Data Structures and Algorithms in Python

This page contains a list of commonly used Data Structures and Algorithms in Python. The source code examples of all the Python Data Structures and Algorithms are up-to-date and are well-tested in our development environment.

Data Structures in Python

A data structure is a specialized format for organizing, processing, retrieving, and storing data. It provides a means to manage vast amounts of data efficiently, and large-scale datasets would be nearly unmanageable without robust data structures.

Sorting and Searching Algorithms in Python

An algorithm is a step-by-step procedure or formula for solving a problem. It's a sequence of steps to perform to achieve a particular output. Algorithms can be represented as pseudocode or flowcharts, among other formats.
Understanding the right data structure and algorithm to use for a given scenario can greatly improve the efficiency (in terms of runtime and memory usage) of software applications. This knowledge becomes especially vital when dealing with large datasets or when performance is a critical aspect of the application.