A plugin to make authoring with MUI components efficient, both for humans and bundlers.
| <div style="position:absolute;top:-999px;left:-999px"> | |
| <svg | |
| id="effectSvg" | |
| width="200" | |
| height="200" | |
| viewBox="0 0 200 200" | |
| xmlns="http://www.w3.org/2000/svg"> | |
| <filter id="displacementFilter4"> |
| const en = { | |
| titles: { | |
| default: `What's on your mind?`, | |
| idea: `Share an idea`, | |
| issue: `Report an issue`, | |
| other: `Tell us anything!`, | |
| }, | |
| categories: { | |
| idea: `Idea`, | |
| issue: `Issue`, |
| ## This script works specifically with Boss GT-100 | |
| ## The same principle can be used for any MIDI controller. | |
| aseqdump -p "GT-100" | \ | |
| while IFS=" ," read src ev1 ev2 ch label1 data1 label2 data2 rest; do | |
| case "$data1 $data2" in | |
| "80 127" ) xdotool key Down ;; | |
| "81 127" ) xdotool key Up ;; | |
| esac | |
| if [[ "$data1" == "7" ]]; then |
Python virtual environment management can be tricky, but it's essential for isolating dependencies.
You have several options for virtual environment managers. We provide instructions for uv, venv, and conda below.
uv is relatively new, but it's the fastest and becoming very popular. If you don't already have a Python virtual environment manager, we suggest using it.
| # how to run this thingy | |
| # create a file on your mac called setup.sh | |
| # run it from terminal with: sh setup.sh | |
| # heavily inspired by https://twitter.com/damcclean | |
| # https://github.com/damcclean/dotfiles/blob/master/install.sh | |
| # faster dock hiding/showing (run in terminal) | |
| # defaults write com.apple.dock autohide-delay -float 0; defaults write com.apple.dock autohide-time-modifier -int 0;killall Dock |
- A recent version of Node.js
npm install -g create-react-app
You'll need a recent version of Node.js installed on your computer with administrative access. Yarn is not required, but Electron Forge uses it, so it would be helpful to install beforehand.
Please make sure you're using a supported platform. This is particularly important if you're running Linux.
Important note: If you're using Windows, make sure you're not using the Windows Subsystem for Linux. This will confuse Electron to thinking you're running on a Linux machine when you're really not.
We'll be using working through the following repositories over the course of the workshop:
This is an incomplete, ever-changing curated list of content to assist people into the worlds of Data Science and Machine Learning. If you have a recommendation for something to add, please let me know. If something isn't here, it doesn't mean I don't recommend it, I just may not have had a chance to review it yet or not.
I will generally list things in order of easier to more formal/challenging content.
It may feel like there is an overwhelming amount of stuff for you to learn (because there is). But, there is a guided path that will get you there in time. You need to focus on Linear Algebra, Calculus, Statistics and probably Python (or R). Your best bet is to get a Safari Books Online account (https://www.safaribooksonline.com) which you may already have access to through school or work. If not, it is a reasonable way to get access to a tremendous number of books and videos.
I'm not saying you will get what you need out of everything here, but I have read/watched at least some of all of the following an