Efficient data access and analysis are crucial in the ever-expanding realm of astrophysical research. This demonstration aims to showcase a comprehensive workflow for initiating and conducting research using the European Space Agency's (ESA) Hubble Space Telescope (HST) and James Webb Space Telescope (JWST) Science Archives. Guidance will be provided from the User Interfaces to advanced scripting, supporting researchers when navigating the vast repositories of observations and data.

Starting from scratch, participants will learn how to execute simple searches using the available User Interfaces (https://hst.esac.esa.int/ehst, https://jwst.esac.esa.int/archive). These user-friendly applications will help users to identify the desired observations and check the associated files in the quick-look viewers for images, cubes and even their footprints, using an embedded version of ESASky. The objective of this step is to construct complex queries that target specific celestial objects, time periods, and data types, among many other filters.

A step-by-step walkthrough will highlight the direct integration of these queries into automated Jupyter Notebooks generated on-the-fly in the User Interfaces, removing the need for manual data extraction. These notebooks will be readily equipped with essential code snippets for data retrieval, pre-processing, and initial analysis. Participants will gain insights into effectively handling and visualizing data directly within the notebooks.

The automated notebooks serve as a foundation for attendees to embark on scientific exploration immediately, facilitating faster insights and reducing the barrier to entry for researchers new to the archives. This approach not only empowers researchers but also encourages collaborative and reproducible research practices within the astrophysical community (e.g. integrating these Notebooks into ESA Datalabs).