Using Categorical Features in Mining Bug Tracking Systems to Assign Bug Reports
Jeff Brown
Department of Mathematics and Statistics, University of North Carolina
Wilmington
ABSTRACT
Jupyter notebooks, formerly known as iPython notebooks, are widely used for data analysis and other
areas of scientific computing. Notebooks can contain formatted text, images, LaTeX formulas, as well as
code that can be executed, edited and executed again. A jupyter hub is a multi-user server for jupyter
notebooks, and setting up a jupyter hub is a complex endeavour that involves many steps. The instructions
found online for setup often have to be customized for different operating systems, and there is not one
source that covers all aspects of setup. This paper describes the details of setting up a jupyter hub
environment on a server running CentOS 7, and includes a discussion of lessons learned from using this
system in data science classes.
KEYWORDS
Data analysis, Python, Jupyter, Jupyterhub .
Original Source URL: http://aircconline.com/ijsea/V9N2/9218ijsea01.pdf
For More Details: http://www.airccse.org/journal/ijsea/current.html
Diagram:
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