Learning Go Programming - 2nd Edition
eBook - ePub

Learning Go Programming - 2nd Edition

Explore automation and data analysis with Golang (English Edition)

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Learning Go Programming - 2nd Edition

Explore automation and data analysis with Golang (English Edition)

About this book

Description
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

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Yes, you can access Learning Go Programming - 2nd Edition by Shubhangi Agarwal in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Dedication Page
  5. About the Author
  6. About the Reviewers
  7. Acknowledgement
  8. Preface
  9. Table of Contents
  10. 1. Introduction to Go
  11. 2. Environment Setup
  12. 3. Beginning with Go
  13. 4. Variables, Data Types and Constants
  14. 5. Operators
  15. 6. Control Structures
  16. 7. Functions
  17. 8. Packages in Go
  18. 9. Arrays and Slices
  19. 10. Strings
  20. 11. Pointers
  21. 12. Structures
  22. 13. Composition
  23. 14. Interfaces and Polymorphism
  24. 15. Maps
  25. 16. Concurrency with Go
  26. 17. Mutex and Channels
  27. 18. Error Handling
  28. 19. Reflection
  29. 20. Web Scraping in Go
  30. 21. Automation with Golang
  31. 22. Data Analysis and Machine Learning
  32. 23. Build CI/CD pipeline with Golang
  33. 24. Wrap-up and Takeaways
  34. Index