The tutorials have been created using interactive Jupyter notebooks.  You can
start jupyter by running:

   jupyter lab

This will launch a local server and display a local URL you can open in your
browser to interact with notebooks (.ipynb files).  This runs completely
on your machine, so you can use jupyter freely and securely.


Inside the Jupyter interface you can choose Open, then can select one of the
tutorials.  They are designed to be worked through in order, so start with:

   tutorials/notebooks/1_Assets.ipynb

Use the "> Run" button to step through the tutorial.  The code blocks will run
in realtime as you run each cell, displaying any output.

Once you have completed that notebook, move on to the next in the sequence.
At the end of these tutorials you will have a solid working knowledge of
TripleBlind's technology.


You can gain more information by looking at the 'examples' folder in the SDK.
These can be viewed using Jupyter, but not run directly.  You must run the
example scripts from the command line or in a full Python IDE.

Each example tackles a different challenge, ranging from performing a simple
secure inference with a pre-built model to training an XGBoost model
from scratch on someone else's private data.  Various types of data are used
in the examples including tabular (CSV), image, EKG and more.

Learn more online at:
   https://tripleblind.app    and   https://dev.tripleblind.app
