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Data Structures & Algorithms · Python

Data Structures & Algorithms in Python

Learn data structures and algorithms visually through animations, clear explanations, Python implementations, complexity analysis, and coding problems.

18+ Hours180+ LessonsPython
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Data Structures & Algorithms in Python

What you'll learn

Think like an engineer, code in Python

  • ✓Understand how every core data structure works in memory
  • ✓Visualize algorithms step by step before writing code
  • ✓Analyze time and space complexity with Big O notation
  • ✓Write clean, idiomatic implementations from scratch
  • ✓Recognize common patterns in coding interview problems
  • ✓Choose the right data structure for real-world tasks
binary_search.py
1def binary_search(arr, target):
2    left, right = 0, len(arr) - 1
3    while left <= right:
4        mid = (left + right) // 2
5        if arr[mid] == target:
6            return mid
7        if arr[mid] < target:
8            left = mid + 1
9        else:
10            right = mid - 1
11    return -1

Curriculum

Course content

  1. 01

    Big O & Complexity

    Measure time and space so you can compare solutions with confidence.

  2. 02

    Arrays & Strings

    Two pointers, sliding windows, prefix sums and in-place techniques.

  3. 03

    Linked Lists

    Singly and doubly linked lists, fast & slow pointers, reversal.

  4. 04

    Stacks & Queues

    LIFO and FIFO structures, monotonic stacks and deques.

  5. 05

    Hash Tables

    Hashing, collisions and constant-time lookups explained visually.

  6. 06

    Recursion & Backtracking

    Watch the call stack grow and unwind, then generate every solution.

  7. 07

    Sorting & Searching

    Bubble to merge and quick sort, plus binary search on any space.

  8. 08

    Trees & BSTs

    Traversals, balanced trees and binary search tree operations.

  9. 09

    Heaps & Priority Queues

    Heapify step by step and solve top-k and scheduling problems.

  10. 10

    Graphs

    BFS, DFS, shortest paths, topological sort and union-find.

  11. 11

    Greedy Algorithms

    Learn when the locally best choice leads to the global optimum.

  12. 12

    Dynamic Programming

    Memoization and tabulation, built up one table cell at a time.

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