Rails Flavored Ruby by Michael Hartl

Why it's on BrighterTube

Hand-picked by a BrighterTube curator · found via round-3 back catalogue of a channel Lumen picks video by video · 82% confidence

Covers idiomatic Ruby patterns within Rails development. Michael Hartl teaches Ruby language conventions and best practices.

What you'll learn

A 31-minute video from Confreaks: “Rails Flavored Ruby by Michael Hartl”.

Programming & CS Skills

Video by Confreaks, played through YouTube's embedded player.

Part of Rails Conf 2012

Lecture 6: Version Control (git) (2020)Missing SemesterProgramming & CS

752K views

How to Do 90% of What Plugins Do (With Just Vim)thoughtbotProgramming & CS

991K views

15:18

AlphaZero Crushed | DeepMind's AlphaZero Game Changer 6 | Stockfish 8 vs AlphaZero PowerPlayChessSkills

31.1K views

23:05

DeepMind's AlphaZero Game Changer 1 | AlphaZero vs Stockfish 8 PowerPlayChessSkills

65.6K views

15:53

Gardening and Artificial Intelligence Gardener ScottSkills

6.28K views

Ruby Conf 12 - Y Not- Adventures in Functional Programming by Jim Weirich ConfreaksProgramming & CS

65.7K views

RailsConf 2014 - All the Little Things by Sandi Metz ConfreaksProgramming & CS

190K views

But what is a neural network? | Deep learning chapter 1 3Blue1BrownScience & Math

Intro25.1M views

Let's build GPT: from scratch, in code, spelled out.Andrej KarpathyProgramming & CS

8.21M views

Transformers, the tech behind LLMs | Deep Learning Chapter 5 3Blue1BrownProgramming & CS

Intro11.6M views

The spelled-out intro to neural networks and backpropagation: building micrograd Andrej KarpathyProgramming & CS

Intro4.41M views

24:26

The Beauty of Bézier Curves Freya HolmérProgramming & CS

2.23M views

Lecture 6: Version Control (git) (2020)

Missing Semester

752K views

MIT's Missing Semester lecture on Git: the data model of blobs, trees, commits and references, then the commands built on it.

How to Do 90% of What Plugins Do (With Just Vim)

thoughtbot

991K views

Max Cantor shows how to get fuzzy file finding, tag jumping, autocomplete and build integration in Vim using only built-in features.

15:18

AlphaZero Crushed | DeepMind's AlphaZero Game Changer 6 | Stockfish 8 vs AlphaZero

PowerPlayChess

31.1K views

A 15-minute video from PowerPlayChess's catalogue; the title names its topic.

23:05

DeepMind's AlphaZero Game Changer 1 | AlphaZero vs Stockfish 8

PowerPlayChess

65.6K views

A 23-minute video from PowerPlayChess's catalogue; the title names its topic.

15:53

Gardening and Artificial Intelligence

Gardener Scott

6.28K views

A 16-minute video from Gardener Scott's catalogue; the title names its topic.

Ruby Conf 12 - Y Not- Adventures in Functional Programming by Jim Weirich

Confreaks

65.7K views

Jim Weirich derives the Y combinator live, step by step, using nothing but Ruby lambdas, and along the way teaches the refactorings of lambda calculus.

RailsConf 2014 - All the Little Things by Sandi Metz

Confreaks

190K views

Sandi Metz refactors the notorious Gilded Rose kata live, showing how small, disciplined steps and duplication-over-wrong-abstraction lead to clean object-oriented code.

But what is a neural network? | Deep learning chapter 1

3Blue1Brown

Intro25.1M views

Builds up what a neural network actually is — neurons as numbers, layers, weights and biases — using handwritten-digit recognition as the running example.

Let's build GPT: from scratch, in code, spelled out.

Andrej Karpathy

8.21M views

Building a GPT-style language model from scratch in code, following 'Attention Is All You Need'.

Transformers, the tech behind LLMs | Deep Learning Chapter 5

3Blue1Brown

Intro11.6M views

How transformer models (the 'T' in GPT) turn text into vectors and predict the next token, step by step.

The spelled-out intro to neural networks and backpropagation: building micrograd

Andrej Karpathy

Intro4.41M views

Building micrograd, a tiny autograd engine, to understand backpropagation completely.

24:26

The Beauty of Bézier Curves

Freya Holmér

2.23M views

Freya Holmér builds Bézier curves from linear interpolation up, covering de Casteljau's algorithm, derivatives, arc length and their use in games and graphics.