See also: scottandrecampbell.com
welcome to the process.
python 3.8 testing api
This is for getting the position of planets and stuff.
added infor to clone. sat-data: https://rhodesmill.org/skyfield/api-satellites.html#skyfield.sgp4lib.EarthSatellite
Earth/Diameter: 12,742 km Moon/Diameter: 3,474.8 km average distance 385 000 km inverse sine parallax 384 400 km Distance during perigee ~362 600 km (356 400 – 370 400 km) Distance during apogee ~405 400 km (404 000 – 406 700 km) https://planetariodevitoria.org/espaco/qual-e-a-distancia-media-da-terra-a-lua.html
this is data snacks
A 3d model of the CTIPE TOTAL ELECTRON CONTENT FORECAST by NOAA and the NWS
OPEN ctipe-model (https:scottandrecampbell.com/static/ctipe)
dataset from www.swpc.noaa.gov
here's a quote:
The plot illustrates the height integrated electron density (TECU, 1 TECU = 1.e16 electrons/square meter) also called Vertical Total Electron Content (VTEC), vs latitude (-90 to 90 deg) and longitude (0 - 360 deg) from the Coupled Thermosphere Ionosphere Plasmasphere Electrodynamics Model (CTIPe). CTIPe is a state of the art research tool used at the Space Weather Prediction Center to study thermosphere-ionosphere phenomena in order to develop nowcasting and forecasting algorithms for space weather. The objectives are to understand and quantify the importance of the upper-atmospheric mechanisms that affect human activities and to develop new monitoring and predicting techniques.
This model intends to show the "charge" in the ionosphere. Color values are exaggerated by the Y-axis in the model. The timeseries ends with now and starts 4 days ago at 10 minute intervals. To store the timeseries, a small python app was created ("ctipe" sourcecode at github) (currently on railway) and its api shares specific time requests to the app (node).
This required some pretty exhaustive mental notes. Familiarity with this dataset comes from experience: it was a key-component of the THREADING EXPOSITION.
shapefile to json
chintzy little python utility to convert shapefiles to json.
Shapely 1.8.1.post1 geopandas 0.10.2 numpy 1.23.1 pandas 1.3.5 Python 3.8
Download and unzip files from link below and place in folder named "sources". Create "output-pkl" folder for pickled geopandas dataframes (don't reload .shp files each time). Create "output-json" so that files are saved somewhere.
sac-py-geo/¬ output-json/ output-pkl/ sources/ .gitignore main.py readme.md requirements.txt
Source data is available at:
toolkit for three.js portable codebase
wedge: an incosahedral model for sperical projection
OPEN earth-model w/iss position (https:scottandrecampbell.com/static/space)
more information soon.
frontend componentry for three-sac node package
cnrs mio temporal wudi data modeling system
hello world // 👉️ START EVERYTHING HERE
wudi data model update utility
export GIT_SSH_COMMAND="ssh -i ~/.ssh/your-custom-private-key" /usr/local/bin/charm
2021 Dev for Plotter
2021 Dev for Plotter
A utility application to control grbl written in python.
Python 3.8 PyQt5 serial_asyncio
March 2020: Sensing I would be spending the foreseeable future locked in the studio, I set out to apply myself to a ‘complete’ project. I wanted to hybridize all of the disciplines I'm familiar with: computer science, physics, engineering, mathematics, design, and art. My studio became a laboratory. After four months (June), I had a working printer. To make it more interesting, I worked until now to make it function autonomously; observing information and relaying it visually over time.
Conceptually, the system explores input and output (I/O) as being shared by both the human creative process and the digital/mechanical process. The creative mind is driven by imagination, interpretation, emotion, and reaction. In turn it applies those forces to some kind of material. Similarly, a system is driven by matching raw input to a corresponding action. Both respond programmatically —either directly or in a more nuanced way— to a set of inputs and subsequently relay their findings.
The ‘input’ side of my creative process is informed by things that are really limited these days (e.g.: traveling or going outside). To accommodate that, I existed in a smaller scope; exploring ‘input/output’ in a synthetic and concrete way. ‘The system’ —a primitive analog— became a set of eyes, a set of information they look at, and a tiny mind full of its own rules used to interpret and convey what it sees.
pyqt5 svg file viewer
PyGame (py2.7) Game program design 2015-2016