Live Stream #92: Minesweeper
In this live episode, I code the classic video game Minesweeper in JavaScript using the p5.js library. I also answer viewer submitted questions.
Edited video from this live stream coming soon!
38:02 - Coding Challenge: Minesweeper
1:32:45 - Conclusion/Q&A
1:57:58 - Recording intro to Coding Challenge
Support this channel on Patreon: https://patreon.com/codingtrain
To buy Coding Train merchandise: https://www.designbyhumans.com/shop/codingtrain/
To Support the Processing Foundation: https://processingfoundation.org/support
Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics
Contact:
Twitter: https://twitter.com/shiffman
The Coding Train website: http://thecodingtrain.com/
Links discussed in this video:
The Nature of Code Part 2 (Spring 2017) - Intelligence and Learning: https://github.com/shiffman/NOC-S17-2-Intelligence-Learning
K - Nearest Neighbor Remix: https://soundcloud.com/thirdculturerecords/k-nearest-neighbor-remix
Perlin Noise Song: https://soundcloud.com/fl00per/perlin-noise
The Coding Train subreddit: https://www.reddit.com/r/codingtrain/
Minesweeper on Wikipedia: https://en.wikipedia.org/wiki/Minesweeper_(video_game)
Minesweeper suggestion on GitHub: https://github.com/CodingTrain/Rainbow-Topics/issues/164
GitHub's Student Developer Pack: https://education.github.com/pack
Glitch: https://glitch.com/
Fog Creek: http://www.fogcreek.com/
Jenn Schiffer on Twitter: https://twitter.com/jennschiffer
Flood fill on Wikipedia: https://en.wikipedia.org/wiki/Flood_fill
ITP Spring Show 2017: https://itp.nyu.edu/shows/spring2017/category/projects/
Mike Bostock's Visualizing Algorithms: https://bost.ocks.org/mike/algorithms/
Simple p5 Neural Network on GitHub: https://github.com/shiffman/Neural-Network-p5
Videos discussed in this live stream:
Hosting p5.js Sketches with GitHub Pages: https://www.youtube.com/watch?v=8HPYsDTk17A
2D Arrays in JavaScript: https://www.youtube.com/watch?v=OTNpiLUSiB4
Prototypes in JavaScript: https://www.youtube.com/watch?v=hS_WqkyUah8
Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code
p5.js: https://p5js.org/
Processing: https://processing.org
For an Introduction to Programming: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA
For my Nature of Code videos: https://www.youtube.com/watch?v=6vX8wT1G798&list=PLRqwX-V7Uu6YVljJvFRCyRM6mmF5wMPeE&index=1
For More Live Streams: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6bxnFR6no70vlxxuxDEzflz
For More Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
Help us caption & translate this video!
http://amara.org/v/72nm/
📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct
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Other Statistics
Minesweeper Statistics For The Coding Train
At present, The Coding Train has 523,892 views spread across 2 videos for Minesweeper, and about 2 hours worth of Minesweeper videos were uploaded to his channel. This is less than 0.29% of the total video content that The Coding Train has uploaded to YouTube.