The Joint Accelerator Conferences Website (JACoW) is an international collaboration that publishes the proceedings of accelerator conferences held around the world.
TY - CONF AU - Fangohr, H. AU - Beg, M. AU - Bergemann, M. AU - Bondar, V. AU - Brockhauser, S. AU - Campbell, A. AU - Carinan, C. AU - Costa, R. AU - Dall'Antonia, F. AU - Danilevski, C. AU - E, J.C. AU - Ehsan, W. AU - Esenov, S.G. AU - Fabbri, R. AU - Fangohr, S. AU - Fernandez-del-Castillo, E. AU - Flucke, G. AU - Fortmann-Grote, C. AU - Fulla Marsa, D. AU - Giovanetti, G. AU - Goeries, D. AU - Götz, A. AU - Hall, J. AU - Hauf, S. AU - Hickin, D.G. AU - Holm Rod, T. AU - Jarosiewicz, T. AU - Kamil, E. AU - Karnevskiy, M. AU - Kieffer, J. AU - Kirienko, Y. AU - Klimovskaia, A. AU - Kluyver, T.A. AU - Kuster, M. AU - Le Guyader, L. AU - Madsen, A. AU - Maia, L.G. AU - Mamchyk, D. AU - Mercadier, L. AU - Michelat, T. AU - Mohacsi, I. AU - Möller, J. AU - Parenti, A. AU - Pellegrini, E. AU - Perrin, J.F. AU - Reiser, M. AU - Reppin, J. AU - Rosca, R. AU - Rück, D.B. AU - Rüter, T. AU - Santos, H. AU - Schaffer, R. AU - Scherz, A. AU - Schlünzen, F. AU - Scholz, M. AU - Schuh, M. AU - Selknaes, J.R. AU - Silenzi, A. AU - Sipos, G. AU - Spirzewski, M. AU - Sztuk, J. AU - Szuba, J. AU - Taylor, J.W. AU - Trojanowski, S. AU - Wrona, K. AU - Yaroslavtsev, A.A. AU - Zhu, J. ED - White, Karen S. ED - Brown, Kevin A. ED - Dyer, Philip S. ED - Schaa, Volker RW TI - Data Exploration and Analysis with Jupyter Notebooks J2 - Proc. of ICALEPCS2019, New York, NY, USA, 05-11 October 2019 CY - New York, NY, USA T2 - International Conference on Accelerator and Large Experimental Physics Control Systems T3 - 17 LA - english AB - Jupyter notebooks are executable documents that are displayed in a web browser. The notebook elements consist of human-authored contextual elements and computer code, and computer-generated output from executing the computer code. Such outputs can include tables and plots. The notebook elements can be executed interactively, and the whole notebook can be saved, re-loaded and re-executed, or converted to read-only formats such as HTML, LaTeX and PDF. Exploiting these characteristics, Jupyter notebooks can be used to improve the effectiveness of computational and data exploration, documentation, communication, reproducibility and re-usability of scientific research results. They also serve as building blocks of remote data access and analysis as is required for facilities hosting large data sets and initiatives such as the European Open Science Cloud (EOSC). In this contribution we report from our experience of using Jupyter notebooks for data analysis at research facilities, and outline opportunities and future plans. PB - JACoW Publishing CP - Geneva, Switzerland SP - 799 EP - 806 KW - FEL KW - data-analysis KW - experiment KW - software KW - detector DA - 2020/08 PY - 2020 SN - 2226-0358 SN - 978-3-95450-209-7 DO - doi:10.18429/JACoW-ICALEPCS2019-TUCPR02 UR - https://jacow.org/icalepcs2019/papers/tucpr02.pdf ER -