners
Great for students studying computer science and seeking practical insights into concurrent programming concepts.
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Beginners in Coding
May be challenging for newcomers to programming since it focuses on advanced concurrent programming concepts.
DESCRIZIONE DEL PRODOTTO
Learn Concurrent Programming with Go
Domande e risposte dei clienti
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Domanda:
What is Concurrent Programming in Go?
Risposta: Concurrent Programming in Go refers to the ability of the Go programming language to handle multiple tasks simultaneously. This is achieved through goroutines and channels, allowing developers to write programs that can perform operations in parallel without overwhelming the CPU. Understanding concurrency is vital for developing high-performance applications, especially when managing resources or responding to user interactions in real time. -
Domanda:
How can I start learning Go for Concurrent Programming?
Risposta: To start learning Go for Concurrent Programming, you should begin with the basics of the Go language, then move on to its concurrency model. Utilizing resources such as online tutorials, coding exercises, and the official Go documentation can be highly beneficial. Practice is also essential; try building simple applications that utilize goroutines and channels to solidify your understanding and application of concurrent concepts. -
Domanda:
What are goroutines in Go?
Risposta: Goroutines are lightweight threads managed by the Go runtime. They enable developers to run functions concurrently, making it possible to handle numerous operations simultaneously without significant overhead. This is particularly useful in scenarios where tasks are I/O-bound or require handling multiple connections, such as web servers or real-time data processing systems. -
Domanda:
What are channels in Go programming?
Risposta: Channels in Go are a powerful feature that facilitates communication between goroutines. They allow you to send and receive values, ensuring synchronized access to data. By using channels, you can prevent data races and manage concurrent access to shared resources efficiently. They are essential for building safe and organized concurrent applications. -
Domanda:
What are common use cases for concurrent programming in Go?
Risposta: Common use cases for concurrent programming in Go include building web servers that handle multiple requests at once, data processing applications that perform heavy computations, and network applications that must maintain multiple connections simultaneously. By leveraging Go's concurrency model, developers can maximize resource utilization and improve application responsiveness. -
Domanda:
How does Go's concurrency model differ from other languages?
Risposta: Go's concurrency model is different due to its goroutines and channels, which simplify the process of writing concurrent code. Unlike languages that rely heavily on threading and locks (like Java or C++), Go abstracts much of the complexity away. This model allows developers to focus more on the logic of their applications rather than the intricacies of managing synchronized threads. -
Domanda:
Can I use concurrent programming in Go for web development?
Risposta: Yes, concurrent programming in Go is especially beneficial for web development. You can handle thousands of simultaneous connections with great efficiency using goroutines. This is particularly advantageous for applications that need to maintain real-time communications, such as live chats or streaming services, allowing for responsive and high-performing web applications. -
Domanda:
Is concurrent programming in Go suitable for beginners?
Risposta: While concurrent programming can initially seem complex, Go's simplicity and clear syntax make it accessible for beginners. The language is designed to help developers understand concurrency concepts without extensive prior knowledge. Starting with straightforward examples can help grasp the basics, paving the way for more advanced applications as your understanding grows. -
Domanda:
What resources are available to learn Concurrent Programming with Go?
Risposta: There are numerous resources available for learning concurrent programming with Go. These include books dedicated to Go's concurrency model, online courses, and coding platforms that offer practical examples and exercises. Engaging with the Go community through forums or attending meetups can also provide valuable insights and support as you learn. -
Domanda:
Where can I buy Learn Concurrent Programming with Go in San Marino?
Risposta: You can purchase 'Learn Concurrent Programming with Go' from Ubuy in San Marino. Ubuy offers a wide range of books and learning materials, making it a reliable option to enhance your knowledge on this topic.
Software Development Editorial Review
**** "Learn Concurrent Programming with Go" by James Cutajar is a masterfully crafted guide that stands out as a crucial resource for developers looking to hone their skills in concurrent programming. While aimed primarily at Go language enthusiasts, its teachings are applicable across various programming languages, thereby enhancing its relevance in today's diverse coding landscape. The book's organization and logical flow are remarkable, making complex concurrency concepts digestible even for those without an extensive background in computer science. It carries practical insights into Go's concurrency features, promoting hands-on learning that can elevate both new and experienced developers. Readers have particularly appreciated the foundational explanations of concurrency idioms and patterns that extend beyond Go, providing a holistic understanding of concurrency as a programming principle. The use of visuals and annotations throughout the text aids comprehension, ensuring that concepts aren't just learned but understood deeply. Many reviewers noted the progression of topics as seamless and intuitive, which enhances the learning experience and keeps engagement high. Furthermore, the book does not shy away from advanced principles, making it a valuable resource even for senior engineers. Despite its many strengths, "Learn Concurrent Programming with Go" is not intended for complete beginners; it assumes some prior knowledge of programming concepts. Nevertheless, it fills a vital gap in the study of concurrent programming, addressing common struggles developers face, such as implementing efficient concurrent code and avoiding pitfalls. Overall, this book is a must-read for developers at various stages of their careers who seek to build more efficient, robust applications in Go and beyond. It is highly regarded for its clarity, depth, and practical applicability to real-world programming challenges. **Pros and Cons:** **
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Vantaggi
- Well-organized and logically structured content.
- Clear explanations with practical examples and visuals.
- Applies concurrency principles relevant to multiple programming languages.
- Suitable for both novice and experienced developers.
- Addresses common concurrency pitfalls and how to avoid them.
Contro
- Not aimed at complete beginners; some prior programming knowledge is required.
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Caratteristiche e benefici
- 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 Go coding skills with advanced multithreading topics
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