The Software Engineer’s Practical Algorithms & Systems Guide

A must-know reference for engineers without a formal CS background

Modules

1. Algorithms and Data Structures

• Big O Notation - Understanding algorithm complexity and scalability
• Arrays and Objects Performance - Time and space complexity of fundamental data structures
• Searching and Sorting - Common algorithms for finding and organizing data
• Linked Lists, Stacks, and Queues - Fundamental linear data structures
• Trees and Graphs - Hierarchical and network data structures
• Recursion and Iterative Thinking - Approaches to solving problems
• Dynamic Programming (Basics) - Optimizing recursive solutions
• Problem Solving Patterns - Common algorithmic patterns and problem-solving strategies

2. System Design

• Coming soon…

How to use this guide

Each module contains:

• README.md: Overview and navigation
• Topic files: Detailed explanations with examples
• Code examples: TypeScript implementations

Start with Big O Notation to build your foundation.