In this paper, we show how the wealth of Python DS libraries can be used in a statically safe way via Safe-DS, a domain specific language (DSL) for DS.
However, this dataset has not been comprehensively studied to its potential.
Program repair research has made tremendous progress over the last few years, and software development bots are now being invented to help developers gain productivity.
Software Engineering
Array programming provides a powerful, compact, expressive syntax for accessing, manipulating, and operating on data in vectors, matrices, and higher-dimensional arrays.
Mathematical Software Computation
In this chapter, we present a genetic programming-based AutoML system called TPOT that optimizes a series of feature preprocessors and machine learning models with the goal of maximizing classification accuracy on a supervised classification problem.
Opportunistic data combined with a relatively small amount of data collected with a known effort may thus provide access to accurate and precise estimates of quantitative changes in relative abundance over space and/or time.
Applications
Scientists are well skilled in the process from data to publication.
Exploratory data science largely happens in computational notebooks with dataframe APIs, such as pandas, that support flexible means to transform, clean, and analyze data.
Databases Human-Computer Interaction
Artificial intelligence has recently experienced remarkable advances, fueled by large models, vast datasets, accelerated hardware, and, last but not least, the transformative power of differentiable programming.
Causal discovery aims at revealing causal relations from observational data, which is a fundamental task in science and engineering.