Julien Cayzac jcayzac

Using Blender with Miniconda

If you want to play with Blender scripting but the Python packages it ships with aren't enough, you can replace its built-in Python with your own. Here I give you some instructions to swap in a miniconda-managed environment.

These instructions apply for macOS. YMMV.

1. Install Blender

# If you don't like Homebrew you can just get it from https://www.blender.org/download/

Loading a remote SVX into a route

The process identifier (a.k.a. process ID or PID) is a number used by most operating system kernels, such as those of Unix, macOS and Windows, to uniquely identify an active process.

In Unix-like operating systems, PID 1 is usually the init[^init-name] process spawned by the kernel and responsible for starting and shutting down the rest of the system.

A process can create child processes using the fork system call. At any arbitrary time, this means processes can be represented by a tree structure. For example:

─┬─ PID 1 (init)
 ├─┬─ PID 2
 │ └─┬─ PID 4

│ └─── PID 7

Companies with work-from-home policies

Basecamp
DataStax
DuckDuckGo
Etsy
Facebook
GitHub
GitLab
Moneytree 🇯🇵

This is a test¹.

A footnote. ↩

Login Keychain & Filevault Emergency Recovery

Login as startupuser, then:

Fixing The Login Keychain

sudo bash
su - $MY_USERNAME
security set-keychain-password /Users/$MY_USERNAME/Library/Keychains/login.keychain-db

react+ts+vite+pnpm

pnpm init @vitejs/app app -- --template react-ts
cd app
pnpm install
git init && git add -A && git commit -m "initial commit"
#pnpm run build
pnpm run dev

	/**
	* Implements buy-and-hold rebalancing by splitting some cash inflow into the
	* most meaningful contributions:
	*
	* The buckets whose valuations have fallen the most behind their target weight
	* are contributed to first. Then, contributions to the buckets with the largest
	* inflow from the previous step are prioritized, as to minimize the number of
	* transactions and thus transaction fees.
	*
	* @param values Range with the current valuation of the portfolio's constituents.

	import chalk from 'chalk'
	import ora from 'ora'
	import process from 'node:process'

	const success = chalk.green.bold(`OK`)
	const failure = chalk.red.bold(`FAILED`)
	const excludeStackFragment = `(${new URL(import.meta.url).pathname}:`

	type TestBlock = (params: { test: TestFunction }) => unknown
	type TestFunction = (description: string, body: TestBlock) => void

	// Based on Da, Gurun and Warachka's 2014 paper:
	// "Frog in the Pan: Continuous Information and Momentum"
	// PDF: https://www3.nd.edu/~zda/Frog.pdf

	//@version=5
	indicator("Information Discreteness", overlay=false, precision=1, timeframe="D")

	LENGTH = input.int(title="Window Length", defval=365, minval=7)
	SKIP_RECENT = input.int(title="Skip most recent", defval=30, minval=0)
	MA_LENGTH = input.int(title="Average returns over", defval=7, minval=1)