Fundamentals & Prerequisites
Build the essential foundation for algorithmic problem-solving. This section covers the fundamental concepts you need to understand before diving into specific algorithms and data structures. Master these concepts to approach any coding problem with confidence.
Learning Map
Prerequisites
- Basic programming knowledge in any language
- Understanding of variables, loops, conditionals, and functions
- Basic mathematical concepts (logarithms, exponents)
What's in scope
- Time & Space Complexity Analysis: Understanding Big O notation and how to analyze algorithm efficiency
- Basic Data Structures: Arrays, linked lists, stacks, queues, hash tables, and sets
- Basic Programming Concepts: Two pointers, sliding window, prefix sums, string manipulation, and bit manipulation
How to use this section
- Start with Time & Space Complexity Analysis to understand how to measure algorithm efficiency
- Learn Basic Data Structures to understand the building blocks of algorithms
- Master Basic Programming Concepts for common problem-solving techniques
📄️ Basic Programming Concepts
Master foundational programming concepts including variables, control flow, functions, recursion, and iteration essential for algorithm development.
📄️ Basic Data Structures
Learn fundamental data structures including arrays, linked lists, stacks, queues, and hash tables that form the foundation of algorithmic problem-solving.
📄️ Time and Space Complexity Analysis
Master Big O notation, complexity classes, and amortized analysis to evaluate algorithm efficiency and make informed optimization decisions.