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⏱ 2 oras 42 min📚 27 aralin
Working with Data in Go: Slices, Maps, Structs, and Clean Code
Learn how to manage data efficiently in Go by understanding slices, maps, structs, and methods to write clean, high-performance code.
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Tungkol sa kursong ito
Working with data in Go requires more than just knowing basic syntax; you need to understand how Go manages memory and collections under the hood. This text-based course demystifies Go's core data structures so you can write predictable and fast code.
By reading our structured explanations and analyzing clear code examples, you will transition from writing basic scripts to designing robust, production-ready Go applications. You will gain a deep understanding of how slices, maps, and structs interact, allowing you to prevent common bugs and optimize memory usage.
What you'll learn:
- Understand the foundational mechanics of Go slices, including capacity, headers, and underlying arrays.
- Master map implementation details to store and retrieve key-value pairs safely and efficiently.
- Design custom data types using structs and attach behavior using idiomatic Go methods.
- Apply clean architecture principles to organize your collection logic and data flows.
- Learn modern Go practices, including basic type parameters (generics) and memory allocation optimization.
- Practice writing clean, idiomatic, and testable Go code through comprehensive written examples and exercises.
You will start with the fundamental terminology of Go's type system and memory model before moving step-by-step through slices, maps, and custom structs. The course concludes with practical guidelines on structuring your data layer and writing clean, maintainable code.
This course is designed for beginners who have a basic grasp of programming concepts and want to specialize in Go, as well as developers transitioning to Go from other languages. No advanced knowledge of Go is required.
Start reading today to write clean and efficient Go code with confidence.
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Working with Data in Go: Slices, Maps, Structs, and Clean Code