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Concurrent Programming in Go

Modern software systems must operate with a high degree of concurrency to take advantage of the hardware they are running on. This course will teach you how to get the most out of Go's features to build robust and elegant concurrent programs.

One of Go’s primary design goals is to simplify the creation of concurrent programs. In this course, Concurrent Programming in Go, you’ll learn how to do just that. First, you’ll warm up by reviewing Go’s essential concurrency tools - goroutines and channels. Next, you’ll explore these constructs to learn their full capabilities. You’ll learn some design patterns that allow concurrent systems that are predictable and well-organized. Finally, you’ll learn about other features Go offers to ensure your concurrent programs are efficient and well-behaved. When you’re finished with this course, you’ll have the skills and knowledge of Go’s concurrency needed to create robust, clear, and efficient concurrent programs with Go.

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What's inside

Syllabus

Course Overview

Concurrency in Go

Goroutines

Channels

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Delves into the essential modules of Go for writing organized and efficient multi-threaded applications

Suitable for learners seeking to enhance their mastery of software development in Go

Provides well-structured learning with a clear progression from foundational to advanced concepts

Incorporates practical examples and patterns to drive home concepts and enable effective implementation

Focuses on teaching techniques to ensure robust and efficient concurrent programs

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Reviews summary

Mastering go concurrency with practical patterns

According to learners, this course offers an exceptionally clear and practical approach to concurrent programming in Go. Students frequently highlight the instructor's ability to demystify complex concepts like goroutines and channels through engaging demos and hands-on labs. The emphasis on common concurrency patterns and building robust, well-behaved programs is particularly valued by professional developers. However, some find the course challenging for beginners, advising a strong prior understanding of Go. While providing a solid foundation, advanced users might seek more in-depth coverage for complex real-world scenarios. Recent reviews suggest ongoing course improvements, making it a relevant choice for mastering Go concurrency.

Regularly updated, addressing past feedback.

"My only minor feedback is that some older parts of the course felt slightly less polished, but recent updates seem to have addressed many of those concerns."

"The content is up-to-date and reflects best practices."

"This course delivered exactly what it promised and more, and it seems to be actively maintained."

Teaches essential design patterns for robust concurrent systems.

"I particularly enjoyed the section on common concurrency patterns; it gave me concrete strategies."

"As a professional developer, I found the coverage of common concurrency patterns was invaluable."

"This course's focus on practical patterns and robust design really sets it apart from others I've taken."

Focuses on real-world application through practical examples and labs.

"The examples were practical and really helped me understand how to apply these concepts in real-world scenarios."

"The demos were well-explained, and the labs really helped me put theory into practice."

"The hands-on approach is fantastic; I learned so much by doing."

Expertly demystifies complex Go concurrency topics.

"Absolutely brilliant course! I've been coding in Go for years, but concurrency always felt like a black box. This course clarified goroutines and channels beautifully."

"This course demystified Go concurrency for me. The instructor's ability to break down complex topics into digestible parts is remarkable."

"The instructor's explanations were top-notch and the pace was just right. I really appreciated the focus on building robust and well-behaved programs."

Provides a solid base but could offer more depth for advanced topics.

"It's a solid foundation, but not exhaustive for advanced users. I felt some of the 'additional tools' section could have gone into more depth, perhaps with more complex examples."

"I would have liked to see more challenges or projects to really test my understanding. It feels a bit like a guided tour rather than a deep dive into complex, real-world problems."

"I ended up needing to supplement with other resources to fully grasp some of the more advanced concepts."

Not for beginners; requires strong prior Go and concurrency understanding.

"The course has good moments, but it assumes a strong prior understanding of Go. For someone new to Go or concurrency, it might be a bit overwhelming."

"I found this course quite challenging. While the instructor clearly knows the material, the pacing was too fast for me, and some concepts were introduced without enough preliminary explanation."

"Decent course, but not for beginners. I had to pause frequently and re-read documentation to grasp concepts fully."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Concurrent Programming in Go with these activities:

Review Go Fundamentals

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Refreshing your Go fundamentals will strengthen your understanding and make it easier to grasp concurrency concepts.

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Review online documentation or tutorials on Go fundamentals
Practice writing simple Go programs to reinforce your understanding

Review basics of concurrency

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Refreshes your understanding of concurrency fundamentals, making it easier to grasp Go's concurrency features.

Browse courses on Goroutines

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Revisit concepts of threads and processes
Review synchronization primitives like locks and semaphores
Practice writing simple concurrent programs in your preferred language

Review Concurrency Basics

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Provides a strong foundation for understanding the principles of concurrency and how they apply to Go programming.

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Revisit concepts of processes and threads
Review the definition of concurrency and its benefits
Read one or two articles about Go's approach to concurrency

Six other activities

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Show all nine activities

Follow Go Concurrency Tutorials

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Tutorials provide guided practice and help you build a solid foundation in Go concurrency concepts.

