The development of flood maps requires the collaboration of many specialists, including coastal scientists, hydrologists, engineers, and geospatial analysts. With such a diverse team comes unique preferences in data types, computational tools, and operating systems, creating a dynamic that is often compartmentalized and susceptible to bottlenecks. No universal tool will completely resolve this issue. However, the rigorous use of JupyterLab offers several opportunities for improvement when the following key concepts are included: documentation, reproducibility, ease of use (both technical and nontechnical), OS-friendly file and path management, functions that are accessible, lean, and out of the main cell, and data visualization.
Seth Lawler details how the new features of JupyterLab can be used to facilitate the creation of lean, feature-rich notebooks suitable for sharing with colleagues and clients of all technical backgrounds. Along the way, Seth explains how to make the most out of consoles during notebook development, use bash commands in the terminal for file management, keep notebooks (relatively) clutter free through judicious use of the text editor, implement data linkages and interactive plotting, and integrate interactive maps in notebooks (GIS capabilities).
Seth Lawler is an engineering consultant with expertise in coastal and riverine surface water modeling. A subject-matter expert in scientific programming with experience developing and scaling serial applications for parallel processing in high-performance and cloud computing environments, Seth has worked on wide-ranging projects at the national, state, and local level, including the development and quality control of tools in use by the US Army Corps of Engineers and the United States Geological Survey. He is currently completing a PhD in civil engineering at George Mason University, where he is conducting research with the National Weather Service to enhance modeling and forecasting capabilities in areas influenced by coastal and fluvial flooding mechanisms.
For exhibition and sponsorship opportunities, email email@example.com
For information on trade opportunities with JupyterCon, email firstname.lastname@example.org
View a complete list of JupyterCon contacts
©2018, O'Reilly Media, Inc. • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • email@example.com