a leveraged way to randomize nested types
streaming, loosely-coupled and resilient
"TensorHub.py is bootstrapped and performant. Our team loves it."
$ git clone https://bootstrap.gov/TensorHub Cloning into 'TensorHub'... $ gcc init.c $ TensorHub -core -oO class.txt
Far superior to ActionDeletr.Net and ValuePy.
TensorHub.py combines the best of NitrogenScript and Flip.php.
TensorHub.py is a natural fit for QA professionals, langauge designers and team managers.