#211: Classic CS problems in Python

1

Introduction

00:00 • 2min

2

You're Coming From Java to Python

02:09 • 2min

3

What Makes a Computer Science Problem Classic?

04:26 • 2min

4

Is There a Difference Between Beginners and Experts?

06:19 • 3min

5

Should Everyone Really Understand These Problem Solving Techniques?

09:04 • 3min

6

Typents in Python

12:10 • 3min

7

Type Entri, Future Annotation, Is That Really Cool?

14:53 • 3min

8

Talk Python - The New Versions of Python

17:30 • 4min

9

Python Code - Should This Be an Optional?

21:01 • 3min

10

Recursive Data Structures

23:46 • 4min

11

Python Standard Library

27:16 • 2min

12

Using Python to Solve Python Codeslaan Problems

29:38 • 2min

13

Is There a Better Way to Store Strings?

31:48 • 2min

14

The Towers of Hano - How to Move a Single Disk

33:32 • 2min

15

Coding Interviews - Maze Traversal

35:16 • 2min

16

How to Traverse a Maze Using a Priority Cue

37:12 • 3min

17

Using Azure Extensions for Visual Studio Code

39:59 • 2min

18

The Constraint Satisfaction Problem

41:55 • 2min

19

What Is the Constraint Satisfaction Problem?

44:19 • 2min

20

How Do You Solve Constraint Satisfaction Problems?

46:08 • 2min

21

The Common Technique for Solving Non-Obvious Problems

48:08 • 2min

22

The Hyper Loop and Some Interesting Things You Might Consider, Right?

50:22 • 2min

23

Programming Tick Tack To

51:56 • 3min

24

Using Genetic Algorithms to Solve a Problem

54:59 • 2min

25

Genetic Algorithms and Neural Networks

57:15 • 2min

26

Graph Problems - Which One Is Your Favorite?

59:27 • 2min

27

Choosing the Right Data Structure

01:01:02 • 2min

28

How to Get the Full Story of Algorithms and Data Structures

01:03:16 • 3min

29

Psychi Learn - What Editor Should You Be Using?

01:05:49 • 3min