Computational notebooks have become the tool of choice for many data scientists and
practitioners for performing analyses and disseminating results. Despite their increasing …

In this paper, we present the first exploratory study of deprecated Python library APIs to
understand the status quo of API deprecation in the realm of Python libraries. Specifically …

Unmanned aerial vehicles (UAVs) can be used to monitor traffic in a variety of settings,
including security, traffic surveillance, and traffic control. Numerous academics have been …

More than ninety percent of published Jupyternotebooks do not state dependencies on
external packages. This makes them non-executable and thus hinders reproducibility of …

Data analysis is challenging as it requires synthesizing domain knowledge, statistical
expertise, and programming skills. Assistants powered by large language models (LLMs) …

Variable names are important to understand and maintain code. If a variable name and the
value stored in the variable do not match, then the program suffers from a name-value …

There is a growing demand to train Earth Observation (EO) data users in how to access and
use existing and upcoming data. A promising tool for data-related training is computational …

Jupyter notebooks enable developers to interleave code snippets with rich-text and in-line
visualizations. Data scientists use Jupyter notebook as the de-facto standard for creating …

Virtual research environments (VREs) provide user‐centric support in the lifecycle of
research activities, for example, discovering and accessing research assets or composing …

Despite being the most popular programming language, Python has not yet received
enough attention from the community. To the best of our knowledge, there is no general …