DemoDays Deploying software with GitHub Actions

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

Demonstrates software deployment using GitHub Actions with live examples. Teaches CI/CD pipeline configuration and automation patterns.

What you'll learn

A 71-minute video from GitHub: “DemoDays Deploying software with GitHub Actions”.

Programming & CS

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

Linux Kernel Development, Greg Kroah-Hartman - Git Merge 2016 GitHubProgramming & CS

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CS50x 2024 - Lecture 0 - Scratch CS50Programming & CS

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CS50x 2024 - Lecture 1 - C CS50Programming & CS

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

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“Hello, world” from scratch on a 6502 — Part 1 Ben EaterProgramming & CS

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

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Linux Kernel Development, Greg Kroah-Hartman - Git Merge 2016

GitHub

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Greg Kroah-Hartman explains how Linux kernel development scales: release cadence, maintainers, email patches and git.

2:38

A beginner's guide to Copilot CLI slash commands

GitHub

Intro

A 3-minute video from GitHub: “A beginner's guide to Copilot CLI slash commands”.

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

3Blue1Brown

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

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Andrej Karpathy

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

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

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

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3Blue1Brown

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

24:26

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

2:04:55

CS50x 2024 - Lecture 0 - Scratch

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CS50x 2024 lecture 0: how computers represent information, algorithms, and first programs in Scratch.

2:27:41

CS50x 2024 - Lecture 1 - C

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CS50x 2024 lecture 1: an introduction to C — syntax, types, conditionals, loops and compiling.

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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.

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Building a computer around the 6502 processor on a breadboard and running 'Hello, world'.

RailsConf 2014 - All the Little Things by Sandi Metz

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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.