Algorithmic Thinking with Python: Diving Deeper

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Robin Andrews

1:07:01

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01 - Introduction

01 - Exploration of algorithmic thinking.mp4

00:45

02 - 1. Warmup

01 - The two-sum interview problem.mp4

02:42

02 - The two-sum interview problem solution.mp4

01:59

03 - Number placement puzzle.mp4

02:00

03 - 2. Divide and Conquer

01 - Triominoes puzzle.mp4

00:45

02 - Triominoes puzzle solution.mp4

01:49

03 - Introduction to divide and conquer.mp4

01:24

04 - Quicksort introduction.mp4

03:18

05 - Implementing Quicksort in Python.mp4

02:41

06 - Challenge Implementing Fibonacci function in Python.mp4

03:07

07 - Solution Implementing Fibonacci function in Python.mp4

01:31

04 - 3. Transform and Conquer

01 - Coins on a star puzzle.mp4

01:28

02 - Coins on a star puzzle solution.mp4

01:08

03 - Introduction to transform and conquer.mp4

01:05

04 - Presort for mode finding.mp4

03:29

05 - Number placement puzzle revisited.mp4

02:55

06 - Challenge Implement number puzzle solution in Python.mp4

03:29

07 - Solution Implement number puzzle solution in Python.mp4

02:49

05 - 4. Dynamic Programming

01 - Introduction to dynamic programming.mp4

00:56

02 - Top-down dynamic programming example.mp4

02:26

03 - Bottom-up dynamic programming example.mp4

00:47

04 - The knapsack problem Theory.mp4

05:07

05 - The knapsack problem Python implementation.mp4

03:54

06 - Challenge The knapsack problem.mp4

00:36

07 - Solution The knapsack problem.mp4

00:16

06 - 5. Hash Tables

01 - What are hash tables.mp4

03:18

02 - Python code for hash tables.mp4

01:42

03 - Python dictionaries.mp4

02:26

04 - Two-sum problem revisited.mp4

02:15

05 - Challenge Ransom note.mp4

02:10

06 - Solution Ransom note.mp4

02:09

07 - Conclusion

01 - Next steps.mp4

00:35

Description

The need for competent problem solvers has never been greater, and Python has become an important programming language. Because of its clarity and expressiveness, Python is an ideal tool to explore algorithmic thinking. In this course, Robin Andrews explains algorithmic thinking and guides you through puzzles, problems, and theories to help you build and challenge your skills. After a warmup problem, Robin shows you how to use the divide and conquer problem solving technique and the Quicksort algorithm, with puzzles to practice each. He dives into the transform and conquer technique that applies preprocessing to the data for a problem before implementing a solution, with additional puzzles for practice. Robin goes over dynamic programming, both top-down and bottom-up, and gives you problems to practice both theory and implementation. Plus, he introduces and explains hash tables and how you can use them to solve problems in Python.

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Python

Algorithms

Robin Andrews

Instructor's Courses

Python programming and Computer Science instructor at Compucademy.

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