Data Structures for Absolute Beginners in Python

Focused View

Abdul Rauf

6:42:42

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1 - Introduction

1 - What this course is about.mp4

03:57

2 - How to take the course effectively.mp4

02:46

2 - Environment Setup

3 - Setting up your environment.mp4

07:52

3 - Stacks and Queues

4 - Section Introduction.mp4

00:31

5 - Stack.mp4

06:25

6 - Stack Implementation.mp4

09:30

7 - Valid Brackets Problem.mp4

09:20

8 - Valid Brackets Problem solution.mp4

06:56

9 - Queues.mp4

03:35

10 - Queue Implementation.mp4

05:13

11 - Section Conclusion.mp4

01:00

4 - Singly Linked Lists

12 - Section Introduction.mp4

02:10

13 - Introduction to Linked Lists.mp4

02:24

14 - Singly Linked List Implementation.mp4

05:28

15 - Singly Linked List Push Method.mp4

13:01

16 - Singly Linked List Unshift Method.mp4

05:14

17 - Singly Linked List Shift Method.mp4

07:48

18 - Singly Linked List Traversal.mp4

05:49

19 - Singly Linked List Pop.mp4

07:57

20 - Singly Linked List Insert.mp4

12:45

21 - Singly Linked List Remove.mp4

08:18

22 - Singly Linked List Reverse.mp4

08:09

23 - Singly Linked Lists Conclusion.mp4

01:07

5 - Doubly Linked Lists

24 - Section Introduction.mp4

00:40

25 - Doubly Linked Lists Introduction.mp4

01:36

26 - Doubly Linked Lists Implementation.mp4

02:16

27 - Doubly Linked Lists Push Method.mp4

03:48

28 - Doubly Linked Lists Unshift Method.mp4

04:30

29 - Doubly Linked Lists Shift Method.mp4

07:26

30 - Doubly Linked Lists Pop Method.mp4

05:11

31 - Doubly Linked Lists Insert Method.mp4

06:37

32 - Doubly Linked Lists Remove.mp4

05:14

33 - Doubly Linked Lists Reverse.mp4

05:27

34 - Doubly Linked Lists Conclusion.mp4

01:25

6 - Binary Search Trees

35 - Section Introduction.mp4

01:30

36 - Binary Search Trees Introduction.mp4

07:37

37 - Binary Search Trees Implementation.mp4

03:38

38 - Binary Search Trees Insertion Introduction.mp4

05:03

39 - Binary Search Trees Insertion Implementation Iterative.mp4

10:14

40 - Binary Search Trees Insertion Implementation Recursive.mp4

09:59

41 - Binary Search Trees Preorder Traversal Part 1.mp4

14:03

42 - Binary Search Trees Preorder Traversal Part 2.mp4

05:57

43 - Binary Search Trees Inorder Traversal.mp4

08:38

44 - Binary Search Trees Postorder Traversal.mp4

07:05

45 - Binary Search Trees Delete Explanation.mp4

13:46

46 - Binary Search Trees Delete Implementation.mp4

15:13

47 - Binary Search Trees Search.mp4

05:53

48 - Binary Search Trees Conclusion.mp4

01:20

7 - Graphs

49 - Section Introduction.mp4

00:33

50 - Graphs The Basics.mp4

10:18

51 - Graphs Implementation.mp4

21:21

52 - Graphs Breadth First Search.mp4

13:50

53 - Graphs Depth First Search.mp4

11:01

54 - Graphs Conclusion.mp4

01:09

8 - Computational Complexity

55 - Section Introduction.mp4

01:09

56 - Big O Notation Introduction.mp4

11:24

57 - Big O Arrays.mp4

05:09

58 - Big O Stacks and Queues.mp4

05:37

59 - Big O Linked Lists.mp4

11:32

60 - Big O Binary Search Trees.mp4

12:43

61 - Big O Graphs.mp4

02:35

62 - Big O Conclusion.mp4

00:46

9 - Course Conclusion

63 - Course Conclusion and whats next.mp4

02:14

Description

Understand and Implement data structures from absolute scratch in python. Learn about computational complexity.

What You'll Learn?

Understand the most important data structures
Implement Data structures from scratch in python
Analyze algorithms using the big O notation
Reverse a linked list
Understand and implement stacks, queues, trees, linked lists and graphs from scratch

Who is this for?

Beginner python programmers curious about data structures

Beginners wanting to up their programming game

Beginners interested in learning about data structures from scratch

More details

Description
You'll learn about the most important and basic data structures that every veteran programmer knows about in detail. By the end of the course, you'll be able to implement these from absolute scratch.
The course is designed to help the students write their own code.Â Each module has explanation parts and implementation parts, you're encouraged to implement an explained topic on your own.
Data Structures covered in the course.
Singly Linked Lists
Doubly Linked Lists
Stacks
Queues
Binary SearchÂ Trees
Graphs
Computational Complexity
Algorithms
Reversing a linked list
Recursive and iterative tree traversal
Breadth First Search
DepthÂ First Search
Analysis
Big O notation
Who is this course for?
Many people learn programming and are told to learn data structures and algorithms to pass coding interviews and get jobs. This course is designed for an individual who has some python programming knowledge and wants to get better at it by learning data structures. Even if you have no python experience but know some other programming language, this can be a great chance to learn python. For people who don't know python, this provides programming problems to get better at python.
How the course is designed
The course is designed with 7 major modules. We go from installing python, to setting up jupyter notebook to understanding and implementing data structures from scratch. We also visualize computational complexity of different operations we write for these data structures in the final section on computational complexity.
What will you get out of it
Better understanding of data structures.
More tools at your disposal for solving programming problems.
Ability to implement data structures from scratch in python.
Opportunity to practice python.
Who this course is for:
Beginner python programmers curious about data structures
Beginners wanting to up their programming game
Beginners interested in learning about data structures from scratch

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I am a self-taught software engineer focusing on software development and deep learning. I focus on teaching my students practical software engineering so that they can perform at their best abilities in the real world. I love programming in python, if everyone knew how to write python life would be much better. Learning python is easy, I try to help people with new technologies in python to increase the overall productivity of the world.

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