Algorithms And Data Structures

Searching 🇺🇸

Searching is the task of finding whether a particular value exists in a collection and, if it does, where it lives (its index, pointer, node, or associated value). It shows up everywhere: checking if a username is taken, locating a record in a database, finding a file in an index, routing packets, o...

Graphs 🇺🇸

In many areas of life, we come across systems where elements are deeply interconnected, whether through physical routes, digital networks, or abstract relationships. Graphs offer a flexible way to represent and make sense of these connections...

Data Structures 🇺🇸

In computer science, a collection (often interchangeably referred to as a container) is a sophisticated data structure designed to hold multiple entities, these could be simple elements like numbers or text strings, or more complex objects like user-defined structures. Collections help you store, or...

Dynamic Programming 🇺🇸

Dynamic Programming (DP) is a way to solve complex problems by breaking them into smaller, easier problems. Instead of solving the same small problems again and again, DP stores their solutions in a structure like an array, table, or map. This avoids wasting time on repeated calculations and makes t...

Sorting 🇺🇸

In the realm of computer science, 'sorting' refers to the process of arranging a collection of items in a specific, predetermined order. This order is based on certain criteria that are defined beforehand...

Basic Concepts 🇺🇸

Data structures and algorithms are fundamental concepts in computer science and they are the only way to write efficient software...

Backtracking 🇺🇸

Backtracking is a method used to solve problems by building potential solutions step by step. If it becomes clear that a partial solution cannot lead to a valid final solution, the process "backtracks" by undoing the last step and trying a different path. This approach is commonly applied to constra...

Brain Teasers 🇺🇸

Programming puzzles and brain teasers are a fun way to sharpen your coding and problem-solving skills. You’ll often see them in technical interviews, where they’re used to test how you think, analyze problems, and come up with efficient solutions. To do well, it helps to practice and build solid str...

Math Set Relationship 🇺🇸

You begin with a small set of “building blocks,” and then you systematically manufacture bigger collections (pairs, sequences, subsets, orderings). The punchline is always the same: what did you build, how many objects exist, and what does it cost to generate them? If you care about algorithms, this...

Greedy Algorithms 🇺🇸

Greedy algorithms are the “make progress now” strategy: build a solution one step at a time, and at each step take the option that looks best right now according to a simple rule (highest value, earliest finish, smallest weight, smallest distance label, etc.). You keep the choice only if it doesn’t ...

Matrices 🇺🇸

Matrices represent images, game boards, and maps. Many classic problems reduce to transforming matrices, traversing them, or treating grids as graphs for search...