Go is a compiled, statically typed language in the tradition of Algol and C, with garbage collection, limited structural typing, memory safety features, and CSP-style concurrent programming features added.
More and more developers are interested in learning Go. It was the language of the year on TIOBE in 2016 and is at the top of the list of languages that developers want to learn next.
This course will teach you how to program in Go, building on your existing knowledge of programming languages. It starts by introducing familiar features before moving on to the more unique features that have earned Go its reputation as the language of the cloud. You will learn how to build a completely functional application server in under two dozen lines of code. Then, you'll master structuring and organizing your code, implementing the procedural control structures of every C-inspired language, and breaking your code into separate functions.
Towards the end of the course, you'll learn how to create your own packages and import them. You'll also explore Go's approach to error handling, Object-Oriented Programming, and concurrency. By the end of the course, you'll be ready to start writing your own Go projects.
This course uses Go 1.9, while not the latest version available, it provides relevant and informative content for legacy users of Go.
About the Author :
Jon Bodner has spent the past 20 years working in just about every corner of the software industry including on-line commerce, education, finance, government, healthcare, and internet infrastructure. He is a software engineer, lead developer, and architect and enjoys presenting and discussing open source technology trends, and the future of software engineering. Jon is currently a Lead Software Engineer at Capital One where, along with a co-worker, he recently open sourced checks-out, a fork of the LGTM project
Over the past two years, Jon has given several public talks on Go. At DevFest DC, he gave introductory and advanced talks on Go concurrency. At GopherCon, he introduced Proteus, a declarative, type-safe, runtime-generated DAO layer for Go and, at GothamGo, he spoke on closures and generics in Go.
Jon has also written a number of posts on Go for Capital One's DevExchange blog.
In addition to talking and writing about Go, Jon has also spoken at PyData DC on improving Data Science accuracy via software engineering, took part in a panel on open source in the enterprise at Atlanta Vision Talks, and spoke about Capital One's open source process at the Open Source Leadership Summit and OSCON.