Welcome to the official repository for the ND256 - Data Structures and Algorithms course from Udacity. This repository contains all the project materials, starter code, and resources you need to successfully complete the course and master data structures and algorithms.
The Data Structures and Algorithms course is designed to help you build a solid foundation in algorithms and data structures. Throughout this course, you will learn how to implement and apply various data structures and algorithms to solve complex problems efficiently.
This repository is organized into different directories, each corresponding to a specific project or concept covered in the course:
introduction/: Contains introductory materials, resources, and exercises of the introduction course.data-structures/: Contains starter code, exercises, and solutions of the data structures course.basic-algorithms/: Contains starter code, exercises, and solutions of the basic algorithms course.advanced-algorithms/: Contains starter code, exercises, and solutions of the advanced algorithms course.
The nanodegree includes several hands-on projects designed to reinforce your understanding of data structures and algorithms:
- Unscramble Computer Science Problems: Analyze and solve problems using data structures and algorithms.
- Show Me the Data Structures: Implement various data structures to solve real-world problems.
- Problem vs. Algorithms: Tackle a series of algorithmic problems using the best approaches.
- Route Planner: Use A* algorithms to find the shortest path between locations.
Each project folder contains a README.md with specific instructions and requirements for that project. You will also find starter code and test cases to help you get started.
To get started with the course projects:
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Clone the repository to your local machine using the following command:
git clone https://github.com/udacity/nd256-data-structures-and-algorithms.git
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Navigate to the project directory that you want to work on.
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Follow the instructions in the project's
README.mdfile to set up your environment, run tests, and start coding.
Before beginning the projects, make sure you have the following installed:
- Python 3.9+
- A code editor or IDE (e.g., VS Code, PyCharm)
- Basic knowledge of Python and algorithms
This repository is part of Udacity's course materials and is intended for educational purposes. If you find any issues or have suggestions for improvement, please feel free to create an issue or submit a pull request.
This project is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International License. See the LICENSE file for more details.
We would like to thank the Udacity team for creating this comprehensive course and providing these valuable resources.
Happy coding, and good luck with your journey in mastering data structures and algorithms!