Getting around obfuscated code: Sara Chipps interviewed at Fluent 2012

About this video

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

Sara Chipps on getting around obfuscated code teaches debugging and reverse-engineering techniques for understanding minimized or encrypted JavaScript. It covers concrete analysis methods.

A 4-minute video from O'Reilly: “Getting around obfuscated code: Sara Chipps interviewed at Fluent 2012”.

Programming & CS Skills

Video by O'Reilly, played through YouTube's embedded player.

Making Badass Developers - Kathy Sierra (Serious Pony) keynote O'ReillyProgramming & CS

379K views

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

Velocity 2012: Richard Cook, "How Complex Systems Fail"O'ReillyEngineering

Advanced60.1K 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

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

Intro4.41M views

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

Intro11.6M views

24:26

The Beauty of Bézier Curves Freya HolmérProgramming & CS

2.23M views

How to Speak MIT OpenCourseWareSkills

23.5M views

2:27:41

CS50x 2024 - Lecture 1 - C CS50Programming & CS

Intro1.41M views

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

65.7K views

Making Badass Developers - Kathy Sierra (Serious Pony) keynote

O'Reilly

379K views

Kathy Sierra on the metaskill of getting good fast: how perceptual learning, exposure to high-quality examples and practice design build expertise.

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.

Velocity 2012: Richard Cook, "How Complex Systems Fail"

O'Reilly

Advanced60.1K views

Richard Cook walks through 'How Complex Systems Fail': latent failures, hindsight bias and why safety comes from people adapting.

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'.

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.

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.

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.

How to Speak

MIT OpenCourseWare

23.5M views

Patrick Winston's MIT lecture on how to speak: openings, structure, slides and closings.

2:27:41

CS50x 2024 - Lecture 1 - C

CS50

Intro1.41M views

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

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.