Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Spiffy and convenient as Python is, most everyone who uses the language knows it’s comparatively creaky—orders of magnitude slower than C, Java, or JavaScript for CPU-intensive work. But several ...

NumPy (Numerical Python) is an open-source library for the Python programming language. It is used for scientific computing and working with arrays. Apart from its multidimensional array object, it ...

In December 2019 my InfoWorld colleague Sharon Machlis wrote an article called “How to merge data in R using R merge, dplyr, or data.table.” Sharon is a whiz at R programming, and analytics in general ...

For the past few months, I've been covering different software packages for scientific computations. For my next several articles, I'm going to be focusing on using Python to come up with your own ...

There is a phenomenon in the Python programming language that affects the efficiency of data representation and memory. I call it the "invisible line." This invisible line might seem innocuous at ...

These are my go-to libraries for Python data crunching.