Python for Algorithmic Thinking: Problem-Solving Skills

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Robin Andrews

1:14:29

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01 - Introduction

01 - Importance of algorithmic thinking.mp4

00:51

02 - What you should know.mp4

00:15

02 - 1. Warm Up

01 - Challenge 100 doors.mp4

04:44

02 - Solution 100 doors.mp4

00:51

03 - FizzBuzz.mp4

04:02

03 - 2. Tools to Help Understand the Flow of Algorithms

01 - Tracing algorithms using an online visualization tool.mp4

02:54

02 - Tracing algorithms using code or a debugger.mp4

03:14

03 - Algorithm animations.mp4

01:47

04 - Pseudocode.mp4

02:29

05 - Using a whiteboard to explore algorithms.mp4

03:19

04 - 3. Brute Force Algorithms

01 - Introduction to brute force algorithms.mp4

02:41

02 - Linear search.mp4

02:35

03 - Selection Sort introduction.mp4

03:43

04 - Challenge Selection Sort in Python.mp4

01:26

05 - Solution Selection Sort in Python.mp4

01:55

05 - 4. Analysis of Time-Space Complexity

01 - Introduction to analysis of time-space complexity.mp4

06:37

02 - Challenge Big-O notation practice.mp4

00:22

03 - Solution Big-O notation practice.mp4

00:50

04 - Examples of time complexity with Python.mp4

01:53

05 - Memory considerations when implementing algorithms.mp4

01:54

06 - 5. Greedy Algorithms

01 - Introduction to greedy algorithms.mp4

00:40

02 - Introduction to the change making problem.mp4

01:31

03 - Solution to the change making problem.mp4

02:41

04 - Dijkstras algorithm.mp4

04:23

05 - Challenge Dijkstras algorithm.mp4

00:36

06 - Solution Dijkstras algorithm.mp4

03:27

07 - Dijkstras algorithm Python implementation.mp4

02:25

07 - 6. Decrease and Conquer

01 - Ferrying soldiers.mp4

02:36

02 - Introduction to decrease and conquer.mp4

01:18

03 - Binary search.mp4

03:18

04 - Challenge Binary search.mp4

00:37

05 - Solution Binary search.mp4

01:48

08 - Conclusion

01 - Exploring algorithmic thinking with Python.mp4

00:47

Description

The word “algorithm,” at one time the sole province of mathematics and computer science, has entered the modern vernacular because, for better or worse, algorithms have never been more important or more impactful in daily life. If you’re a developer, you need to be familiar with a wide range of algorithmic thinking in order to be able to solve new problems as they present themselves. If you’re already familiar with Python, becoming more versed in algorithmic thinking is a great way to increase your value as a developer. In this course, Robin Andrews explains how Python, because of its clarity and expressiveness, is the ideal tool for exploring algorithmic thinking. He shows you tools to help you understand the flow of algorithms, explains the brute force approach to solving algorithms, details the concepts of time and space complexity with regard to algorithm analysis, the decrease and conquer strategy, and much more.

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Python

Algorithms

Robin Andrews

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Python programming and Computer Science instructor at Compucademy.

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