#THONNY FOR TINKERBOARD INSTALL#

I was also able to install the major NLP libraries, including SpaCy and NLTK. Python 2.7 and 3.4 both work fine on this device. Sudo pip3 install tensorflow-1.0.1-cp34-cp34m-linux_armv7l.whl Sudo pip install tensorflow-1.0.1-cp27-none-linux_armv7l.whl

Pip install -user numpy scipy matplotlib ipython jupyter pandas sympy nose Sudo apt-get install python-dev python3-dev Sudo apt-get install cmake gcc g++ libxml2 libxml2-* leveldb* System and Python Setup sudo apt-get update One quirk, make sure you remember this: TinkerOS' default username is “linaro”, and the password is “linaro”. I wonder if Google will add this device to the AndroidThings supported devices. An Android OS is now available for download as well, and that may be worth trying. It's a Debian variant close enough to Raspian for most IoT developers and users to be comfortable. I downloaded and burned, with Etcher, a MicroSD image of TinkerOS_Debian V1.8 (beta version). It has more RAM, which helps on some of these activities. I found most instructions worked for Raspberry Pi on this device. It is easy to install Python and all the libraries required for IoT and some deep learning. I have had an ASUS TinkerBoard for a few months now, so it is time to review and spread the 411 on setting it up and using it for IoT Deep Learning workflows.

Thonny for tinkerboard