Algorithm Training 6.0 Opening Session. Lecture 1: Testing
00:00:00 Broadcast Start
02:10:00 Lecture Start
03:16:00 The Importance of Testing and Code Efficiency
04:15:00 Course Schedule and Structure
07:21:00 Bonuses and Certificates
11:10:00 Introduction to Testing and Problems
12:05:00 Algorithm Complexity
13:03:00 Estimating Algorithm Complexity
14:02:00 Algorithm Complexity Examples
16:27:00 How to Estimate Program Complexity
21:26:00 Testing and Performance
23:24:00 Why Testing Is Necessary
24:20:00 Testing Methods
27:37:00 Testing Algorithmic Problems
28:26:00 Test Examples
30:22:00 Testing Unusual Cases
32:43:00 Problems with Finding the Maximum
33:26:00 Testing Programs
34:27:00 Checking Loops and Branching
37:31:00 Example Problem with a Quadratic Equation
43:09:00 Linear Equation
44:59:00 Equation with Infinitely Many Solutions
46:00:00 Order of Roots
46:51:00 Testing and Errors
48:13:00 Regular Testing
51:04:00 How to Speed Up Testing
53:48:00 Test Automation
54:46:00 Solution Checking
55:46:00 Certificate Checking
01:00:12 Stress Testing
01:02:52 Preparing Tests for Tasks
01:05:00 Checking Correctness and Efficiency
01:05:56 Task Development Process
01:07:54 Test Limitations
01:10:18 Test Tasks
01:17:33 Using Standard Libraries Python
01:18:32 Training and Interview
What to do if the solution doesn't work? We'll learn how to generate tests manually and automatically, and we'll also write our own testing system.
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