I had to step away from using electron because I encountered segfaults like `Received signal 11 SEGV_MAPERR 000000000060` just on visiting cnn.com and clicking one of their nav links (without much going on otherwise, which I found kinda crazy).
Electron also only recently added support for PDFs, and it's still a little buggy. I was able to get around most of these with pdf.js.
I ended up using a combination of chrome extension for injecting stuff into webpage + rpc to a local node.js server running inside an electron app (for convenience). I only made this for personal use, so I'm ok with <arbitrary_caveat>s.
Js_of_ocaml [1] is a good alternative to BuckleScript for standard OCaml (non-Reason).
For example, it works well with Core_kernel [2] and Async_kernel [3] to provide high-level functionality that is cross compatible between Unix applications and browser applications.
Didn't realize this system used a CVT-like system to generate electicity. I've generally been curious how this system seems to be significantly more complex yet more reliable than many modern internal combustion engine drivetrains. (My personal perception, haven't done much research to look it up).
I also wonder why Apple allows some apps to accept payments via credit card yet others need to use the built in payment solutions?
EDIT: some research later indicates that it's possible allowing a user to sign up outside the app (and outside a webview initiated by the app) skirts around the policy [1], since the user can return to the app and log in, then use their account for payments.
How does it work? Searching for book store (https://www.closient.com/?q=book_store the underscore was autocompleted) gave me results that were 1200+ km away from my current location. Other queries did the same.
I work on Google Search. Having one search engine per country doesn't seem like the correct approach to the problem.
> Every country has a mammoth collection of valid results for your query.
Having seen the corpus of content available from each language, this is categorically false. Consider Wikipedia, which is a fairly ubiquitous information source on the web that provides answers to tons of searches. English documents: 5.4M, Romanian documents: 376k.
Perhaps the solution to the OP's woes is more tools for filtering. This post conflates the ideas between language and country. Search typically returns to you results and search features that are in the query language. Today's solution where filtering is done through query refinement and query operators seems to cover a lot of use cases already.
Further, by having an integrated product, ML models can learn behaviors specific to certain locales where those behaviors differ from region to region, and balance with more universal behaviors that apply to more than one region.
Location: Minneapolis, Minnesota
Remote: Yes.
Willing to relocate: No.
Technologies: Python, Node.js, Meteor, HTML5/CSS3/JS (lots of past frontend work
with SCSS, Rails, Flask, PostgreSQL, MySQL, Mongo).
Some Scala, Java, and Go as well.
Résumé/CV: https://wheat.co
Email: [email protected]
> you believe you'll be able to create more value for yourself by doing something else rather than seeing it through with a startup.
Just pointing out that there are other reasons to leave aside from rational economic thought about this individual's expected ability to produce higher output elsewhere. They may dislike the team, pivoted idea, or leadership decisions. But they may also want to keep hold of the equity in case it gets big (or they can sell it or a liquidity event occurs).
It's also about a lot more than ride sharing. These companies are hoping to turn their LaaS (labor) into self-driving car fleets as soon as possible. A lot of that money is going to be poured into research.
Actually, I think that's incorrect. I'd say that the median person who knows how to drive is better off than the median person without that skill. Certainly the best person who doesn't know how to drive is better off than the worst person who can drive, and it probably has nothing to do with driving ability.
To get this straight, when they indicate 96% utilization of the uranium, they don't mean converting 96% of the total energy to electricity, as it is assumed that some will be lost along the way, right?
If the above statement is true, what happens to the remaining 4% of the energy in the uranium? Is it just not effective to have it in the molten salt, so the entire batch is replaced? Or does this happen 'on the fly' so to speak?
Some day I may turn this into a chrome extension to highlight limericks on arbitrary pages. It would be joyous to see a highlighted section of some random wikipedia page pop out to be a limerick!
I'm a junior at Carleton, #2 on the list. It's interesting to see these rankings come out since I have been under the impression that our graduates don't enter STEM fields through normal channels. Until recently, our CS department didn't have very many majors, and many of the graduates majored in liberal arts areas. These folks found their way into big tech and financial companies or ended up starting their own businesses several years after graduation.
Talking to alumni, I've always heard this is because of the ability to learn how to communicate here, but I think the difficult course load contributes a lot to character throughout 4 years here. I'd be interested to hear how this compares to other institutions.
The additional stats on the Brookings.edu page [1] were interesting as well.
This is actually pretty neat. As someone who has worked on many wordpress sites for a long time, having faster everything would be amazing.
The product looks very polished and I hope to see it grow and develop a large community. That would make it a real WP competitor since the main reason WP is so powerful now is because of all the themes, documentation, and plugins.