Browse courses on Goroutines

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Search for tutorials on Go concurrency from reputable sources
Follow the tutorials step-by-step and implement the code examples
Experiment with the code to gain a deeper understanding

Participate in Go Concurrency Discussion Forums

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Engaging in discussions with peers will expose you to different perspectives, foster critical thinking, and enhance your understanding of Go concurrency.

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Join online forums or communities dedicated to Go concurrency
Participate in discussions by asking questions, sharing insights, and providing support to others

Solve Parallelism and Concurrency Practice Problems

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Solving practice problems will reinforce concepts learned in the course and strengthen your understanding of parallelism and concurrency.

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Find practice problems from online resources or textbooks
Solve the practice problems by implementing solutions in Go
Review solutions and identify areas for improvement

Write a Blog Post on Go Concurrency

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Writing a blog post requires you to synthesize and explain concurrency concepts, which deepens your understanding and helps you identify areas for improvement.

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Choose a specific topic within Go concurrency to focus on
Research and gather information from reputable sources
Write a clear and concise blog post, providing examples and explanations
Publish the blog post on a platform where others can benefit from it

Develop a Concurrent File Processing Application

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Encourages hands-on application of concurrency concepts in a real-world scenario, solidifying understanding and promoting practical implementation skills.

Browse courses on File Processing

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Define the requirements for a file processing application
Design the architecture of the application using goroutines and channels
Implement the application and test its performance

Mentor Beginner Go Developers

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Provides an opportunity to reinforce understanding by explaining concepts to others, promoting active recall and solidifying knowledge.

Browse courses on Mentoring

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Join a Go community forum or online group
Offer help to beginners who have questions about Go concurrency
Provide guidance and support to help others understand concurrency concepts

Career center

Learners who complete Concurrent Programming in Go will develop knowledge and skills that may be useful to these careers:

Software Engineer

Software Engineers apply the principles of computer science and software design to the creation of computer software. They are responsible for the development, deployment, and maintenance of software systems. This course may be useful to Software Engineers who want to learn how to develop concurrent and parallel software applications in Go.

See salaries and explore the career path for Software Engineer

Software Architect

Software Architects design and develop the overall structure and architecture of software systems. They are responsible for ensuring that software systems are scalable, reliable, and maintainable. This course may be useful to Software Architects who want to learn how to design and develop concurrent and parallel software systems in Go.

See salaries and explore the career path for Software Architect

Systems Engineer

Systems Engineers design, develop, and maintain complex systems, including software systems. They are responsible for ensuring that systems are reliable, scalable, and secure. This course may be useful to Systems Engineers who want to learn how to design and develop concurrent and parallel software systems in Go.

See salaries and explore the career path for Systems Engineer

DevOps Engineer

DevOps Engineers are responsible for the development and maintenance of software systems. They work with developers and operations teams to ensure that software systems are deployed and maintained efficiently and reliably. This course may be useful to DevOps Engineers who want to learn how to develop and maintain concurrent and parallel software systems in Go.

See salaries and explore the career path for DevOps Engineer

Cloud Engineer

Cloud Engineers design and develop cloud-based applications and services. They are responsible for ensuring that cloud-based systems are scalable, reliable, and secure. This course may be useful to Cloud Engineers who want to learn how to develop and maintain concurrent and parallel software systems in Go.

See salaries and explore the career path for Cloud Engineer

Data Engineer

Data Engineers design and develop systems for storing, processing, and analyzing data. They are responsible for ensuring that data systems are scalable, reliable, and secure. This course may be useful to Data Engineers who want to learn how to develop and maintain concurrent and parallel software systems in Go.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models and algorithms. They are responsible for ensuring that machine learning models are accurate, reliable, and scalable. This course may be useful to Machine Learning Engineers who want to learn how to develop and maintain concurrent and parallel software systems in Go.

See salaries and explore the career path for Machine Learning Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. They are responsible for developing trading strategies and making investment recommendations. This course may be useful to Quantitative Analysts who want to learn how to develop and maintain concurrent and parallel software systems in Go.

See salaries and explore the career path for Quantitative Analyst

Computational Scientist

Computational Scientists use computers to solve scientific problems. They are responsible for developing and using mathematical models to simulate and analyze scientific phenomena. This course may be useful to Computational Scientists who want to learn how to develop and maintain concurrent and parallel software systems in Go.

See salaries and explore the career path for Computational Scientist

Computer Scientist

Computer Scientists conduct research in the field of computer science. They are responsible for developing new theories and algorithms for solving computational problems. This course may be useful to Computer Scientists who want to learn how to develop and maintain concurrent and parallel software systems in Go.

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Software Developer

Software Developers design, develop, and maintain software applications. They are responsible for ensuring that software applications are reliable, scalable, and secure. This course may be useful to Software Developers who want to learn how to develop and maintain concurrent and parallel software applications in Go.

