Probably netbooks. I have a...I think 9.7" netbook from ASUS I bought for grad school that was quite frankly one of the best pieces of personal electronics I've

Probably netbooks. I have a...I think 9.7" netbook from ASUS I bought for grad school that was quite frankly one of the best pieces of personal electronics I've ever purchased and served me for years. It had a (for the time) a large 250GB hard drive, ran Windows 7 and pretty much everything you could think of available for Windows at the time (at least everything needed for a grad program). I ran Cygwin, putty, all of MS-Office, yED, did some Python stuff on it, some Protégé modeling, lots of research and websurfing. On downtime I watched movies, and played some light games on it. 720p screen, some USB ports, a usable keyboard, SD-card slot, VGA out, hard-line networking and wifi and decent battery life. It cost ~$350 and went around the world with me at least a dozen times as a photographer's computer -- still works just fine except the battery is fried. Dump the SD card from the camera into it and preview photos, do some minor editing and color correcting. It's not fast, but better than the camera and kept my entire kit down to a small sling bag so I could shoot on the go and keep my entire "studio" on me at all times. My only complaint was I wish it had a bit more RAM and CPU power. But for something the size of a large paperback book it absolutely rocked. Fun story, my wife launched her startup right after grad school and it was in a kind of testing phase. Things looked kind of settled for a while and we had a vacation overseas planned so we went. When we arrived she received an automated notice that her VMs were maxing out, which made no sense as nobody was really using the service. We brought that netbook with us to a coffee shop in Rome that had free wi-fi, downloaded the Google App Engine dev tools (including Eclipse!) and she was able to save her company right when it was picked up by some news agencies and was getting slammed with users, but needed more VMs allocated to scale out.