E-Books →Learning Go Programming Explore automation and data analysis with Golang - 2nd Edition

Go has transformed the way developers build scalable, high-performance applications. Whether you are new to it or an experienced developer, mastering its unique idioms and best practices is crucial for writing clean, efficient, and production-ready code.
This book is a comprehensive guide to mastering Golang that begins by covering basics of Golang, with concepts like syntax, concurrency, and error handling. Further, this book discusses the key aspects of data analysis and DevOps. It introduces web scraping, machine learning, data handling and manipulation, performing Exploratory Data Analysis-all within the Golang ecosystem. For DevOps enthusiasts, this book highlights how the performance and simplicity of Golang make it a powerful tool for creating automation scripts, managing workflows, and building CI/CD pipelines. It will help you leverage Golang for both data-driven decisions and operational efficiency. You will learn how Golang can process and analyze data, complementing your toolkit. It will help you harness Golang to streamline deployment processes, build reliable tools, and automate complex workflows.
Packed with real-world examples and expert insights, this book is your ultimate resource for becoming a Go expert. Whether you are building web services, automating tasks, or diving into AI, this book will equip you with the skills to write efficient, scalable, and production-ready applications.
What you will learn
● Master Golang syntax, concurrency, and error handling for efficient code.
● Write optimized, concurrent Go programs for real-world applications.
● Implement error handling and logging practices to ensure robust code.
● Create reusable, modular Golang packages for various use cases.
● Analyze and manipulate data using the Golang native libraries and tools.
● This edition introduces web scraping techniques to automate data extraction for analysis or processing.
● Covers DevOps applications like building CI/CD pipelines, and automating workflows, for operational efficiency.
Who this book is for
This book is ideal for developers, data analysts, or DevOps engineers with a basic understanding of programming concepts and those looking to expand their skills in Golang. Prior experience with programming languages like Python, Java, or C++ will be helpful, though beginners with a keen interest in learning Go can also benefit from the book.
Table of Contents
1. Introduction to Go
2. Environment Setup
3. Beginning with Go
4. Variables, Data Types and Constants
5. Operators
6. Control Structures
7. Functions
8. Packages in Go
9. Arrays and Slices
10. Strings
11. Pointers
12. Structures
13. Composition
14. Interfaces and Polymorphism
15. Maps
16. Concurrency with Go
17. Mutex and Channels
18. Error Handling
19. Reflection
20. Web Scraping in Go
21. Automation with Golang
22. Data Analysis and Machine Learning
23. Build CI/CD pipeline with Golang
24. Wrap-up and Takeaways