Data Structures & Algorithms using Python
This repository is structured in a way to help you understand and implement computational thinking. This will help you solve problems a little more effectively.
The most essential tool kit for anyone writing software. Also just for kicks.
To be able to solve for really large and scalable problems
What does this repository contain?
If you are knight, data structures are your swords and weapons. If you are a football player, data strucutres are your shoes. If you are a chef, data structures are your raw ingredients.
- What a data structure is designed to do
- What are the drawbacks of a data structure
- How can it be improved
If you are knight, algorithms are your fighting skills using your swords and weapons. If you are football player, algorithms are your dribbling skills wearing those shoes. If you are a chef, algorithms are your mixology skills using your raw ingredients.
BUT - Efficiency is of the essence for a computer person - not how well you fight or how good you can dribble or how good your food tastes. What matters is how fast and efficiently your program runs.
- How an algorithm uses a data strucuture
- Why is one algorithm faster than the other
A bunch of experiments that uses data structures and algorithms to solve problems.
A bunch of test cases are written here to help write better code. It's a great way to say if something works as intended.
All of the code written is documented using the pydoc standards. Every function, class and file is documented to help understand better.