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Golang for Beginners Practice Exam

Golang for Beginners Practice Exam


About Golang for Beginners Exam

Golang (or Go) is a modern programming language developed by Google, known for its speed, efficiency, and simplicity. Many top companies use Go to build large-scale applications, including cloud services, microservices, and backend systems. Learning Golang helps developers write powerful, scalable, and high-performance programs with minimal complexity. In this course, you will build three hands-on projects using Go, giving you practical experience and confidence to create your own applications.


Skills Required

  • Basic understanding of Go programming
  • Familiarity with Go setup and environment
  • Interest in building practical projects
  • No advanced programming experience needed


Knowledge Area

This course covers:

  • Fundamentals of Go, including structs, slices, and functions
  • Working with XML data and Google Trends API
  • Understanding concurrency and parallelism in Go
  • Practical implementation of Golang features in real-world projects
  • Building a portfolio with complete Go-based applications


Who should take This Course?

This course is perfect for:

  • Beginners who have completed the basic "Tour of Golang" and want to build real-world projects
  • Developers with experience in other languages who want to switch to Golang
  • Anyone looking to improve their Go skills by working on practical applications


Course outline

The Golang for Beginners Exam covers the following topics - 

Domain 1. Introduction to the Course

  • Overview of the course content
  • Introduction to the instructor
  • How to connect with the author
  • Tips on learning Go faster and becoming a better developer
  • A breakdown of the projects that will be built
  • Important notes before starting


Domain 2. First Project – Nutrition Calculator

  • Overview of concepts that will be used in this project
  • Understanding the purpose and goals of the project
  • Explanation of different score types used in nutrition tracking
  • Introduction to units used in nutritional data
  • Breakdown of nutritional components and their impact
  • Planning the structure of the project
  • Setting up the project environment
  • Writing the main code file for the project
  • Defining the structure for nutritional scores and data types
  • Creating a function to calculate the nutritional score
  • Implementing methods to retrieve different points
  • Writing functions for calculating energy and sodium values
  • Implementing a scoring system for different components
  • Using slices to store and manage steps and points
  • Creating a function to get points within a specified range
  • Implementing calculations for energy, sugar, and other nutritional values
  • Adding scoring for saturated fats, sodium, protein, and fiber
  • Assigning points for fruit consumption
  • Handling special cases like cheese and beverages
  • Determining the final nutritional grade
  • Quick review of the concepts covered
  • Running and testing the program


Domain 3. Second Project – Google Trends Data Analysis

  • Overview of the Google Trends project and its objectives
  • Important notes to consider before starting
  • Understanding XML data format and how it is used in the project
  • Learning Go concepts that will be applied in this project
  • Visualizing the project plan for better understanding
  • Setting up the development environment for the project
  • Structuring the project for better organization
  • Defining data structures for storing items and news details
  • Using visuals to understand how structs work in Go
  • Defining data models for RSS feeds and channels
  • Assigning correct data types to struct variables
  • Fixing issues related to struct definitions and formatting
  • Understanding how to process and work with XML files
  • Defining XML data structures for proper handling
  • Writing a function to retrieve Google Trends data
  • Reading the Google Trends XML file and extracting information
  • Visual explanation of the unmarshalling process
  • Implementing the Unmarshal function to process XML data
  • Displaying the extracted trends in a readable format
  • Testing and debugging the project
  • Exploring real-world applications and potential improvements for the project


Domain 4. Third Project – Google Translate Application

  • Introduction to the project and what it will achieve
  • Laying out the plan for building the Google Translate tool
  • Identifying the challenges and how to solve them
  • Understanding the difference between concurrency and parallelism
  • Implementing sequential processing of tasks
  • Learning about parallel execution for faster performance
  • Exploring how concurrency works in Go
  • Using Go routines for handling multiple tasks at the same time
  • Working with channels for communication between routines
  • Understanding the impact of using WaitGroups
  • Comparing the results with and without WaitGroups
  • Writing the main application file
  • Developing the Command Line Interface (CLI) for user interaction
  • Introducing complexity and refining the structure
  • Using a diagram to map out the workflow
  • Creating structured queries for translation requests
  • Parsing JSON responses for translated content
  • Setting up and managing module files for the project


Domain 5. Final Steps and Next Learning Paths

  • Running and testing the complete application
  • Exploring advanced Go topics for future learning
  • Wrapping up the course and next steps

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