Once the new government administration started in January, the flurry of government employee actions and corporations scrambling to exit corporate policies related to diversity, equity and inclusion ...

Abstract: With Python's ascension as a dominant program-ming language, particularly in the fields of artificial intelligence and data science, the need for comprehensive datasets focusing on software ...

In the age of data-driven decision-making, access to high-quality and diverse datasets is crucial for training reliable machine learning models. However, acquiring such data often comes with numerous ...

This is similar to #32366 but not exactly the same. I have a dataset where I am trying to filter by a column in my parquet files that is a timestamp with timezone type. Every way that I try to do the ...

The digital version of the SIM card, included on many newer phones, is set to become prevalent. It also offers affordable cellular data abroad. By Brian X. Chen Brian X. Chen is The Times’s lead ...

Abstract: In this paper, we present ManyTypes4Py, a large Python dataset for machine learning (ML)-based type inference. The dataset contains a total of 5,382 Python projects with more than 869K type ...

We have a dataset with a timestamp column that is sparsely populated and originates from many json files. So it is very likely that in some of those json files there is no timestamp (as string in ISO ...