We agree it is simple, but actually, it isn’t so much Python per se, it is some pretty cool libraries (SciPy, in particular) that do all the hard work.

However, in recent years the open source community has developed increasingly-sophisticated data manipulation, statistical analysis, and machine learning libraries for Python. We are now at the point ...

Overview: Python remains reliable for general programming, web development, and data analysis.Mojo offers high-speed ...

The latest annual Python Developers Survey took the pulse of over 30,000 developers to see what makes the community tick in ...

Data analytics determines if patterns, trends, or insights can help inform you of your data set. Data analytics involves collecting, cleaning, and then compiling the data in certain ways. It ...

Moving beyond simple data analysis, the Master of Science in Machine Learning and Data Science program from the M c Cormick School of Engineering and Applied Science at Northwestern University equips ...

Principal component analysis is often incorporated into genome-wide expression studies, but what is it and how can it be used to explore high-dimensional data?

We study recently developed nonparametric methods for estimating the number of missing studies that might exist in a metanalysis and the effect that these studies might have had on its outcome. These ...

A simple method for comparing independent groups of clustered binary data with group-specific covariates is proposed. It is based on the concepts of design effect and effective sample size widely used ...