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Learn Data Structures and Algorithms with Python

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Introduction to Programming with Python

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Overview

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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.

Syllabus

  • 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: Understanding Nodes in Data Structures
    • 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: What is 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

Taught by

Alisha Grama

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4.4 rating at Codecademy based on 162 ratings

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