Learn Data Structures and Algorithms with Python

Learn what data structures and algorithms are, why they are useful, and how you can use them effectively in Python.

### Why Learn Data Structures and Algorithms

At the backbone of every program or piece of software are two entities: data and algorithms. Algorithms transform data into something a program can effectively use. Therefore, it is important to understand how to structure data so algorithms can maintain, utilize, and iterate through data quickly.

### Take Away Skills

By completing this course, you will be able to:
* Recognize the differences between a data structure and an algorithm
* Create and manipulate data structures such as linked lists, queues, hash maps, graphs, and more in Python
* Understand the characteristics of various advanced algorithms as well as be able to implement them in Python
* Analyze the space and time complexity of different data structures and algorithms

• Introduction to Data Structures and Algorithms: Take your first steps into data structures and algorithms in Python!
• Article: Why Data Structures and Algorithms
• Nodes: Learn about nodes, the building-block data structure.
• Article: Nodes
• Lesson: Nodes: Python
• Quiz: Nodes
• Linked Lists: Learn about linked lists and how to build them in Python.
• Article: Linked Lists: Conceptual
• Lesson: Linked Lists: Python
• Quiz: Linked Lists Quiz
• Article: Swapping Elements in a Linked List
• Article: Two-Pointer Linked List Techniques
• Doubly Linked Lists: Learn about doubly linked lists and how to implement them in Python.
• Article: Doubly Linked Lists
• Lesson: Doubly Linked Lists: Python
• Quiz: Doubly Linked List Quiz
• Queues: Learn about queues and how to implement them in Python.
• Article: Queues: Conceptual
• Lesson: Queues: Python
• Quiz: Queues Quiz
• Stacks: Learn about stacks in Python.
• Article: Stacks: Conceptual
• Lesson: Stacks: Python
• Quiz: Stacks Quiz
• Project: Towers of Hanoi
• Hash Maps: Learn about hash maps and how to implement them in Python.
• Lesson: Hash Maps: Conceptual
• Quiz: Hash Maps: Conceptual
• Lesson: Hash Maps: Python
• Quiz: Hash Maps: Python
• Project: Blossom
• Recursion: Learn about recursion in Python.
• Lesson: Recursion: Conceptual
• Quiz: Recursion: Conceptual
• Lesson: Recursion: Python
• Quiz: Recursion: Python
• Lesson: Recursion vs. Iteration - Coding Throwdown
• Article: Code Challenge: Recursion
• Asymptotic Notation: Learn about asymptotic notation and how to use it to improve your code's efficiency.
• Article: Why Asymptotic Notation?
• Lesson: Asymptotic Notation: Conceptual
• Quiz: Asymptotic Notation: Conceptual
• Article: Space Complexity
• Lesson: Asymptotic Notation: Python
• Quiz: Asymptotic Notation: Python
• Pattern Searching: Learn about the naive pattern search algorithm.
• Article: Naive Pattern Search: Conceptual
• Lesson: Naive Pattern Search: Python
• Quiz: Naive Pattern Search: Quiz
• Article: Code Challenge: Naive Pattern Search
• Sorting Algorithms: Learn about bubble sort, merge sort, and quicksort and how to implement them in Python.
• Lesson: Bubble Sort: Conceptual
• Lesson: Bubble Sort: Python
• Quiz: Bubble Sort: Python
• Lesson: Merge Sort: Conceptual
• Lesson: Merge Sort: Python
• Quiz: Merge Sort: Python
• Lesson: Quicksort: Conceptual
• Lesson: Quicksort: Python
• Quiz: Quicksort: Python
• Article: Sort Runtimes
• Project: A Sorted Tale
• Brute Force Algorithms: Learn about brute force algorithms.
• Article: Brute Force Algorithms
• Lesson: Linear Search: Conceptual
• Lesson: Linear Search: Python
• Quiz: Brute Force
• Trees: Learn about trees and how to build them in Python.
• Article: Trees: Conceptual
• Lesson: Trees: Python
• Quiz: Trees Quiz
• Project: Choose Your Own Adventure: Wilderness Escape
• Tree Traversal: Breadth-First Search and Depth-First Search: Learn about two different methods of tree traversal.
• Article: Tree Traversal: Breadth-First Search vs Depth-First Search
• Article: Breadth-First Search: Conceptual
• Lesson: Breadth-First Search: Python
• Quiz: Breadth-First Search
• Article: Depth-First Search: Conceptual
• Lesson: Depth-First Search: Python
• Quiz: Depth-First Search
• Divide and Conquer: Learn about divide and conquer algorithms, with a focus on binary search and binary search trees.
• Article: Divide and Conquer Algorithms
• Lesson: Binary Search: Conceptual
• Lesson: Binary Search: Python
• Lesson: Binary Search Trees: Python
• Quiz: Binary Search Trees: Python
• Heaps and Heapsort: Learn about heaps and heapsort, and implement them in Python.
• Article: Max-Heaps
• Lesson: Max-Heaps: Python
• Quiz: Max-Heaps Quiz
• Article: Heapsort
• Lesson: Heapsort: Python
• Quiz: Heapsort Quiz
• Graphs and Graph Search: Learn about and implement graphs and graph search in Python.
• Lesson: Graphs: Conceptual
• Quiz: Graphs: Conceptual
• Lesson: Graphs: Python
• Quiz: Graphs: Python
• Lesson: Graph Search: Conceptual
• Quiz: Graph Search: Conceptual
• Lesson: Graph Search: Python
• Quiz: Graph Search: Python
• Project: Build a Routing Program to Help Vancouver Commuters
• Greedy Algorithms: Learn about greedy algorithms and implement Dijkstra's algorithm in Python.
• Article: Greedy Algorithms
• Lesson: Dijkstra's Algorithm: Conceptual
• Quiz: Dijkstra's Algorithm: Conceptual
• Lesson: Dijkstra's Algorithm: Python
• Quiz: Dijkstra's Algorithm: Python
• Project: Traveling Salesperson
• Pathfinding Algorithms: Learn about pathfinding algorithms and implement the A* algorithm in Python.
• Article: Introduction to Pathfinding
• Lesson: A* Algorithm: Conceptual
• Quiz: A* Algorithm: Conceptual
• Lesson: A* Algorithm: Python
• Quiz: A* Algorithm: Python