Data Structures and Algorithms – Course 1

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Data Structures and Algorithms - Course 1 [TutsNode.com] - Data Structures and Algorithms - Course 1 3. Arrays
  • 8. 2D Arrays.mp4 (77.8 MB)
  • 8. 2D Arrays.srt (20.6 KB)
  • 1. Arrays - Introduction.srt (15.0 KB)
  • 6. Dynamic Arrays - Introduction.srt (11.0 KB)
  • 2. Arrays in C++, Java, Python.srt (7.8 KB)
  • 4. Exercise Concatenation of Array.srt (6.3 KB)
  • 5. Running Sum of 1d Array.srt (5.8 KB)
  • 3. Exercise Build Array from Permutation.srt (4.8 KB)
  • 7. Assignment 1.html (0.2 KB)
  • 9. Flipping an Image.html (0.2 KB)
  • 5. Running Sum of 1d Array.mp4 (71.2 MB)
  • 1. Arrays - Introduction.mp4 (60.2 MB)
  • 4. Exercise Concatenation of Array.mp4 (40.3 MB)
  • 2. Arrays in C++, Java, Python.mp4 (35.6 MB)
  • 6. Dynamic Arrays - Introduction.mp4 (34.2 MB)
  • 3. Exercise Build Array from Permutation.mp4 (28.5 MB)
2. Analysis of Algorithms
  • 1. Analysis of Algorithms - Running Time.srt (17.8 KB)
  • 3. Big O notation.srt (11.7 KB)
  • 2. Asymptotic Analysis of Algorithms.srt (10.2 KB)
  • 4. Big Omega notation.srt (9.5 KB)
  • 5. Big Theta Notation.srt (8.5 KB)
  • 3. Big O notation.mp4 (47.9 MB)
  • 1. Analysis of Algorithms - Running Time.mp4 (37.0 MB)
  • 5. Big Theta Notation.mp4 (35.1 MB)
  • 4. Big Omega notation.mp4 (34.4 MB)
  • 2. Asymptotic Analysis of Algorithms.mp4 (33.4 MB)
4. Linked Lists
  • 4. Linked List - Insertion cases and Code.srt (15.6 KB)
  • 9. Detect Loop in Linked List.srt (12.5 KB)
  • 7. Find Kth Node from end of a Linked List.srt (11.5 KB)
  • 3. Linked List - Representation and Traversal.srt (11.4 KB)
  • 8. Find Middle of a Linked List.srt (11.1 KB)
  • 4. Linked List - Insertion cases and Code.mp4 (71.6 MB)
  • 1. Linked List - Introduction.srt (9.1 KB)
  • 2. Linked List - Advantages and Disadvantages.srt (7.2 KB)
  • 10. Why Floyd's Cycle detection works.srt (7.1 KB)
  • 5. Linked List - Deletion.srt (6.4 KB)
  • 6. Linked List - Search a key.srt (5.6 KB)
  • 11. Find the beginning of Loop in Linked List.srt (62.9 MB)
  • 11. Find the beginning of Loop in Linked List.mp4 (62.9 MB)
  • 3. Linked List - Representation and Traversal.mp4 (43.9 MB)
  • 7. Find Kth Node from end of a Linked List.mp4 (39.1 MB)
  • 9. Detect Loop in Linked List.mp4 (38.5 MB)
  • 8. Find Middle of a Linked List.mp4 (35.4 MB)
  • 10. Why Floyd's Cycle detection works.mp4 (21.5 MB)
  • 1. Linked List - Introduction.mp4 (20.7 MB)
  • 2. Linked List - Advantages and Disadvantages.mp4 (19.3 MB)
  • 5. Linked List - Deletion.mp4 (15.5 MB)
  • 6. Linked List - Search a key.mp4 (15.4 MB)
1. Introduction
  • 2. What are data structures and algorithms.srt (10.5 KB)
  • 1. Course Overview.srt (5.1 KB)
  • 2. What are data structures and algorithms.mp4 (24.2 MB)
  • 1. Course Overview.mp4 (11.5 MB)
  • TutsNode.com.txt (0.1 KB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)
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Description


Description

In this course we will understand different data structures and how to use them effectively for solving problems. It is expected that the students have basic experience in any high-level programming language. Data structures and algorithms are a crucial part of programming interviews. This course is Part-1 of a 2 course series on Complete data structure and algorithms. The main focus here will be mastering the Data structures, implementing those and some problems explaining application of those data structures. The next part will cover different programming paradigms, analysis of algorithms and applying different data structures learnt in part 1. So, part 1 acts as a foundation for part 2.
In this part, we will cover the following topics:

Time and Space complexity of algorithms
Arrays,
Linked Lists,
Trees – Representation, binary trees, binary search trees, balanced binary search trees, and related problems
Stacks and Queues,
Heaps,
Graphs – representation, traversal of graph using breadth-first search, depth first search, graph algorithms
Hash Table,
Tries

A good understanding of data structures and algorithms is very crucial for programming interview. After completing this course you should be able to understand which data structures and algorithms should be used to solve a problem and why. It will not only prepare you for your coding interviews, but also make you a better programmer in general.

So, let’s get started.
Who this course is for:

Software Engineers
Computer Science students
Data Scientists

Requirements

Basic programming skill in any laguage

Last Updated 10/2021



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Data Structures and Algorithms – Course 1

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1023.5 MB
seeders:31
leechers:7
Data Structures and Algorithms – Course 1

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