Low-Code Programming Models Page 1 76 COMMUNICATIONS OF THE ACM | OCTOBER
2023 | VOL. 66 | NO. 10 research key insights ˽ Low-code minimizes the use of textual …

AI-powered code assistants, such as Copilot, are quickly becoming a ubiquitous component
of contemporary coding contexts. Among these environments, computational notebooks …

Interfaces for machine learning (ML), information and visualizations about models or data,
can help practitioners build robust and responsible ML systems. Despite their benefits …

The confusion matrix, a ubiquitous visualization for helping people evaluate machine
learning models, is a tabular layout that compares predicted class labels against actual …

Exploratory data science largely happens in computational notebooks with dataframe APIs,
such as pandas, that support flexible means to transform, clean, and analyze data. Yet …

Modern visualization tools aim to allow data analysts to easily create exploratory
visualizations. When the input data layout conforms to the visualization design, users can …

Interfaces for creating visualizations typically embrace one of several common forms.
Textual specification enables fine-grained control, shelf building facilitates rapid exploration …

Document description languages such as LaTeX are used extensively to author scientific
and technical documents, but editing them is cumbersome: code-based editors only provide …

Creative coding is a rapidly expanding domain for both artistic expression and
computational education. Numerous libraries and IDEs support creative coding, however …

Researchers have explored several avenues to mitigate data scientists' frustrations with
computational notebooks, including:(1) live programming, to keep notebook results …