If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

When using the Office JavaScript API to update rows in an Excel.Table, the performance should be consistent with previous versions. Specifically, updating 1,500 random rows (10% of a 15,000-row table) ...

Long the leading Asian American playwright, he was writing autofictional works about identity politics decades before those were cultural obsessions. The Greats Long the leading Asian American ...

Q. I currently keep a static to-do list, and I would like to update it to be more dynamic. Do you have any advice? A. Microsoft Excel is best known for crunching numbers, but it’s also a powerful tool ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

The state of late-night TV is keeping media executives from sleeping well. But so too has the exodus of young people from linear TV. Late-night has long commanded ad dollars and top premiums from ...

Distributed statistical learning problems arise commonly when dealing with large datasets. In this setup, datasets are partitioned over machines, which compute locally, and communicate short messages.

In the stock market, there may be a linear relationship between the stock price on the current day and stock prices in several previous trading days. According to this concept, we design the following ...