Using node.js with Google Calendar API is very straight forward, this shows how quick it is. You'll need to use a command line interface (Terminal on a Mac), a text browser (i'm using Atom) and will need to download and install Node.js and NPM.
Get node.js here: https://nodejs.org/en/
Using perlin noise is a really interesting way to create wonderful natural effects. p5.js has plenty of examples of this, such as here:
https://p5js.org/examples/math-noise-wave.html
I'd also really recommend Daniel Shiffman's tutorials on the subject:
https://www.youtube.com/watch?v=Qf4dIN99e2w
This is easily done, you've zipped up your site to upload to a server and pushed to GitHub, you then get an error message like this:
remote: error: File Archive.zip is 214.15 MB; this exceeds GitHub's file size limit of 100.00 MB
...
! [remote rejected] master -> master (pre-receive hook declined)
error: failed to push some refs to ...
This helpful page from github has a solution. The steps are also below:
What if we could look at the sun with x-ray vision (contact x-ray plates on the Vulcan Target Area West vacuum chamber, 36 separate shots) is a collaborative artwork created with scientists at the Central Laser Facility in Oxfordshire, England. I was invited to be part of their experiment as an artist as well as an active scientific participant, their aim was to demonstrate the effectiveness of laser technology to see through layers of material using x-rays and neutron beams.
Adobe Media Encoder is a great way to render from After Effects and Premiere. The H.264 codec is used to render the video using presets.
A quick tutorial on integrating Google Cloud Vision with nodejs
See the links below for Google Cloud vision and the GitHub page for the nodejs api: https://cloud.google.com/vision/
https://github.com/googleapis/nodejs-vision
An updated version of my Leap Second artwork was exhibited as part of the Mozilla Festival 2018.
Using Image Classification from ml5js JavaScript library along with some p5js I made a simple tool to unlock a website - not exactly secure or practical, but fun.
Play with this demo here:
alistairmcclymont.com/experiments/lemon
This work was produced during the creation of this collaborative artwork between Alistair McClymont and John Fass:
alistairmcclymont.com
It works using Image Classification from the ml5js JavaScript machine learning framework.
A paper was published in the Institute of Physics journal, Plasma and Controlled Fusion titled Laser-driven x-ray and neutron source development for industrial applications of plasma accelerators. In this paper I am named as one of the authors:
