Engineering a scalable and interactive web tool for JRO data exploration using Python's bokeh library

Khan, Abdullah S

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https://hdl.handle.net/2142/113816 Copy

Description

Title

Engineering a scalable and interactive web tool for JRO data exploration using Python's bokeh library

Author(s)

Khan, Abdullah S

Issue Date

2021-10-28

Director of Research (if dissertation) or Advisor (if thesis)

Kudeki, Erhan

Department of Study

Electrical & Computer Eng

Discipline

Electrical & Computer Engr

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

• Bokeh
• Software Engineering
• Python

Abstract

This thesis reports the development of new Python code for transitioning from the old interactive Jicamarca Radio Observatory (JRO) Mesospheric Winds webpage to a more user-friendly and scalable version. The original script was reliant on outdated Javascript, HTML, and Python and is difficult to scale. The new server, implemented entirely through Bokeh, a Python library, was developed as a solution to the hierarchical complexity of the required tasks. The procedures engineered in the development will be presented, as well as challenges, solutions, drawbacks, and future implementation strategies. By the project’s end, we were able to create a beta version of a new, simplified web page that can reliably display the same prevalent data from before and a modular coding setup that is easier to modify and scale. We also compare the previous implementation with the newly designed web page and explain how future users may build upon this work for developing display and exploration tools for other radar data sets from Jicamarca and elsewhere.

Graduation Semester

2021-12

Type of Resource

Thesis

Permalink

http://hdl.handle.net/2142/113816

Copyright and License Information

Copyright 2021 Abdullah Khan

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