115 karma · joined April 19, 2016
Our website specifically covers ISRU, including a monthly newsletter and sporadic articles (including one published this morning about minimizing lunar dust kick-up when landing vehicles on the Moon).
[1] https://www.thespaceresource.com/news/2020/the-space-resourc...
I was about to start learning KiCad, but I think I'll explore this first.
> I would rather entertain and hope that people learned something than educate people and hope they were entertained.
This is a silly site based on the Rick and Morty clip of Rick turning himself into a pickle [1] (because ??? he could). The amusement comes from Rick revealing he is the pickle, so I turned that into a command line 'surprise'. When you type "flip-pickle" into the mock-terminal, an asciiart image of Rick the pickle is shown.
That's it... lol. A simple and silly project. I considered making it more of a text adventure, but honestly two days of dev time is more than enough for this app!
Plus I now know how to use a mock-terminal in React, so I learned something. :)
If you are interested in the tech, this is a single page app (SPA) built in ReactJS using the terminal-in-react [2] library. Deployed with docker-compose on my Hetzner server, utilizing Cloudflare. It has 4 sizes of asciiart for different screen sizes, so it works decently well on mobile and desktop. And the favicon! lol.
But back to the serious work.
[1] https://www.adultswim.com/videos/rick-and-morty/its-pickle-r...
I basically live in my chair, so it was a solid investment.
Edit: I finally got my cluster up and running by removing all nodes, letting it process for a few minutes, then adding new nodes.
Instead of having a VLCC bringing crude to a Gulf Coast refinery where a large part is converted into propylene for bottle and cap production, the crude could be kept safely in its original well, unused. If the demand for propylene (et al) is reduced, refiners would alter their production to make less, ultimately lowering their crude intake, ceteris paribus.
Remote: Yes (3 years experience)
Willing to relocate: Yes
Technologies: Python, Postgres/Sqlite, Linux, Docker, AWS, Git, HTML, CSS, C++ (beg), Javascript (beg)
Resume: https://joshschertz.com/assets/documents/resume.pdf
Website: https://joshschertz.com
Github: https://github.com/camisatx
Email: joshschertz3 at gmail dot com
I'm currently working as a freelance programmer and tech consultant. Previously, I was a technical cofounder of an algorithmic stock trading firm, focusing on backend and general system logic.
Looking for a full time position.
Pandas on Ray is an early stage DataFrame library that wraps Pandas and transparently distributes the data and computation. The user does not need to know how many cores their system or cluster has, nor do they need to specify how to distribute the data. In fact, users can continue using their previous Pandas notebooks while experiencing a considerable speedup from Pandas on Ray, even on a single machine. Only a modification of the import statement is needed, as we demonstrate below. Once you’ve changed your import statement, you’re ready to use Pandas on Ray just like you would Pandas.
[1] https://motherboard.vice.com/en_us/article/d34bmk/iridium-ne...