This repository contains the pseudo-code of various algorithms and data structures necessary for Interview Preparation and Competitive Coding. The pseudocodes are written such that they can be easily adapted to any language. Let us remove the clutter of language and focus on the core concepts of the question.
Features
- In the Pseudocode folder, you can find a lot of algorithms
- There are a lot of pseudocodes with no explanation
- If you are familiar with tikz, pgf or beamer, consider making some animations/graphs/diagrams/plots to explain the various algorithms
- You'll understand the algorithm in depth once you start working on its pseudocode
- You'll get to learn LaTeX which is a great experience in itself
- Documentation available
- Examples available
Project Samples
Categories
TeX/LaTeXLicense
GNU General Public License version 3.0 (GPLv3)Follow Algorithmic Pseudocode
You Might Also Like
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Algorithmic Pseudocode!