JupyterLab can be viewed as the evolution of the Jupyter Notebooks, an open-source web application that allows combining interactive code (Python, R, Matlab, C++, etc.), equations, text and rich outputs. JupyterLab provides full support for Jupyter Notebooks and add powerful capabilities, such as text editors, terminals, data file viewers, interactive plotting, etc. In this session we will provide a brief overview of the main capabilities of JupyterLab and Jupyter Notebooks with a focus on Data Science applications.
Profesor Titular (Associate Professor) at Universidad Carlos III de Madrid (UC3M), Department of Statistics. He received his B.S. in Industrial Engineering (2007) from the Universidad de Castilla-La Mancha and his PhD in Electrical Engineering from the Universidad de Castilla-La Mancha (2012) under the supervision of Professor Antonio J. Conejo. He has been a postdoctoral researcher at Supélec and École Centrale (Paris, France) and at Universidad Carlos III de Madrid (2013-2014). He has published over 20 papers in JCR journals and presented his work in several international conferences such as INFORMS or ISMP.