Algorithms

Algorithms are the step-by-step recipes we use to solve problems. If Data Structures are the jars in your pantry, Algorithms are the recipes that tell you how to turn those ingredients into a gourmet meal.

This section covers the essential pattern recognition skills you need to solve complex problems and ace technical interviews.

The Pattern Roadmap

Algorithms are best learned through Patterns. Instead of memorizing 1,000 problems, learn these core strategic categories:

Sorting & Searching

The bedrock of efficiency.

• Binary Search
• Merge Sort & Quick Sort

Graph Traversal

Managing connections and networks.

• BFS & DFS
• Dijkstra's Algorithm

Advanced Paradigms

• Dynamic Programming (DP): Solving sub-problems to find the global optimum.
• Greedy Algorithms: Making the local best choice at each step.
• Backtracking: Exploring every path and cutting off failures early.

The "Big O" Mindset

In every algorithm guide, we analyze the Time and Space Complexity. We don't just care if it works—we care if it's scalable.

Select a pattern from the sidebar to get started!