Now imagine combining Excel’s familiar interface with the analytical power of Python—suddenly, your workflow ... enhances this process by allowing you to preprocess your data before analysis.

Microarray data analysis has been the subject ... for design and modification of workflows. It has capabilities for developing novel computational components in the R, Python, and Java programming ...

The move is designed to benefit developers of media workflows ... such as Python are not optimized for this type of computation. In fact, media, tabular, and semi-structured data processing ...

A team of researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory presented new techniques for automating inter-facility workflows—workflows ... increased automation of our ...

eventually resulting in the Python version of this workflow. We see this approach as analogous to a gene array, the data is unvalidated and results in hypothesis generation, so findings made using ...

Python data science libraries like Pandas are quite powerful — used by millions to prepare, transform, and analyze data in machine learning workflows. Despite this level of adoption, they often ...