# Software Engineering

## 26,538 learners

### Mastering Graphs in Python

This course is designed to demonstrate the representation of a graph using adjacency graphs and adjacency matrices in Python. A core part of the course is dedicated to implementing and utilizing BFS and DFS algorithms in graphs. Explore the comprehensive use of graph data structures in solving intricate interview-based algorithmic problems.

**Python**

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[See path](https://codesignal.com/learn/paths/mastering-algorithms-and-data-structures-in-python)

- **Lessons:** 6 lessons
- **Practices:** 18 practices
- **Duration:** 3 hours

### Course details

#### Unit 1
- **Practices:** 4 practices
- **Duration:** 32 min
- [Preview: Building and Analyzing Graphs with the Adjacency Matrix](https://codesignal.com/learn/courses/mastering-graphs-in-python/lessons/building-and-analyzing-graphs-with-the-adjacency-matrix)

- Exploring Social Network Connections with an Adjacency Matrix
- Change the Social Network Connections
- Debugging the Friend Suggestions Algorithm
- Adding Overlapping Teams Relationships Using an Adjacency Matrix

#### Unit 2
- **Practices:** 4 practices
- **Duration:** 32 min

#### Unit 3
- **Practices:** 4 practices
- **Duration:** 32 min

#### Unit 4
- **Practices:** 1 practice
- **Duration:** 14 min

#### Unit 5
- **Practices:** 4 practices
- **Duration:** 32 min

#### Unit 6
- **Practices:** 1 practice
- **Duration:** 14 min

[Previous Course: Understanding and Using Trees in Python](https://codesignal.com/learn/courses/understanding-and-using-trees-in-python)

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**Mastering Graphs in Python | CodeSignal Learn**