Built specifically for people who want to learn DSA faster

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"I really appreciate your work, you work is really impressive and helps me understand the algorithms of AIML. Great Work, Keep Doing."

Nirajan

"The Website is good, but the UI could be improved, especially the button texts which should show some loaders ideally, as it get ambiguous when the buttons are not displaying proper text."

Prashant Singh

"Algorithm work without any bugs, and works perfectly. I really like the easy and friendly user interface, easy to access settings, tutorials and area radius."

Ondrej Viklicky

"Super Cool. Honestly, I love the animation and having different algorithms. Work on middle points for the path finding visualiser. It's super good."

Eilon

"The Tokyo map is the best in my opinion, as it has got so much branching visualisation."

Aryan Vijaykumar

"UI looks good. Everything looks very user friendly and simple. Design is professional. List methods feature is really cool. I like how its optimised for mobiles. Great Work, I can make something similar for my college project."

Amay

FAQ

Frequently Asked Questions

What is the need for LearnWhileLearning? LearnWhileLearning helps user's in learning Data Structures and Algorithms with the help visualisers which are personalized as per the user needs.
What all features does LearnWhileLearning offer? As of now, LearnWhileLearning offers three features which are List Methods (No one has ever made anything that ease up the list method learning), Sorting Algorithm Visualiser (Which not only has the basic algorithm but the rare used ones as well), Path Finding Algorithm Visualiser (Has 6 algorithms as of now).
How does this website benefit LearnWhileLearning? The simple answer is that it doesn't, LearnWhileLearning earns no money from the website except for the ads, you can support LearnWhileLearning by clicking on any of the ads (It will cost you nothing).
On what all social media handles is LearnWhileLearning available? As of now, LearnWhileLearning is only available on Instagram.
What are the future additions in this website? Planning to add more algorithms in both Sorting Visualiser & Path Finding Visualiser, and other feature that could help users learn Data Structure & Algorithms.
What is the need for the visualiser? Visualiser play a vital role in making you understand how an algorithm works, be it sorting algorithm visualiser or path finding algorithm visualiser.

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