Philip Paeps - FreeBSD, Detangling and debugging

bsdconferences4.22K subscribers

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Picked one by one from a mixed channel; title passed two strict editor passes and the clickbait rules.

What you'll learn

A 19-minute video from bsdconferences: “Philip Paeps - FreeBSD, Detangling and debugging”.

Programming & CS

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

59:57

FreeBSD Kernel Internals, Dr. Marshall Kirk McKusick bsdconferencesProgramming & CS

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Kris Moore: Automating the deployment of FreeBSD & PC BSD systems (P3A, AsiaBSDCon 2013)bsdconferencesProgramming & 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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59:57

FreeBSD Kernel Internals, Dr. Marshall Kirk McKusick

bsdconferences

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A 60-minute video from bsdconferences: “FreeBSD Kernel Internals, Dr. Marshall Kirk McKusick”.

32:20

Kris Moore: Automating the deployment of FreeBSD & PC BSD systems (P3A, AsiaBSDCon 2013)

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Advanced

A 32-minute video from bsdconferences: “Kris Moore: Automating the deployment of FreeBSD & PC BSD systems (P3A, AsiaBSDCon 2013)”.

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.

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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'.

Transformers, the tech behind LLMs | Deep Learning Chapter 5

3Blue1Brown

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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.

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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

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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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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: how computers represent information, algorithms, and first programs in Scratch.

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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.