HackerTube
HomeLongsLikedHistoryWatch laterCategoriesPlaylistsSettings

structural testing

2000s×Play all on YouTube

Upload date

Past year2020s2010s2000s

Type

TalkLectureExplainerTutorialDocumentaryInterviewDemoCommentaryComedyMusic

Duration

Under 4 minutes4-20 minutes20-60 minutesOver 1 hour

Features

Hidden gemsEvergreen only

Sort by

RelevanceRecently recommendedUpload dateOldest firstView countLike ratioMost recommended
"The Clean Code Talks  -- Inheritance, Polymorphism, & Testing"38:25

"The Clean Code Talks -- Inheritance, Polymorphism, & Testing"

438K views • 17 years ago
Google TechTalks
Misko Hevery's Clean Code Talk shows how to use object-oriented techniques such as polymorphism to remove repeated if and switch statements. The result is code that is easier to test, understand and maintain.
Taipei 101 Damper movement on 12 May 082:16

Taipei 101 Damper movement on 12 May 08

1.2M views • 18 years ago
phuaalvin
Tourist footage of the 660-ton tuned mass damper in Taipei 101 swaying during tremors from the 2008 Sichuan earthquake. The damper hangs from the 92nd floor.
What happens when the CPU cooler is removed?2:18

What happens when the CPU cooler is removed?

388K views • 19 years ago
AdDiCt Zorz
A short 2001 Tom's Hardware clip that runs Quake 3 on several popular CPU and motherboard combinations of the era, then removes the CPU cooler to see which chips survive. It shows how different processors handle losing their heatsink or fan.
Google Developers Day US - Python Design Patterns44:03

Google Developers Day US - Python Design Patterns

90K views • 19 years ago
GoogleDeveloperDay
Alex Martelli's Google Developers Day talk on classic design patterns (creational, structural and behavioral) and how they appear in Python. He stresses that patterns must be studied in the context of the implementing language.
Dance p 3 Mar099:36

Dance p 3 Mar09

83K views • 17 years ago
Geoff Cumming
Geoff Cumming uses a simulation to show how wildly the p value varies from one replication to the next because of sampling variability. He argues for estimation and confidence intervals over null hypothesis significance testing.