![screenshot][]
In the following we will be using R’s “restarts” feature to implement the state machine that drives generators in languages such as Python. Generators allow lazily generating values on demand: a consumer invokes a generator, and consumes values as they are produced. A new value is only produced once the previous one has been consumed.
| ## ------------------------------------------------------------------------ | |
| # Set the repo for use throughout | |
| cran <- "https://cran.rstudio.org" | |
| # Install | |
| if(!require(miniCRAN)){ | |
| install.packages("miniCRAN", repos = cran) | |
| } | |
| ## ------------------------------------------------------------------------ |
| install.packages('caret') | |
| install.packages('ccd') | |
| install.packages('d3Network') | |
| install.packages('data.table') | |
| install.packages('dplyr') | |
| install.packages('DMwR') | |
| install.packages('e1071') | |
| install.packages('ergm') | |
| install.packages('ff') | |
| install.packages('foreach') |
| innovationScore,innovationScore2,names,type,description | |
| 4.7,470,3L Labs Footlogger,medical,"The 3L Labs Footlogger is a wearable fitness tracking device that aims at spotting health problems early, as well as logging daily activity. Placed in the user's shoe, 8 sensors coupled to 1 accelerometer help identify and record exercise habits. The data is then disclosed to the user via text or smartphone app. This computing device's technology can be used for athletes training, regular everyday workouts and rehabilitation." | |
| 5.44,544,4D Force,,"The 4D Force is a wearable technology that detects brain waves and converts them into electric signals. 4D Force developed a platform that can capture and compute high quality EEG/ EOG/EMG signals. With the device, users can control games by using the power of their thoughts. 4D Force can also be used for medical purposes as it has the ability to interpret electrical signals generated by the body, and create recommendations for changes in lifestyle." | |
| 4,400,4iiii Viiiiva,Fitnes |
I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!
\
I wanted to set up one of my Raspberry Pi's as a data dashboard, pushing sensor data to a web interface that's easy to digest. I decided to use Shopify's Dashing framework. Dashing is based on Sinatra, and is pretty lightweight.
Dashing does require Ruby 1.9.3 to run. In addition, it makes use of the execjs gem, which needs to have a working Javascript interpreter available. Originally, I tried to get therubyracer working, but decided to switch over to Node.js when I ran into roadblocks compiling V8.
One warning: The RPi is a very slow system compared with modern multi-core x86-style systems. It's pretty robust, but compiling all this complex software taxes the system quite a bit. Expect that it's going to take at least half a day to get everything going.