See salaries and explore the career path for Software Developer

Web Developer

Web Developers design, develop, and maintain websites and web applications. They are responsible for ensuring that websites and web applications are reliable, scalable, and secure. This course may be useful to Web Developers who want to learn how to develop and maintain concurrent and parallel web applications in Go.

See salaries and explore the career path for Web Developer

Mobile Developer

Mobile Developers design, develop, and maintain mobile applications. They are responsible for ensuring that mobile applications are reliable, scalable, and secure. This course may be useful to Mobile Developers who want to learn how to develop and maintain concurrent and parallel mobile applications in Go.

See salaries and explore the career path for Mobile Developer

Game Developer

Game Developers design, develop, and maintain video games. They are responsible for ensuring that video games are fun, engaging, and visually appealing. This course may be useful to Game Developers who want to learn how to develop and maintain concurrent and parallel video games in Go.

See salaries and explore the career path for Game Developer

Embedded Systems Engineer

Embedded Systems Engineers design, develop, and maintain embedded systems. Embedded systems are computer systems that are embedded in other devices, such as cars, airplanes, and medical devices. This course may be useful to Embedded Systems Engineers who want to learn how to develop and maintain concurrent and parallel embedded systems in Go.

See salaries and explore the career path for Embedded Systems Engineer

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Concurrent Programming in Go.

Concurrency in Go

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Provides a comprehensive overview of Go's concurrency features and best practices, with a focus on practical examples and real-world scenarios. It valuable reference for developers looking to deepen their understanding of Go's concurrency model.

Concurrency in Go: Tools and Techniques for...

Paperback

Concurrency in Go: Tools and Techniques for...

Kindle Edition

The Go Programming Language

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While not specifically focused on concurrency, this book provides a comprehensive and authoritative introduction to the Go programming language. It covers the basics of Go, including concurrency primitives, and valuable resource for anyone new to Go or looking to strengthen their foundational knowledge.

Go Programming Language, The (Addison-Wesley...

Kindle Edition

Concurrency in C# Cookbook

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Comprehensive guide to parallel programming in C#. It covers all the basics, including threads, locks, and synchronization. It good choice for beginners who want to learn about concurrency in a language other than Go.

Concurrency in C# Cookbook: Asynchronous, Parallel,...

Paperback

Concurrency in C# Cookbook: Asynchronous, Parallel,...

Paperback

(中文) C#并发编程经典实例 (图灵程序设计丛书) (Chinese Edition)

Kindle Edition

Go in Action

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Provides a comprehensive introduction to Go programming. It covers the basics of the language, including concurrency primitives, and valuable resource for anyone new to Go or looking to strengthen their foundational knowledge.

Go: Design Patterns for Real-World Projects

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Is collection of practical recipes for writing Go code. It covers a range of topics, including concurrency.

Go: Design Patterns for Real-World Projects

Kindle Edition

$$$

Principles of Concurrent and Distributed Programming

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Comprehensive guide to concurrent and distributed programming. It covers all the basics, including threads, locks, and synchronization. It good choice for students who want to learn about concurrency in a more academic setting.

[(Principles of Concurrent and Distributed...

Unknown Binding

$$$$

Java Concurrency in Practice

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Comprehensive guide to concurrency in Java. It covers all the basics, including threads, locks, and synchronization. It good choice for beginners who want to learn about concurrency in a language other than Go.

Java Concurrency in Practice

Paperback

Java Concurrency in Practice

Kindle Edition

Programming in Go

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This comprehensive tutorial on the Go programming language. It covers all the basics, including concurrency, and is designed for beginners.

Programming in Go: Creating Applications for the...

Paperback

Programming in Go: Creating Applications for the...

Unknown Binding

$$$

Programming in Go: Creating Applications for the...

Kindle Edition

Go in Action

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Is another practical guide to the Go programming language. It covers all the basics, including concurrency, and great resource for beginners.

Go in Action

Kindle Edition

Designing Data-Intensive Applications

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While not specific to Go, this book provides a comprehensive overview of the principles and patterns involved in designing and building scalable, reliable data-intensive systems. It covers topics such as distributed systems, data consistency, and fault tolerance, which are relevant to concurrent programming in general.

Designing Data-Intensive Applications: The Big...

Paperback

Designing Data-Intensive Applications: The Big...

Kindle Edition

Designing Web APIs

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Provides a practical guide to building web applications with Go. It covers topics such as web frameworks, HTTP request handling, and data persistence. While not specifically focused on concurrency, it provides examples of how to use Go's concurrency features in web development.

Designing Web APIs: Building APIs That Developers...

Paperback

Designing Web APIs: Building APIs That Developers...

Kindle Edition

Infrastructure Automation with Terraform

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Introduces the concepts and practices of cloud-native development using Go. It covers topics such as containerization, microservices, and distributed systems. While not specifically focused on concurrency, it provides insights into how to design and build scalable and resilient cloud-native applications in Go.

Infrastructure Automation with Terraform

Paperback

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Infrastructure Automation with Terraform

Kindle Edition

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