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Resources to learn go

This is Ardan Labs' curated list of important Go reading, complementing their training material. It covers a wide range of topics, from foundational concepts and language history to advanced concurrency and distributed systems, making it a solid reference.

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Questions & Answers

What is this Ardan Labs Go reading list?
This GitHub repository is a curated collection of links to books, articles, interviews, and videos related to the Go programming language. It serves as a supplemental resource for the Ardan Labs Go training, offering important material that doesn't fit elsewhere in their curriculum.
Who is this Go reading list designed for?
The reading list is intended for Go developers, from beginners seeking foundational knowledge to experienced engineers interested in advanced topics like concurrency, distributed systems, and Go internals. It's particularly useful for those following Ardan Labs' Go training, but stands alone as a comprehensive resource.
How does this reading list differ from a general Google search for Go resources?
Unlike a general search, this list is carefully curated by Ardan Labs, a respected name in Go education, implying a higher quality and relevance of content. It categorizes resources by topic (e.g., books, blogs, error handling, generics), providing a structured learning path rather than an unstructured collection.
When should a developer use the Ardan Labs Go reading list?
Developers should use this list when they want to deepen their understanding of Go, explore specific technical areas, or find reliable, vetted resources for learning the language. It's ideal for structured self-study, supplementing formal training, or as a reference for best practices and historical context.
What practical topics are covered within the Ardan Labs Go reading list?
The list covers a wide array of practical topics including Go assembly by example, comprehensive guides to "net/http" timeouts, discussions on Go's error handling philosophy, and detailed insights into Go's scheduling and concurrency models. It also includes resources on API design and distributed systems.