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1:25Hazard perception test 2026: official DVSA guide
2.7M views • 11 years ago
Driver and Vehicle Standards Agency
The UK DVSA's one-minute guide to the hazard perception part of the driving theory test, covering when to click and how to score well.
15:04I made a NES emulator in 15 minutes
389K views • 14 years ago
Bisqwit
Bisqwit writes a NES emulator in C++ in about 15 minutes of tool-assisted, sped-up coding, narrated with captions. It shows an accurate emulator built with a compile-time generated 6502 instruction table. Part 2 covers compiling and running it.
Topic match · Software practice, open source & careers
16:42i3wm: Jump Start (1/3)
1.1M views • 11 years ago
Alex Booker
First of a three-part tutorial series on the i3 tiling window manager for Linux. It explains what i3 is, how to install it on Ubuntu, and how to use it.
Topic match · Linux & open-source ecosystems
2:12:42Build Your Own Async
60K views • 7 years ago
David Beazley
David Beazley's workshop screencast builds asynchronous programming in Python from scratch, starting from callbacks and continuations and replacing threads to show how concurrency works underneath.
Topic match · Software practice, open source & careers
2:35:53Tensorflow and deep learning - without a PhD by Martin Görner
610K views • 9 years ago
Devoxx
Martin Gorner's Devoxx talk introduces deep learning with TensorFlow, walking through neural networks for MNIST, how to choose an architecture and how to diagnose networks that fail to train.
Topic match · Machine learning & deep learning
6:53Hello World - Machine Learning Recipes #1
2.7M views • 10 years ago
Google for Developers
The first episode of Google's Machine Learning Recipes series. It introduces machine learning and builds a first supervised-learning classifier in about six lines of Python using scikit-learn.
Topic match · Machine learning & deep learning
3:07Neural Networks Demystified [Part 1: Data and Architecture]
838K views • 12 years ago
Welch Labs
The first of a short series by Welch Labs on building a complete neural network in Python. It introduces the data and the architecture of a simple network before later parts cover forward propagation, gradient descent, and backpropagation.
Topic match · Machine learning & deep learning
10:50:05George Hotz | Programming | Livecoding SLAM | twitchslam | Part1
2M views • 8 years ago
george hotz archive
A long livestream of George Hotz live-coding a toy SLAM implementation, twitchslam, over two days in May 2018. It is an unedited session of Python programming with computer vision and visualization.
Topic match · Computer vision, speech & NLP
10:08Wim Hof breathing tutorial by Wim Hof
13.2M views • 8 years ago
Wim Hof
Wim Hof guides viewers step by step through his breathing method, with some explanation of the science he cites behind it. It stresses learning from the source and avoiding unsafe settings.
3:03:54The Why, What, and How of Pinning in Rust
87K views • 7 years ago
Jon Gjengset
Jon Gjengset's long live-coding stream explains Rust's Pin and Unpin types: why they exist, how they work, and how they connect to futures and async/await. It also covers moving from pre-pinning code to the new model.
24:02Learn to Paint with Mathematics
191K views • 12 years ago
Inigo Quilez
Inigo Quilez live-codes a painting using only mathematics in a shader, building it up step by step. The linked Shadertoy source shows the result.
27:58Build an electroluminescent glass panel display -- an Apollo DSKY
522K views • 7 years ago
Applied Science
Applied Science builds a replica Apollo DSKY using an electroluminescent driver circuit and screen-printed conductive ink, with source and PCB files published.