Last Updated: 12 Jun, 2025
Ninjas SDE Sheet
Ninjas SDE Sheet is your gateway to acing SDE interviews! Packed with essential coding challenges frequently encountered in top-tier company interviews, this sheet is your trusty companion for major placement preparations. Discover a curated collection of problems that have helped many aspirants secure their ideal roles. Dive into the SDE Sheet, conquer the DSA challenges, and prepare to shine in interviews with leading MNCs. Best wishes for your coding adventures!
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Arrays
Backtracking
Binary Search
Binary Search Trees
Binary Trees
Bit Manipulation
Breadth-first Search
Conditionals
Depth-first Search
Divide and Conquer
Dynamic Programming
Fundamentals
Graph
Greedy
Hash Table
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Problem Title
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15 mins
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10 mins
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Frequently Asked Questions
What is the SDE Problem Sheet?
The SDE Problem Sheet is a curated collection of algorithmic problems aimed at helping software developers refresh and enhance their Data Structures and Algorithms (DSA) skills. It covers a range of difficulties, starting from basic problems in the easy sheet to more complex algorithms as one grinds towards the ninja sheet.
Who is the target audience for this Problem Sheet?
The Problem Sheet is designed for software developers who want to revisit and strengthen their DSA skills. It caters to individuals looking to reacquaint themselves with essential concepts and tackle problems of varying difficulty levels.
What topics does the Problem Sheet cover?
The Problem Sheet comprehensively covers essential DSA topics such as arrays, linked lists, stacks, queues, trees, heaps, hash tables, and graphs. It progresses through lower-difficulty problems for foundational understanding and advances to higher difficulty levels, incorporating complex algorithms like dynamic programming and advanced graph algorithms.
How can I use the SDE Problem Sheet effectively?
Start by solving problems based on your current skill level. Gradually progress to more challenging problems as you gain confidence. Focus on understanding the underlying concepts, time and space complexities, and optimal solutions.
Are solutions provided for the problems?
Yes, all problems have a provided solution. It's beneficial to attempt solving the problems on your own first and then refer to the solutions to compare and learn.