Algorithmic Thinking with Python: Diving Deeper

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Free Online Course: Algorithmic Thinking with Python: Diving Deeper provided by LinkedIn Learning is a comprehensive online course, which lasts for 1-2 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Algorithmic Thinking with Python: Diving Deeper is taught by Robin Andrews.

Overview
  • Get familiar and competent with a wide range of algorithmic thinking skills, so you can solve new problems as they present themselves in a constantly changing world.

Syllabus
  • Introduction

    • Exploration of algorithmic thinking
    1. Warmup
    • The two-sum interview problem
    • The two-sum interview problem solution
    • Number placement puzzle
    2. Divide and Conquer
    • Triominoes puzzle
    • Triominoes puzzle solution
    • Introduction to divide and conquer
    • Quicksort introduction
    • Implementing Quicksort in Python
    • Challenge: Implementing Fibonacci function in Python
    • Solution: Implementing Fibonacci function in Python
    3. Transform and Conquer
    • Coins on a star puzzle
    • Coins on a star puzzle solution
    • Introduction to transform and conquer
    • Presort for mode finding
    • Number placement puzzle revisited
    • Challenge: Implement number puzzle solution in Python
    • Solution: Implement number puzzle solution in Python
    4. Dynamic Programming
    • Introduction to dynamic programming
    • Top-down dynamic programming example
    • Bottom-up dynamic programming example
    • The knapsack problem: Theory
    • The knapsack problem: Python implementation
    • Challenge: The knapsack problem
    • Solution: The knapsack problem
    5. Hash Tables
    • What are hash tables?
    • Python code for hash tables
    • Python dictionaries
    • Two-sum problem revisited
    • Challenge: Ransom note
    • Solution: Ransom note
    Conclusion
    • Next steps