Why Trees Exist and What Linked Lists and Arrays Cannot Do
📖 Scenario: Imagine you are organizing a company's employee directory. You want to store employees so you can quickly find who reports to whom, and also find employees by their ID efficiently. You first tried using a list and then an array, but both had problems when the company grew.
🎯 Goal: You will create a simple tree structure in Go to represent employees and their direct reports. This will show why trees are useful and what linked lists and arrays cannot do well.
📋 What You'll Learn
Create a struct called
Employee with fields id int and reports []*EmployeeCreate a root employee with id 1
Add two direct reports with ids 2 and 3 to the root employee
Add one direct report with id 4 to the employee with id 2
Print the tree structure showing each employee and their direct reports
💡 Why This Matters
🌍 Real World
Trees are used in many real-world applications like file systems, organizational charts, and website menus where data is hierarchical.
💼 Career
Understanding trees helps in software engineering roles that deal with complex data structures, databases, and efficient data retrieval.
Progress0 / 4 steps