Welcome to my personal space of code exploration where I unravel the intricacies of data structures and algorithms. Here lies a collection of my self-crafted implementations, each a stepping stone towards computational mastery. 🧠💡
- Data Structures: Building blocks of efficient code. Discover arrays, linked lists, stacks, queues, trees, hash tables, and more.
- Algorithms: The heart of problem-solving. Delve into sorting, searching, dynamic programming, graph algorithms, and beyond.
- Implementations: From theory to code. Witness the transmutation of abstract concepts into executable reality.
- Analyzing Algorithm Efficiency: The art of measuring code. How does the execution time of an algorithm grow as the input size increases? For an in depth look at the analysis check out Analyzing Algorithm Efficiency
- Big O Notation: The language of algorithmic complexity. For a per data structure and algorithm analysis check out Time Complexities
- Clone the Repository:
git clone https://github.com/rensbril/data-structures-and-algorithms.git cd algorithmic-odyssey
Navigate through the directories to explore the data structures and algorithms. Each directory contains a README explaining the concept and the implementation.
Make sure you have the necessary compilers installed for the language used. Follow the instructions in each directory's README to compile and run the code.
Feel the pull of the coding cosmos? Want to contribute? I welcome any and all help!
Create a new branch (git checkout -b contribute/<contribution>).
Commit your changes (git commit -m 'Add some AmazingFeature').
Push to the branch (git push origin contribute/<contribution>).
Open a Pull Request.
GitHub: @rensbril
Email: rensbril@proton.me
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