| 1. Coding Create.mp4 | 13.2 MB | ||
| 1. Coding Setup Node.mp4 | 6.2 MB | ||
| 1. Introduction.mp4 | 24.9 MB | ||
| 10. BFS – Algorithm.mp4 | 24.9 MB | ||
| 10. Coding Queue Using Array – Operation.mp4 | 18.2 MB | ||
| 10. Three Dimensional Array.mp4 | 23.9 MB | ||
| 11. Coding Array Matrix.mp4 | 21.1 MB | ||
| 12. Coding Matrix Access.mp4 | 36.1 MB | ||
| 2. BST – Operations.mp4 | 55.9 MB | ||
| 2. Binary Tree.mp4 | 25.9 MB | ||
| 2. Categories.mp4 | 39.9 MB | ||
| 2. Coding Insert Front.mp4 | 13.6 MB | ||
| 2. Coding Setup Queue.mp4 | 5.5 MB | ||
| 2. Operations.mp4 | 33 MB | ||
| 2. Pros & Cons.mp4 | 48.1 MB | ||
| 2. Terminology.mp4 | 15.4 MB | ||
| 2. Tips.mp4 | 12 MB | ||
| 3. Analysis.mp4 | 24.7 MB | ||
| 3. Coding BST.mp4 | 61.1 MB | ||
| 3. Coding Insert At The End.mp4 | 23.2 MB | ||
| 3. Coding Part 01.mp4 | 4.4 KB | ||
| 3. Coding Queue using Array.mp4 | 10.4 MB | ||
| 3. Coding isEmpty.mp4 | 5.2 MB | ||
| 3. Cyclic And Acyclic Graphs.mp4 | 16.2 MB | ||
| 3. Operation.mp4 | 38.5 MB | ||
| 3. Types of Binary Tree.mp4 | 24 MB | ||
| 3. Types.mp4 | 26.4 MB | ||
| 4. Adjacency Matrix.mp4 | 15 MB | ||
| 4. Binary Tree Representation.mp4 | 26.3 MB | ||
| 4. Coding Array Insert.mp4 | 16.1 MB | ||
| 4. Coding Enqueue.mp4 | 15.4 MB | ||
| 4. Coding Insert After a Node.mp4 | 16.8 MB | ||
| 4. Coding Part 02.mp4 | 81.8 MB | ||
| 4. Coding Queue Using Array – Empty.mp4 | 4.5 MB | ||
| 4. Coding Single Linked List.mp4 | 42.3 MB | ||
| 4. Memory.mp4 | 34 MB | ||
| 4. Traversal.mp4 | 90.8 MB | ||
| 5. Binary Tree – Array Representation.mp4 | 20.4 MB | ||
| 5. Coding Adjacency Matrix.mp4 | 31.3 MB | ||
| 5. Coding Array Access.mp4 | 12.7 MB | ||
| 5. Coding Delete a Node.mp4 | 31.6 MB | ||
| 5. Coding Dequeue.mp4 | 17.8 MB | ||
| 5. Coding Queue using Array – Full.mp4 | 7.9 MB | ||
| 5. Complexity.mp4 | 34.1 MB | ||
| 5. Delete a node.mp4 | 8.4 MB | ||
| 5. Preorder.mp4 | 21.9 MB | ||
| 6. Adjacency List.mp4 | 32.7 MB | ||
| 6. Coding Array Representation.mp4 | 72.3 MB | ||
| 6. Coding Array Update.mp4 | 11.9 MB | ||
| 6. Coding Display.mp4 | 21.8 MB | ||
| 6. Coding Peek.mp4 | 10.3 MB | ||
| 6. Coding Queue Using Array – Enqueue.mp4 | 18.7 MB | ||
| 6. Efficiency.mp4 | 22.6 MB | ||
| 6. Inorder.mp4 | 17.9 MB | ||
| 6. Insert At The front.mp4 | 8.7 MB | ||
| 7. Coding Adjacency List.mp4 | 32.7 MB | ||
| 7. Coding Array Delete.mp4 | 8.7 MB | ||
| 7. Coding Display.mp4 | 17 MB | ||
| 7. Coding Operation.mp4 | 25.1 MB | ||
| 7. Coding Queue Using Array – Dequeue.mp4 | 20.9 MB | ||
| 7. Insert At The End.mp4 | 8.5 MB | ||
| 7. Linked Structure Representation.mp4 | 19.4 MB | ||
| 7. Postorder.mp4 | 20.3 MB | ||
| 7. Types.mp4 | 35.1 MB | ||
| 8. Coding Array Search.mp4 | 27.6 MB | ||
| 8. Coding Linked Structure Represenation.mp4 | 50.4 MB | ||
| 8. Coding Operation.mp4 | 13.8 MB | ||
| 8. Coding Queue Using Array – Peek.mp4 | 7 MB | ||
| 8. Coding Traversal.mp4 | 90.8 MB | ||
| 8. Insert After a Node.mp4 | 10.6 MB | ||
| 8. Traversal.mp4 | 26.7 MB | ||
| 9. Coding Queue Using Array – Display.mp4 | 17.6 MB | ||
| 9. DFS – Algorithm.mp4 | 19.7 MB | ||
| 9. Two Dimensional Array.mp4 | 17.8 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 84 total files | |||
Mastering Data Structures Building Blocks for Efficient Code
https://DevCourseWeb.com
Published 3/2024
Created by ScaleUp Interview
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 82 Lectures ( 6h 55m ) | Size: 2 GB
Data Structures Unleashed: Navigating the World of Organized Information for Efficient Programming
What you'll learn:
Fundamental Understanding: Develop a strong foundation in the fundamental concepts of data structures, including arrays, linked lists, stacks, queues, and trees
Algorithmic Analysis: Learn to analyze the time and space complexity of algorithms associated with various data structures
Implementation Skills: Gain hands-on experience in implementing and manipulating data structures.
Problem-Solving Abilities: Enhance your problem-solving skills by applying data structures to solve real-world problems.
Optimization Techniques: Explore optimization strategies for data structures to achieve better performance.
Requirements:
Programming Proficiency: A solid understanding of at least one programming language is crucial.
Introduction to Computer Science: Familiarity with basic computer science concepts is important.
Basic Mathematics: A foundational understanding of basic mathematical concepts, such as algebra, is often helpful for analyzing and understanding algorithms.
Logic and Problem-Solving Skills: Strong logical reasoning and problem-solving skills are essential.
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