CodeWithYash
DSA Learning Path

Build the reasoning.Then write the code.

Study one invariant at a time, trace a concrete example, and connect the implementation to its time complexity. Interactive labs remain only where direct manipulation genuinely improves understanding.

Start with arrays Explore full curriculum
Guided learning paths

Choose your goal. Get a clear route.

Each route mixes explanation, interaction, and a checkpoint so you know what to do next.

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Foundations

Build the complexity, problem-solving, mathematical, and bit-manipulation tools used throughout the complete DSA path.

2 modules · 12 lessons

01
Foundation6 lessons

Complexity & Problem Solving

Learn how to measure growth, reason about trade-offs, and turn a problem statement into an algorithm.

1Big O, Ω, and Θ TheoryUpper, lower, and tight asymptotic bounds.2Best, average, and worst case TheoryHow the same algorithm behaves across different inputs.3Space complexity TheoryInput space, auxiliary space, and recursion stacks.4Amortized analysis TheoryAverage cost across a sequence of operations.5Recurrences & Master Theorem TheoryAnalyze divide-and-conquer algorithms.6Problem-solving workflow TheoryExamples, constraints, brute force, invariants, and optimization.
Complete theory and guided execution
02
Foundation6 lessons

Math, Number Theory & Bits

Build the mathematical tools used by counting, hashing, modular arithmetic, and bitwise algorithms.

1GCD & LCM TheoryEuclidean algorithm and divisibility.2Prime numbers & sieve TheoryPrimality testing and Sieve of Eratosthenes.3Modular arithmetic TheoryOverflow-safe arithmetic and cyclic values.4Combinatorics TheoryPermutations, combinations, and counting choices.5Bit operations TheorySet, clear, toggle, test, and count bits.6XOR patterns TheoryCancellation, missing values, and unique elements.
Complete theory and guided execution

Track 01 · Foundation

Data Structures

Follow the sequence for a guided path, or jump directly to the structure you want to understand.

01
Foundation 12 min

Arrays

Store values next to each other and reach any position immediately with an index.

Open focused lab
02
Foundation 10 min

Stacks

Use Last In, First Out ordering when only the most recently added value should be removed.

Open focused lab

One repeatable method

Every lesson follows the same learning loop.

01

Build the mental model

Start with memory layout, invariants, and a familiar analogy.

02

Change it yourself

Insert, delete, search, and watch references or positions update.

03

Connect cost to motion

See why each operation is O(1), O(log n), or O(n).

04

Check understanding

Finish with implementation notes, mistakes, and a short question.