After a successful year of discoveries since the first public JWST images were revealed, the James Webb Space Telescope (JWST) has solidified its position as the premier space science observatory. Over the past year, the ESAC Science Data Centre (ESDC) has taken the lead in establishing the European JWST Science Archive (eJWST), aimed at enhancing the scientific outcomes of this remarkable observatory. As a part of the collaborative efforts involving NASA, ESA, and CSA, all JWST metadata and public data are now being seamlessly synchronised in real-time, mirroring the Mikulski Archive for Space Telescopes (MAST) JWST archive at the Space Telescope Science Institute (STScI).

The eJWST Science Archive ensures swift, intuitive, and user-friendly access to Webb's invaluable data: for both private observations (data stored at STScI) and public observations (data housed at ESDC) with utmost convenience. This provides a guide to the exploration of the celestial landscape viewed by JWST, contextualising observation data and metadata within the realm of multi-wavelength science. Integration with the ESASky tool (containing access to all ESA science archives) enriches the experience, while archive data viewers offer on-the-fly previews. Moreover, we will illustrate how the eJWST Archive propels scientific research by offering various helper tools, such as searches based on the ADQL query language and dedicated Python modules including the ESA JWST Astroquery module. This package is also included within the JWST section of ESA Datalabs, an innovative science exploitation platform developed by the Data Science and Archives Division at ESAC.

In addition, the James Webb Space Telescope workspace within ESA Datalabs will be presented. Here we highlight the software packages that are at users' disposal for processing JWST products, along with sample notebooks that empower exploration and analysis of data from the European JWST archive. The JWST area in ESA Datalabs comes equipped with the latest version of the processing pipeline and associated calibration files (contexts), which are updated daily. Furthermore, this workspace serves as a hub for JWST workshops and summer schools. By relieving lecturers and participants of software configuration and setup concerns, it allows users of ESA Datalabs to focus their energies squarely on the analysis of JWST data.

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).