# Software Engineering

## Understanding and Using Trees in Python

This course is designed to provide a deep understanding of trees in Python with a specific focus on binary trees, binary search trees, and heaps. The course covers the BFS and DFS in non-binary trees to elaborate on the different traversal methods. It extensively draws attention to the use of tree data structures in solving complex interview problems.

### Course Details
- **Language**: Python  
- **Lessons**: 7  
- **Practices**: 23  
- **Duration**: 3 hours

### Unit 1 (Total: 4 practices, 32 min)
- Understanding Binary and Non-Binary Trees: Structure, Implementation, and Complexity Analysis  
  [Preview](https://codesignal.com/learn/courses/understanding-and-using-trees-in-python/lessons/understanding-binary-and-non-binary-trees-structure-implementation-and-complexity-analysis)
- Visualizing Web Browsing History as a Tree Structure  
- Amending the Company Hierarchy Tree  
- Adding a Node to a Binary Tree  
- Constructing a Binary Tree and Performing In-Order Traversal

### Unit 2 (Total: 5 practices, 38 min)

### Unit 3 (Total: 5 practices, 38 min)

### Unit 4 (Total: 3 practices, 26 min)

### Unit 5 (Total: 1 practice, 14 min)

### Unit 6 (Total: 3 practices, 26 min)

### Unit 7 (Total: 2 practices, 20 min)

## Course Navigation
- [Previous Course](https://codesignal.com/learn/courses/linked-lists-stacks-and-queues-in-python)  
- [Next Course: Mastering Graphs in Python](https://codesignal.com/learn/courses/mastering-graphs-in-python)

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## Conclusion
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**Understanding and Using Trees in Python | CodeSignal Learn**