datastructures-in-python
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    • wk17
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      • D1-Module 01 - Python I
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      • D2- Module 02 - Python II
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    • wk18
      • Outline-W-18
      • D1- Module 01 - Number Bases and Character Encoding
      • D2- Module 02 - Hash Tables I
        • Hash Table / Hash Map In Python:
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      • D3-Module 03 - Hash Tables II
      • D4- Module 04 - Searching and Recursion
    • wk19
      • Outline-W-19
      • D1- Module 01 - Linked Lists
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      • D2- Module 02 - Queues and Stacks
      • D3- Module 03 - Binary Search Trees
        • BST Definition:
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        • Tree Traversals (Inorder, Preorder and Postorder)
    • wk20
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      • D1-Graphs I
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      • DFS
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  • experiments
    • Untitled
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  • Overview
  • Graphs I
  • Graphs II

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  1. Curriculum
  2. wk20

Outline-W-20

Overview

In this sprint, you will learn about graphs. These data structures are part of the critical computer science fundamentals that interviewers expect you to be comfortable with during the technical interview process.

Additionally, we will teach you about the technical interview process, best practices for interviews, getting unstuck, and overcoming imposter syndrome during an interview. As you complete this sprint and the computer science curriculum, you should feel prepared to tackle the technical interview process successfully.

Graphs I

In this module, you will learn about graph properties, graph representations, and how to build Graph and Vertex classes to construct your graphs in Python.

Graphs II

In this module, you will learn about breadth-first search, depth-first search, and implementing both of these techniques in code.

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Last updated 3 years ago

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