Algorithms and Data Structures

This repository contains exercises, concepts, and implementations of algorithms and data structures in Python. Problems and exercises are sourced from platforms such as LeetCode, Codecademy, Educative, and DataCamp.

The goal of this repository is to strengthen problem-solving skills and build a structured reference for common algorithm patterns and data structures.

Topics Covered

• Arrays and Strings
• Hash Tables
• Linked Lists
• Stacks and Queues
• Trees and Graphs
• Recursion
• Sorting Algorithms
• Searching Algorithms
• Dynamic Programming

Structure

algorithms-and-data-structures/
│
├── leetcode/
│   ├── arrays/
│   ├── strings/
│   ├── hash_tables/
│   ├── linked_lists/
│   ├── trees/
│   ├── graphs/
│   └── dynamic_programming/
│
├── codecademy/
│   ├── recursion/
│   ├── sorting/
│   └── searching/
│
├── educative/
│   ├── sliding_window/
│   ├── two_pointers/
│   ├── fast_slow_pointers/
│   └── merge_intervals/
│
├── datacamp/
│   ├── python_algorithms/
│   └── data_structures/
│
├── implementations/
│   ├── sorting/
│   ├── searching/
│   └── data_structures/
│
└── notes/
    ├── time_complexity.md
    ├── algorithm_patterns.md
    └── big_o_cheatsheet.md

Example Problem

Example: Two Sum

# LeetCode 1
# Topic: Hash Table

def twoSum(nums, target):
    lookup = {}

    for i, num in enumerate(nums):
        diff = target - num
        if diff in lookup:
            return [lookup[diff], i]

        lookup[num] = i

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Learning Sources

Problems and exercises are derived from:

• LeetCode
• Codecademy
• Educative
• DataCamp

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Goals

• Practice algorithmic problem solving
• Understand common data structure patterns
• Improve Python implementation skills
• Prepare for technical interviews

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License

This project is licensed under the MIT License.