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Introduction to Data Structures and Algorithms – By Animation

Introduction to Data Structures and Algorithms – By Animation

There are a lot of different types of data structures as well as algorithms. Queue: Stack: Linked List: Graph: Trees: Heap: Sorting Algorithms:

What you’ll learn

Introduction to Data Structures and Algorithms – By Animation

  • Learn complicated things in a simple way.
  • Analytical skills can be learned by simplifying things.
  • There are queues, stacks, Linked Lists, Graph Theory, Spanning Trees, Minimally Spanning Trees, Graph Traversal (BFS and DFS), Sorting Algorithms and other things to think about.
  • Learn about the most common algorithms for sorting and searching and how they work in real-time through live animation in Python.

Requirements

  • For sorting and searching algorithms, you should have a basic understanding of the python programming language.
  • No knowledge of data structures or algorithms is needed to use this tool.

Description

When you take this class, you’ll learn about the most important things about data structures and algorithms through live animation.
This class will use illustrations and live animation to make complicated things easy to understand. In this book, you’ll learn about the most common topics. These include the queue, stack, linked list and graphs as well as trees as well as heap data structures and sorting algorithms and searching algorithms.

This class is for anyone who wants to learn more about data structures and algorithms, and it is open to everyone. If you want to talk about sorting and searching algorithms, though, you need to know a little bit about programming skills. This knowledge is only needed for the Python programming language. Do not worry if you don’t think you know enough to take this class. Please enjoy this class.

A lot of people are interested in these topics:

  1. Queue.
  2. Stack.
  3. The study of graphs.
  4. Spans the trees.
  5. Prim’s and Kruskal’s trees have the smallest spans.
  6. (BFS and DFS).
  7. Algorithms for Sorting.
  8. Algorithms for searching.
  9. Heap of data structure
  10. In this section, you will learn about trees.
  11. Traversing through a forest of trees (Preorder, Inorder, Postorder).

If you have a question, don’t be afraid to ask.

Who this course is for:

  • Anyone who wants to learn about Data Structure and Algorithms can take this class.
  • Students who are studying computer science right now.

Introduction to Data Structures and Algorithms – By Animation

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