classic mac

The first episode of Google's Machine Learning Recipes series. It introduces machine learning and builds a first supervised-learning classifier in about six lines of Python using scikit-learn.

The first stream in the Emacs From Scratch series, building a custom Emacs configuration from zero while teaching basics. It covers a usable baseline setup and the packages for completion, themes and productivity.

A short first episode in Zaiste's Doom Emacs series, showing how to get started with Doom, an Emacs configuration aimed at Vim users. It presents Doom as a polished, fast, batteries-included distribution.

The first episode of Mike Zamansky's Using Emacs series, covering setting up the package manager for new Emacs users as a start toward customization and efficient editing.

Mitchell Hashimoto walks through his setup for running a NixOS virtual machine on a Mac as his development environment, with a config repo on GitHub.

The first episode of Clickspring's series building a John Wilding skeleton clock from raw stock in a home machine shop. It covers making the frames along with the tools needed for the job.

A three-minute Emacs Rocks screencast by Magnar Sveen demonstrating paredit, which edits Lisp code structurally as a tree of s-expressions rather than characters.

Harry Schwartz gives a roughly hour-long tour of Emacs Org mode as an outliner, task manager, markup language and agenda tool. He demonstrates how he uses it for documents, presentations and todo lists.

Jim Pavloff rebuilds the Prodigy track Smack My Bitch Up in Ableton, identifying the samples used and recreating the track by hand.

Ben Eater writes a program in a made-up machine language and walks through the control logic an 8-bit breadboard CPU needs to execute it. It is part of his build-an-8-bit-computer series.

Marco Baringer's tutorial video on SLIME, the Emacs mode for developing Common Lisp. It demonstrates the interactive workflow of working against a live Lisp image.

Martin Gorner's Devoxx talk introduces deep learning with TensorFlow, walking through neural networks for MNIST, how to choose an architecture and how to diagnose networks that fail to train.

A long livestream of George Hotz live-coding a toy SLAM implementation, twitchslam, over two days in May 2018. It is an unedited session of Python programming with computer vision and visualization.

A reupload of Joel Spolsky's talk teaching spreadsheet users the Excel features they are probably missing, such as keyboard navigation, named ranges, tables and lookups. The original disappeared and this copy comes from the Wayback Machine.

The first of a short series by Welch Labs on building a complete neural network in Python. It introduces the data and the architecture of a simple network before later parts cover forward propagation, gradient descent, and backpropagation.

A 1953 US Navy training film on the basic mechanisms in fire control computers: shafts, gears, cams and differentials. It shows how these mechanical parts compute ship and target firing solutions.

James Trunk introduces Clojure syntax and thinking, covering its core data structures, immutability, the thread-last macro and live data analysis in the REPL.

David Beazley's workshop screencast builds asynchronous programming in Python from scratch, starting from callbacks and continuations and replacing threads to show how concurrency works underneath.

Jeri Ellsworth shows step by step how to make an NMOS transistor at home using a kiln, rust remover, spin-on dopant, eBay wafers and vinyl stickers.

Jacques Pepin makes a classic French omelette in a short uncut demonstration. The video contrasts it with the American style.

A 1993 Yoga Works video of the Ashtanga Yoga Primary Series led by Sri K. Pattabhi Jois, with senior students demonstrating. The class is filmed in classic style from the back of the room.