Heroku makes it effortless to deploy our web apps when we're just getting started, but anyone who's scaled an app on Heroku knows that there are still lots of decisions to make. Topping the list are "which dyno type should I use?" and "how many dynos do I need?"
Do we have aby indication that that's true? They are trying (and apparently succeeded) to sell something that's quite obviously fake. Whatever else they claim should be viewed in the light of that lie.
In Ts & Cs dated May 2024, both StarNow and Backstage (who StarNow own) [0] claim:
"[...] without any credit or compensation to you, a royalty-free, non-exclusive, worldwide, perpetual, unrestricted, irrevocable, and fully transferable, assignable and sub-licensable license to host, use, modify, display, copy, reproduce, disclose, sell, translate, create derivative works of, distribute, and export any User Provided Content, in whole or in part, or to incorporate it in other works in any form, media, software or technology of any kind now known or hereafter developed or discovered for any purposes whatsoever."
Not the usual "in order to provide the service" boilerplate at all.
I imagine they have a valuable data set for AI training?
You can do all that, when you develop without online Editor. In that regard, there is no difference between PlayCanvas, BabylonJS or ThreeJS. You can pick the one you are more familiar with.
Look up making Rochelle's salt, it's relatively straightforward to carry out in a kitchen using essentially the same equipment outlined in this article.
Does anyone else notice that quanta consistently has good illustrations and diagrams for their articles? Good visualizations and graphics can do extraordinary things for the understandability of a topic -- people like 3Blue1Brown understand this, and I'm glad quanta puts effort into it.
What has worked best for me is to disregard d3 attr. Attr made sense a long time ago but now if using a framework it is just so much easier to work with SVG elements directly instead of so many attr just for svg attributes.
You still end up finding a million ways to use the d3 library even if you never use attr at all.
That is exactly it. A big part of the mental model is understanding the concept of tidy data from Hadley Wickham too.
I could not understand some of the design choices until I understood tidy data and not being much into R, I never ran across the idea previously.
Mike Bostock is so brilliant and has put in such an immense amount of work into d3 that if you even start trying to build your own data visualization javascript library you will end up leveraging d3 at some point as to not reinvent the wheel.
For now I prefer to just stick to Google Authentication as that is really secure and avoids me the "pain" of having to deal with password (which I value a lot).
Contact us to opt out. If you want to exclude your Customer Data from Slack global models, you can opt out. To opt out, please have your Org or Workspace Owners or Primary Owner contact our Customer Experience team at feedback@slack.com with your Workspace/Org URL and the subject line “Slack Global model opt-out request.” We will process your request and respond once the opt out has been completed.
Some progress in Europe yes but the harms are still far from getting enough attention and policy responses. One problem is that there's so little organized effort against noise pollution, there's need for a movement with grass root organizations that puts sustained pressure on this issue.
Can we organize some sort of boycott somehow somewhere? Something in court possible?
This is not just some analytics data or email names, this is potential leakage of secrets and private conversations for thousands of companies and millions of individuals.
The article seems to mix storage capacity and instantaneous power. Lithium batteries tend to be able to discharge their stored energy in perhaps 1 to 4 hours (for instance the Tesla Megapack is between 2 and 3 hours to discharge).
Yes batteries are great at flattening the evening peak, when prices presumably spike upwards. That appears to be a good use-case, cycled once a day. Eyeballing the second graph there appears to be around 25 GWh of storage participating on that day, which makes is last equal in terms of energy delivered grouped by type (excepting coal which does not appear to have a line on the graph despite being on the key).
Dynamic data type is a data type format option by which we can show the values generated by the measure into two or more different data types dynamically.
