Data Structure & Algorithms

Data Structures and Algorithms (DSA) are the foundation of efficient problem solving in computer science. They define how data is organized, how operations are performed, and how efficiently problems can be solved.

This section is a structured, practical guide to core data structures and algorithms, with clear explanations and idiomatic Rust implementations.

How This Section Is Organized

The content is arranged in a progressive learning order, starting from basic concepts and moving toward more advanced structures and techniques.

Each topic builds on ideas introduced earlier.

Learning Sequence

1. Sorting Algorithms Learn how data can be ordered efficiently and understand algorithmic complexity.

2. Searching Algorithms Explore linear and binary search techniques for locating elements.

3. Linked Lists Understand pointer-based data structures and dynamic memory layouts.

4. Stacks & Queues Learn constrained-access data structures used in execution flow and traversal.

5. Hash Tables Master constant-time lookup using hashing and collision handling.

6. Recursion & Backtracking Learn how problems can be solved by breaking them into smaller subproblems.

7. Trees Explore hierarchical data structures including BSTs, heaps, and self-balancing trees.

8. Graphs Model complex relationships and learn traversal and shortest-path algorithms.

9. Dynamic Programming Optimize recursive solutions by reusing overlapping subproblems.

What to Expect in Each Topic

Each topic typically includes:

• Conceptual explanation
• Step-by-step examples
• Rust implementations
• Time and space complexity analysis
• Common pitfalls and variations

The focus is on understanding first, optimization second.

Why Rust?

Rust is used throughout this section because it:

• Encourages memory-safe data structure design
• Makes ownership and borrowing explicit
• Forces clear thinking about mutability and lifetimes
• Is well-suited for systems-level algorithms

All examples aim to be idiomatic, safe, and educational, not overly abstract.

Who This Is For

This section is suitable for:

• Beginners learning data structures and algorithms
• Rust developers strengthening algorithmic fundamentals
• Interview preparation
• Readers who want a structured reference they can return to

No prior advanced knowledge is assumed, but basic familiarity with Rust syntax is helpful.

How to Use This Section

You can:

• Read topics sequentially for a guided learning path
• Jump to specific data structures as a reference
• Compare multiple implementations and approaches
• Practice by modifying or extending the examples

Each subsection is designed to stand on its own while still fitting into the bigger picture.

Final Note

Data structures and algorithms are not just academic exercises - they shape how real systems are built and optimized. Mastering them will improve how you reason about performance, correctness, and design.

Start with the first section and move forward at your own pace.