(17) Source to process (COP-3402 Spring 2025)

Why it's on BrighterTube

Intermediate · Editorial review · 85% confidence

Round-13 hunt: picked; source: named-course long-video search; channel screens (sellers/exam/re-upload/devotional/vendor/events), provenance check, vendor/seller/devotional recheck and quality tier B passed; strict per-title check + final strict pass; oEmbed verified.

What you'll learn

A 73-minute video from Paul Gazzillo: “(17) Source to process (COP-3402 Spring 2025)”.

Programming & CS

Video by Paul Gazzillo, played through YouTube's embedded player.

1:06:04

(11) Redirection (COP-3402 Fall 2025)Paul GazzilloProgramming & CS

Intermediate

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(13) Shells (COP-3402 Fall 2025)Paul GazzilloProgramming & CS

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The Beauty of Bézier Curves Freya HolmérProgramming & CS

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CS50x 2024 - Lecture 1 - C CS50Programming & 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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1:06:04

(11) Redirection (COP-3402 Fall 2025)

Paul Gazzillo

Intermediate

A 66-minute video from Paul Gazzillo: “(11) Redirection (COP-3402 Fall 2025)”.

1:09:14

(13) Shells (COP-3402 Fall 2025)

Paul Gazzillo

Intermediate

A 69-minute video from Paul Gazzillo: “(13) Shells (COP-3402 Fall 2025)”.

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

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

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.

2:27:41

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

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Confreaks

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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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CS50x 2024 - Lecture 0 - Scratch

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

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.