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Mike Van Sickle

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.

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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
Read more
Common Concurrency Patterns
Additional Tools to Support Concurrent Programming

Good to know

Know what's good
, what to watch for
, 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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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
Refreshing your Go fundamentals will strengthen your understanding and make it easier to grasp concurrency concepts.
Show steps
  • Review online documentation or tutorials on Go fundamentals
  • Practice writing simple Go programs to reinforce your understanding
Review basics of concurrency
Refreshes your understanding of concurrency fundamentals, making it easier to grasp Go's concurrency features.
Browse courses on Goroutines
Show steps
  • 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
Provides a strong foundation for understanding the principles of concurrency and how they apply to Go programming.
Show steps
  • 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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Follow Go Concurrency Tutorials
Tutorials provide guided practice and help you build a solid foundation in Go concurrency concepts.
Browse courses on Goroutines
Show steps
  • 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
Engaging in discussions with peers will expose you to different perspectives, foster critical thinking, and enhance your understanding of Go concurrency.
Show steps
  • 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
Solving practice problems will reinforce concepts learned in the course and strengthen your understanding of parallelism and concurrency.
Show steps
  • 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
Writing a blog post requires you to synthesize and explain concurrency concepts, which deepens your understanding and helps you identify areas for improvement.
Show steps
  • 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
Encourages hands-on application of concurrency concepts in a real-world scenario, solidifying understanding and promoting practical implementation skills.
Browse courses on File Processing
Show steps
  • 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
Provides an opportunity to reinforce understanding by explaining concepts to others, promoting active recall and solidifying knowledge.
Browse courses on Mentoring
Show steps
  • 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:
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

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.
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.
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.
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.
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.
Is collection of practical recipes for writing Go code. It covers a range of topics, including concurrency.
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.
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.
Is another practical guide to the Go programming language. It covers all the basics, including concurrency, and great resource for beginners.
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.
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.
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.

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