Thread by @swapnakpanda

DSA - Starter Kit 🚀

⇨ Who should learn?
⇨ Why to learn?
⇨ What should we start with?
⇨ How much is necessary?
⇨ Where to learn?

A comprehensive startup, oops "Starter Kit"

⇩

0️⃣ Let's Talk

✪ What is DSA?
→ DSA stands for "Data Structures and Algorithms"
→ DSA is a subject of study and, practice mostly in "Programming Domain"
→ Unlike popular belief, DSA is not one thing, rather 2 tightly coupled topics.

✪ What is a Data Structure?
A data structure is a way of organising (or, collecting) the data so that it can be used efficiently and effectively.

✪ What is an Algorithm?
An algorithm is a set of instructions for solving a problem or accomplishing a task.

1️⃣ Who should learn?

✪ You don't necessarily have to be a programmer to learn DSA.

✪ You should learn if you are interested in solving problems and/or organising data.

2️⃣ Why to learn?

✪ If there are so much "clumsy data" that you are going to handle, learn about "data structures" for better organising it.

✪ If you are trying to "solve a problem or accomplish an unfinished task", learn about various algorithms.

3️⃣ What should we start with?

✪ If you are not going to program, you just need a pen and paper to start with.

✪ If you would program, you need a programming language.

✪ Which programming language is better for DSA?
✅Anything is fine

But a language with 👇 features should mostly be preferred

→ Structures/Objects
→ Allocation and deallocation of memory
→ References (Pointers)
→ Raw Arrays

For various reasons, C/C++ are highly preferred

4️⃣ How much is necessary?

✪ Tough thing to answer. But learn as much required for your job to be done.

✪ Basic knowledge is very important.

✪ Here I provide a basic list. Choose what is required for you.

4️⃣.1️⃣ Data Structures

→ Array
↳ 1-Dimensional
↳ Multi Dimensional
→ Linked List
↳ Single
↳ Double
↳ Circular
→ Stack
→ Queue
→ Set
→ Hash Table
→ Tree
↳ Binary Tree
↳ Binary Search Tree
→ Graph

4️⃣.2️⃣ Algorithms

→ Sorting
→ Searching
→ Reversing
→ Rotating
→ Grouping
→ Divide and Conquer
→ Recursive
→ Greedy
→ Dynamic Programming

5️⃣ Where to learn?

→ Books
→ Blogs/Articles
→ Videos/Courses
→ Practice/Challenge

5️⃣.1️⃣ Books

1️⃣ Grokking Algorithms
Author: Aditya Bhargava

2️⃣ Introduction to Algorithms
Authors: Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein

3️⃣ Introduction to Algorithms
Author: Udi Manber

4️⃣ The Algorithm Design Manual
Author: Steven S. Skiena

5️⃣ Algorithms
Authors: Robert Sedgewick & Kevin Wayne

6️⃣ Data Structures and Algorithms Made Easy
Author: Narasimha Karumanchi

7️⃣ Data Structures Using C
Authors: Aaron M. Tenenbaum, Yedidyah Langsam & Moshe J. Augenstein

5️⃣.2️⃣ Blogs/Articles

These are external links and, I am not promoting or, having any affiliation. These have strong developer community.

1️⃣ Programiz
2️⃣ GeeksForGeeks
3️⃣ TowardsDataScience
4️⃣ FreeCodeCamp
5️⃣ My Personal Blog ⇨ Coming Soon

5️⃣.3️⃣ Videos/Courses

Learn from video tutorials/courses 👇

→ YouTube
↳ Abdul Bari
↳ Geometry Lab
↳ MyCodeSchool
↳ FreeCodeCamp
↳ My Channel ⇨ Coming Soon
→ External
↳ FreeCodeCamp
↳ Community Classroom

5️⃣.4️⃣ Practice/Challenge

Practice and challenge yourself with many competitive programmers in 👇 sites

→ Hackerrank
→ Leetcode
→ Codechef
→ GeeksForGeeks
→ CodeForces

5️⃣.5️⃣ Twitter Threads

I have been sharing contents related to DSA regularly. And many will be posted in coming days.

I have organised all these in a "Twitter Moment" so that it's easily accessible to every one. Find it 👇

twitter.com/i/events/14502…