8.1 Jupyter Notebook Introduction

This version of the DrizzlePac Handbook uses Jupyter Notebooks for the practical examples. The notebooks contain live code and visualizations, along with the traditional narrative text, making them an ideal training exercise for users. Those unfamiliar with Jupyter Notebooks can find information about installation and usage at the Project Jupyter website.

Each tutorial includes blocks of code demonstrating how to download calibrated data from the MAST archive, how to align frames and update the image world coordinate system (WCS), and how to enhance the scientific value of the drizzled data products using advanced reprocessing techniques.

All the DrizzlePac Jupyter Notebooks are hosted at the Space Telescope Science Institute Notebook repository. For additional assistance with the DrizzlePac notebooks, users may submit a ticket at the STScI Help Desk portal (preferred) or send an email to help@stsci.edu.