No. Doctors can have mostly normal 8-hour workdays, 5 times per week. Nurses administer drugs and monitor the patients. If a problem arise, they can call the doctor in charge of the patient or bring the doctor doing the night —or weekend— shift.
2,212 karma · joined July 9, 2012
No. Doctors can have mostly normal 8-hour workdays, 5 times per week. Nurses administer drugs and monitor the patients. If a problem arise, they can call the doctor in charge of the patient or bring the doctor doing the night —or weekend— shift.
Thus your software has to know what your display is capable of. It can use this information to show you which parts of the photograph you edit are not shown accurately.
This board seems to target people who want to create products with it. I wouldn't place a rasp pi in an end product and certainly wouldn't come near an orange pi even for a prototype.
The generator at the power company has 3 stators that are on equal distance between each other on a circle. As the rotor rotates, it induces AC voltage at each of them.
Because the rotor rotates at a stable speed, the AC voltage follows a sine function.
Because the stators are placed 2/3pi apart, their sine waves have a phase difference of 2/3pi.
Because 2/3pi+2/3pi+2/3pi=2pi, if you add them all together then you get 0 (sin[2pi]=0) and this is your neutral wire.
Quite honestly I learned that very late in the university which is a pity. Once you see how the real world translates to math, many things (like euler's formula which is of utmost importance for engineers) fall in place.
Sometimes though, you can work in parallel. A consumer-grade CPU may for example be used in a airtight setup when increased security is needed.
If by making CPUs more secure, self-driving moves 30 years into the future, how many lives will this affect?
There is an old joke, about Bill Gates saying that if the automotive industry could move as fast as the computer industry, we would had $100 cars that do 1000 miles to the gallon and the GM chief answering that whilst these cars would exist, they would crash twice a day.
So you can run your own DNS master server and rely on HE for availability when your server is down or even give preference to the slave DNS, so your users can get the results quick.
My guess for the frequency, is that it is a harder conversion to perform with acceptable loss. Compatibility reasons doesn't allow for just bumping it up. Also let's not forget that AC frequency actually comes from the revolutions per second the power generator does, so there may be some other physical limiting factors here.
Last, some underground high power transmission lines are actually emerged into oil, to keep them cool.
If your brand is actively associated with a controversial practice, then your sales will fall. There will be people that won't want to be seen carrying an iPhone.
But the gap in my -anecdotal- testing is much smaller than OP's and maybe predictable due to the differences (as OP described) on how OpenVPN and ssh work.
I just run iperf3 over OpenVPN / UDP with AES-256-GCM between two servers in the same DC (but different rooms, through their public network, 1gE links) and got an average of 750MBits/sec. I don't have any special setting.
For the receiving end, go can use http handlers for websockets. So when a message from any websocket is received the handler will be spawn and process it (just as any http request). Preferably dispatch it to a big central channel.
Keeping separate channels for each websocket seems overkill to me. Go has maps. Create a map with all the websocket connections and maybe smaller maps for each chat room, then set n workers to listen to the central channel and dispatch messages directly to each room member.
I own a Pace and I am pretty happy with it. Not a complete smartwatch but has all the important features for me: always on screen, stylish, acceptable battery, activity tracking and notifications.
Though most impressive ever for me was a Panasonic cassette player (walkman style) in the 90's. The thing was barely larger than a cassette itself. My young mind was blown out.
With docker and containers, integration testing is easier than ever.
I've written a very simple integration testing tool (a quick hack to be honest) that executes commands, checks their exit code, the output through regexp, etc and produces a nice html report.
https://github.com/landoop/coyote
Originally written for testing some configuration tools and scripts, we quickly found a use for it for our Kafka connector collection (Stream Reactor). Our connector integration tests are at github as well:
https://github.com/Landoop/kafka-connectors-tests
Obviously unit tests make sure that the connectors work as expected. Integration tests catch simpler errors that can be showstoppers. For example an internally renamed configuration option that didn't trickle down to the configuration parser, class shadowing issues between the connectors, unexpected errors in logs that the developers should check out etc. As the tests are written by people who don't do development, they also expose problems in the documentation. In some cases they provide us an easy way to quickly run locally a connector and catch some issues manually, like extensive CPU usage or way too much logging (e.g a function with a log statement was inside a loop that run hundreds or thousands of times per second).
It gives us confidence in what we ship with every release.
Asking Google to get them, is akin to asking a hacker hack foreign servers. Would you like the reverse? A Russian company delivering data from US based servers just because a Russian court asked for them?
What I am afraid of, is that this friction to start with caddy (because $50 per month is way too much for most use cases) will affect its user base and as a consequence the participation in development. Of course mholt and the team behind caddy are the people who love it the most and care about its future the most, so I trust they will keep pushing forward.
For people who find it difficult to build caddy from source, here is an example, provided you have Go installed and configured:
go get github.com/mholt/caddy
go get github.com/caddyserver/builds
cd "$GOPATH/src/github.com/mholt/caddy/caddy"
# Enable cors, prometheus plugins.
cat <<EOF>caddymain/plugins.go
package caddymain
import (
_ "github.com/captncraig/cors/caddy"
_ "github.com/miekg/caddy-prometheus"
)
EOF
go get -u -v -f ... || echo "Updated dependencies"
go run build.go
Edit: updated with the latest build procedureTermux is really useful, giving you an almost complete linux environment in Android phones and tablets. You can install it via Google Play, no need for root or any modification to your device. Add an external keyboard and you can work on the go.
Demonstrating a “god-awful” UI as evidence that they can't do autonomous driving is silly imo. We talk about people who design cars that can safely travel at 150+ kph. The tiniest bug or design failure can kill their clients in a spectacular way. We trust these guys with our lives.
Autonomous driving isn't about the UI, it is about math, systems, modeling, safety valves, rigorous testing. This is engineering and isn't taught in CS but in ECE classes. It is easier for an engineer to learn git than for a developer to learn differential equations. Airplanes, cars etc are controlled by microprocessors for the couple last decades. Sure, writing a polished website in angular is cool but engineers write the software that runs pacemakers. How can they not understand reliability?
Random video of A8 wireless charging: https://www.youtube.com/watch?v=ME8nFtbTH44