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Data Structures notes

32 notes by 24 users

This Data Structures page gathers over 30 notes by more than 20 GoConqr users, covering recursion, queues, Python lists and more. University students and professional candidates can use them to practise data structures, while school students can revise topics and teachers can find ready-made material. The notes span school and university levels. Pick a topic and explore the notes.

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Notes

More Data Structures resources

About data structures notes

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Using data structures notes

The notes on this page cover structures and operations, from queues and sorted lists to heaps and iterators. Dictionary introduces key-value pairs, while Python includes examples of creating lists. Other notes cover recursion, binary trees and graph algorithms.

For a clear starting point, try Queues. It sets out where items are added and removed, as well as the role of front and back pointers. If you are working with Python, the notes in Python offer a starting point for lists.

Plan your revision

Read a note on one structure, then write down its key features in your own words. Return to the note to check what you remembered. You could compare the rules in Queues with the notes on sorted lists, where entries are placed according to their order.

When you want a visual overview or a chance to test your recall, switch to a mind map or quiz on the Data Structures unit page. Choose a note to begin your next revision session.

Frequently asked questions

Which note is a good place to start?

Try Queues if you want to focus on one structure. It explains that items are added at the back and removed from the front, and introduces front and back pointers. For Python practice, the Python notes include examples of creating lists.

Are these notes free to use?

Yes. Every note listed here is free to open and study without an account. The resources were made by GoConqr users. A free account also lets you make your own quizzes, mind maps, flashcards and notes, and save quiz scores.

What topics and levels do the notes cover?

The collection spans school and university levels, with notes on topics including recursion, queues, iterators, sorted lists and graph algorithms. University students and professional candidates can use it alongside their study, while school students can revise a topic and teachers can find material to use.

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