  Jupyter Notebook is a popular tool among data analysts and scientists for
working with data. It provides a way to combine code, documentation, and
visualizations in a single, interactive environment, facilitating code reuse.
While code reuse can improve programming efficiency, it can also decrease
readability, security, and overall performance. We conduct a large-scale
exploratory study of code reuse practices in the Jupyter Notebook development
community on the Stack Overflow platform to understand the potential negative
impacts of code reuse. Our findings identified 1,097,470 Jupyter Notebook clone
pairs that reuse Stack Overflow code snippets, and the average code snippet has
7.91 code quality violations. Through our research, we gain insight into the
reasons behind Jupyter Notebook developers' decision to reuse code and the
potential drawbacks of this practice.
