Beginner’s Roadmap to Learn Data Structures & Algorithms
1. Foundations: Start with the basics of programming and mathematical concepts to build a strong foundation.
2. Data Structure: Dive into essential data structures like arrays, linked lists, stacks, and queues to organise and store data efficiently.
3. Searching & Sorting: Learn various search and sort techniques to optimise data retrieval and organisation.
4. Trees & Graphs: Understand the concepts of binary trees and graph representation to tackle complex hierarchical data.
5. Recursion: Grasp the principles of recursion and how to implement recursive algorithms for problem-solving.
6. Advanced Data Structures: Explore advanced structures like hashing, heaps, and hash maps to enhance data manipulation.
7. Algorithms: Master algorithms such as greedy, divide and conquer, and dynamic programming to solve intricate problems.
8. Advanced Topics: Delve into backtracking, string algorithms, and bit manipulation for a deeper understanding.
9. Problem Solving: Practice on coding platforms like LeetCode to sharpen your skills and solve real-world algorithmic challenges.
10. Projects & Portfolio: Build real-world projects and showcase your skills on GitHub to create an impressive portfolio.
Best DSA RESOURCES: https://topmate.io/coding/886874
All the best 👍👍
1. Foundations: Start with the basics of programming and mathematical concepts to build a strong foundation.
2. Data Structure: Dive into essential data structures like arrays, linked lists, stacks, and queues to organise and store data efficiently.
3. Searching & Sorting: Learn various search and sort techniques to optimise data retrieval and organisation.
4. Trees & Graphs: Understand the concepts of binary trees and graph representation to tackle complex hierarchical data.
5. Recursion: Grasp the principles of recursion and how to implement recursive algorithms for problem-solving.
6. Advanced Data Structures: Explore advanced structures like hashing, heaps, and hash maps to enhance data manipulation.
7. Algorithms: Master algorithms such as greedy, divide and conquer, and dynamic programming to solve intricate problems.
8. Advanced Topics: Delve into backtracking, string algorithms, and bit manipulation for a deeper understanding.
9. Problem Solving: Practice on coding platforms like LeetCode to sharpen your skills and solve real-world algorithmic challenges.
10. Projects & Portfolio: Build real-world projects and showcase your skills on GitHub to create an impressive portfolio.
Best DSA RESOURCES: https://topmate.io/coding/886874
All the best 👍👍
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Which of the following is *not* a core concept of OOP?
Anonymous Quiz
3%
a) Inheritance
90%
b) Compilation
4%
c) Encapsulation
2%
d) Polymorphism
❤3
What is encapsulation in OOP?
Anonymous Quiz
5%
a) Reusing existing code
83%
b) Binding data and methods together & hiding internal details
5%
c) Accessing base class methods
7%
d) Overriding methods in subclasses
❤1
Which keyword is used for inheritance in Java?
Anonymous Quiz
8%
a) implement
5%
b) derive
61%
c) extends
25%
d) inherits
❤1
What is polymorphism in OOP?
Anonymous Quiz
9%
a) Defining many classes
3%
b) Using many variables
75%
c) One function behaving differently in different classes
13%
d) Multiple constructors in one class
❤1
Which concept uses abstract classes or interfaces?
Anonymous Quiz
16%
a) Polymorphism
15%
b) Inheritance
60%
c) Abstraction
9%
d) Encapsulation
❤3
Which Python function is used to take input from the user?
Anonymous Quiz
19%
A. get()
73%
B. input()
4%
C. read()
5%
D. scanf()
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