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Python Data Structures and Algorithms: Complete Guide

Understand the algorithms, performance, and implementation of important data structures. Use advanced Python techniques.
4.7 ★★★★★1,564 studentsCreated by Tim Buchalka, Jean-Paul Roberts, Tim Buchalka's Learn Programming AcademyLast updated Dec 11, 2025🌐 English

What you'll learn

✓Develop problem-solving and debugging skills essential for coding interviews.
✓Apply algorithmic thinking to real-world tasks, writing efficient and readable Python code.
✓Strengthen confidence in data-driven programming and technical interview readiness.
✓Implement core data structures like arrays, stacks, queues, and linked lists from scratch in Python.
✓Understand algorithm efficiency and analyze code performance using Big-O notation.
✓Build and compare sorting and searching algorithms including merge, quick, and binary search.
✓Design and implement trees, heaps, hash tables, and other advanced data structures.
✓Use Python’s built-in tools effectively, such as heapq, deque, and sorted().

Requirements

•Basic knowledge of Python syntax and programming concepts is required.
•Completion of Learn Python Programming Masterclass (or equivalent experience) recommended.
•A computer with Python 3 installed and a code editor such as PyCharm, VS Code, or IntelliJ IDEA.
•No prior experience with data structures or algorithms is required — everything is taught from first principles.

Description

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Student Feedback

4.7
★★★★★
Course Rating
75%
15%
5%
5%
5%
S
Sarah J.
★★★★★2 weeks ago

This course was absolutely amazing! The instructor explained everything clearly and the projects were very helpful.

M
Michael T.
★★★★1 month ago

Great content, highly recommended for beginners. Just wish there were more practice exercises.

D
David K.
★★★★★2 months ago

Best course on this topic I've taken so far. Worth every penny (even better since I got it for free!).

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