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Core Data Structures and Algorithms in Python

Explore beginner DSA with lists, dictionaries, stacks, queues, search, sorting, recursion, and simple complexity reasoning.

Part of IT Career Starter Course

Data structures organize values; algorithms describe how to process them. Learning core examples helps beginners reason about a problem and explain why a solution works.

Choose a useful structure

Lists store ordered values, dictionaries provide key-based lookup, and sets help track unique items. Stacks and queues describe different ways to add and remove items.

Understand search and sorting

Linear search scans values one by one. Binary search narrows a sorted range repeatedly. Sorting puts values in order, and different algorithms trade off simplicity, speed, and memory.

Trace before optimizing

Write down how an algorithm changes its state on a small example. Introductory complexity notation helps compare growth as input size increases, but should complement testing and clear reasoning.

Core DSA is a foundation for further study, not a claim that one short course covers every advanced algorithm or interview problem.

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IT Career Starter Course course Python Data Structures and Core DSA for Beginners guide