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Welcome to AlgoMap.io, your ultimate guide to mastering Data Structures and Algorithms in Python! This repository is designed as a complete pathway to help students, developers, and coding enthusiasts enhance their problem-solving skills and ace coding interviews.

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AlgoMap.io - Data Structures & Algorithms in Python

The Complete Pathway
(Inspired by Greg Hogg's YouTube Course)

Welcome to AlgoMap.io, a comprehensive resource for learning Data Structures and Algorithms in Python! This repository complements the amazing YouTube course by Greg Hogg and provides all the code implementations and additional materials discussed throughout the course.

Whether you're a student, developer, or enthusiast, this repo will help you strengthen your foundational knowledge and improve your problem-solving abilities.


📚 Course Information

This repository follows the content from Greg Hogg's YouTube Course:
Data Structures & Algorithms in Python

What you'll learn:

  • Fundamental data structures and algorithms
  • Problem-solving approaches with step-by-step explanations
  • Python code implementations of each topic
  • Real-world coding challenges and their solutions

📂 Repository Structure

The repository is organized to follow the course's flow for easy navigation:

AlgoMap.io/
│
├── /DataStructures/        # Data structures implementations in Python
│    ├── arrays.py          # Arrays and their operations
│    ├── linked_list.py     # Linked lists (singly, doubly, circular)
│    ├── stacks_queues.py   # Stack and queue operations
│    └── ...
│
├── /Algorithms/            # Popular algorithms with explanations
│    ├── sorting.py         # Sorting algorithms (quick sort, merge sort, etc.)
│    ├── searching.py       # Searching algorithms (binary search, linear search)
│    ├── dynamic_programming.py # Dynamic programming solutions
│    └── ...
│
├── /ProblemSets/           # Coding challenges with solutions
│    ├── problem1.py        # Problem 1 - explanation and solution
│    ├── problem2.py
│    └── ...
│
└── /CourseMaterials/       # Additional notes and references from the course
     ├── notes.pdf
     └── slides/

🚀 Getting Started

To start learning and coding along with the course:

  1. Clone the repository:
   git clone https://github.com/your-username/AlgoMap.io.git
  1. Navigate to the project directory:
  cd AlgoMap.io
  1. Explore the code for various data structures, algorithms, and problem sets.

  2. Run any Python script locally to see how it works:

  python3 DataStructures/arrays.py

Greg Hogg's YouTube Course - Quick Links

Watch the Course on YouTube: https://youtube.com/playlist?list=PLKYEe2WisBTFEr6laH5bR2J19j7sl5O8R&si=pZnWTsiAuPBaZOhf

All video lectures and lessons are available on Greg Hogg's official channel.

Course Outline & Topics

The course covers:

  • Introduction to Algorithms & Data Structures
  • Arrays and Lists
  • Stacks and Queues
  • Linked Lists
  • Hashing and Hash Tables
  • Trees and Binary Trees
  • Graphs and Graph Algorithms
  • Sorting and Searching Algorithms
  • Dynamic Programming
  • Greedy Algorithms
  • Backtracking & Recursion

🛠️ Tools & Setup

To follow along and run the code, you'll need:

  • Python 3.x installed on your machine
  • A code editor (e.g., VSCode, PyCharm)
  • (Optional) Jupyter Notebooks for interactive coding

Installing Python Packages (if required)

Install necessary libraries:

pip install -r requirements.txt

🤝 Contributions

Feel free to contribute! Whether it's improving the documentation, adding new examples, or fixing bugs, all contributions are welcome.

Steps to contribute:

  • Fork the repository.
  • Create a new branch for your changes.
  • Submit a pull request.

📄 License

This repository is licensed under the MIT License. See the LICENSE file for more details.

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Welcome to AlgoMap.io, your ultimate guide to mastering Data Structures and Algorithms in Python! This repository is designed as a complete pathway to help students, developers, and coding enthusiasts enhance their problem-solving skills and ace coding interviews.

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