Screen is a widely used high-level, general-purpose, interpreted programming language. It is often used as the "glue" within the High Performance Computing community. 

For more information about Spark and PySpark, you can visit the following resources:

https://www.python.org/

https://en.wikipedia.org/wiki/Python_(programming_language)

Getting Started with Python

You can access and start using Python with the following steps:

1. Connect to the Tufts High Performance Compute Cluster. See Access for a detailed guide.
   
   

2. Load the Python module with the following command:

   module load python

   Note that you can see a list of all available modules (potentially including different versions of Python) by typing:

   module avail

   You can specify a specific version of Python with the module load command or use the generic module name (python) to load the latest version.

3. Start a Python session by typing:

   python

   print("Hello, World!")

Python related:

How can I verify if a particular Python package is installed?
Add-on tools such as numpy and scipy are installed. Others would be under the install tree located at:
/opt/shared/python/
in the version specific site-packages directory.   Another approach uses pip.

For a more detailed overview of Python and how it relates to Big Data or High Performance Computing (HPC) please contact tts-research@tufts.edu for information regarding future workshops.