1,194 karma · joined January 22, 2010
interests: bioinformatics, math, programming
Desktop virtualization using the NX protocol and Linux containers is also really friendly. Our company uses old Pentium D boxes for desktops. The performance gain from using a thin client + lxc + lubuntu is insane! I can actually watch youtube videos and draw in OpenOffice Writer. (Also great for disaster recovery scenarios).
Aside from that, I have had a recent interest in Docker, LXC and QVD. Thanks for the information, jnoller. I have been doing the reading (without the typing), but this just reassured me that I am on the right path. The Docker part rolls in for segregating applications from each other. In case one app gets compromised, they do not all fall down. Another interest is hitting a few compliance standards by utilizing LXC on its own. Finally, virtualization with QVD and LXC.
Could this could be used if the browser does not support JS?
Five years later, I transferred to a standing desk after sitting in labs and office chairs for three years. After that three week point, once again, I noticed the uncomfortableness of it fade away. Standing desks nearly insta-improve posture if you setup your angles correctly.
The real problem with chairs: most people do not take the time to adjust the arms, height, angles, monitor angles, and keyboard/mouse position for correct posture. Usually, the adjustments are made for comfort. Temporary comfort does not equate to long term comfort. Our CIO suffers from extreme back problems in his older age.
" No, this is not a phishing scheme. We are hosting a hackathon to give you an opportunity to join fellow hackers build a photo viewing app. The hackathon will take place on Sat, Oct 26th on Google's Mountain View campus. (...) On behalf of the Google Industry Programs Events team "
My wife's Samsung phone is so incredibly foreign to the vanilla Android experience. I have had some recent issues with Google Maps draining my battery, but that was corrected by simply reverting the update. All in all, a great phone. If I destroy it, I can just get a new one for $250. Flops consisted of the wireless battery charge, frictionless glass back that slides, and (original) nubless back that left the speaker against the surface.
I remember bunnyhopping and attempting to figure out the glitch to alter the effect even more on sharper turns.
So many 'wasted years' that resulted in a wonderful career and field of study. I emailed John a few times throughout the years. He was the most courteous and honest person I have ever met. One of the replies from Carmack went along the lines of, 'Yeah, those models are our IP. If your community is small and the growth is not going to explode, feel free to use them. Just do not brag about it on your website. Our lawyers are not hunting for people, unless they wish to be seen.'
Generate sequences of numbers continually, ad infinitum, and determine if distribution rates are (?).
How would one begin to fill in that question mark? A PRNG that spits out three million 'zeros' and a single 'four' is as reliable as a PRNG that spits out an even distribution of random numbers.
For example: $650 student loans,$100 cellphones,$90 car insurance,$300 food,$250 gas,$150 electric (average over 12 months),$80 water/sewage/trash ---- $1620
($1620/$4000) 100 = 40.5% recurring debt to credit ratio
Note: Most lenders do not factor in utilities. You should. They will let you drown.
It is always wise to take your Good Faith Estimate and refactor your d/c ratio.
$1620 recurring,$350 mortgage,$120 home insurance,$150 taxes,$80 mortgage insurance ---- $2320 (2320/4000)*100=58% 42% of your income remains to be spent on fed taxes, benefits at work, non recurring debt, random quirks of life.
I really think 2x Household salary is pushing the limit of what you can afford. Vehicles break, pipes bust, utilities are going to have fees/unexpected jumps, people get sick, etc, etc.
Don't waste your life preparing for the unknown. Just don't dig yourself into a hole that you can't swim out of once the floods come.
A use case for this data is creating a game and reserving the most popular 100 names. A few years down the road sell them for in-game currency or real life currency. Auction em to help support newer updates, etc.