daleroberts

At my university we use Moodle and that lets me setup a page where students can schedule one-on-one appointments with me (during office hours). When a student books a time, Moodle sends me an email with the details.

I use a rule and an Applescript to scrape the details from the email and put the booking into my calendar.

Here is my implementation in python of the Poisson equation on an arbitrary 2D domain using the finite element method. I used this for teaching a course in partial differential equations:

https://github.com/daleroberts/poisson

Something similar in Python: https://github.com/daleroberts/tv

You can take the concept even further. I made this about 4 years ago now: https://github.com/daleroberts/tv

Also useful is a Quant finance cheat sheet if you are going to sit an exam:

https://github.com/daleroberts/math-finance-cheat-sheet

This has been done in the Python ecosystem with matplotlib:

https://github.com/daleroberts/itermplot

Thanks, that was cool hearing about your use of itermplot :-)

https://github.com/daleroberts/itermplot

For Matplotlib, checkout this: https://github.com/daleroberts/itermplot

You can get even better rendering quality if you are willing to use Unicode 9.0 characters: https://github.com/daleroberts/tv

Cool, nice to see that Tor was a student at ANU.

If you have iTerm2, you might like:

https://github.com/daleroberts/bv

https://github.com/daleroberts/itermplot

Or this one: https://github.com/daleroberts/tv

If you like this project then you might like these ones.

Image visualisation in terminal using Unicode 9 and True Color:

https://github.com/daleroberts/tv

Image visualisation for iTerm2:

https://github.com/daleroberts/bv

Matplotlib graphics and animation in iTerm2:

https://github.com/daleroberts/itermplot

A simple lookup table also works well.

Here I use Unicode 9.0 and True Color support to render images as text using Python: https://github.com/daleroberts/tv

Practicing to make kids == sheer joy?

What I've heard from people installing solar at home is that even though you install solar and a battery, you are not allowed to disconnect from the network unless you are a rural property.

can anyone confirm this?

This is fasinating topic, I recently tried to understand what happens to this type of model if you perturb it with heavy-tailed noise.

http://www.sciencedirect.com/science/article/pii/S0378437116...

VIIRS DNB Nightly Mosaics can be found here:

https://ngdc.noaa.gov/eog/download.html

The Visible Infrared Imaging Radiometer Suite Day-Night Band (VIIRS DNB) images the entire Earth nightly at a resolution of about 750 meters. Suomi NPP orbits the Earth 14 times per day on a 16-day repeat cycle. The average time at which images are taken is near 01:30 in local solar time, but can vary by over an hour depending on latitude and the particular cycle.

This is exactly what I was hinting at: IEEE journals (TGRS, etc.) are filled with deep learning and machine learning on satellite imagery papers.

They are more tech focused journals and have less impact.

If we used deep learning then we probably wouldn't have got into the journal 'Remote Sensing of Environment'

To get into top journals it is really about simple method + novel idea + good story.

The same holds for top Finance journals like 'Journal of Finance', etc.

Only a cheap trick, but a useful one :-)

Even cooler is when you take landsat-util and visualise results directly in your terminal, see here:

https://github.com/daleroberts/tv

Still no true color support? :-(

Hello from ANU! I've actually been collaborating on a number of projects with GA the last couple of years :-)

Really nice article, my mind is always blown by all the cool shit we keep on learning about our Earth.

And then the article became all the more sweeter when I realised that it all this work was done by people I know at Geoscience Australia. Very cool.