Many computational endeavors benefit from some form of parallelization, and SLURM provides a way to do “embarrassingly parallel” processing relatively simply (read more about parallelization).

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

Have you ever found yourself buried under a mountain of Excel spreadsheets, painstakingly updating formulas every time new data comes in? It’s a common struggle, one that can turn even the most ...

In microarray gene expression experiments, several diverse conditions in each experiment (e.g., time, doses, replicates) increase the data points from tens of thousands of measurements for a single ...

Imagine you’re tasked with analyzing two datasets—one containing a list of products and another with customer segments. How do you uncover every possible pairing to identify untapped opportunities?

Hitachi Data Systems Corp. (HDS) today announced major upgrades to its two highest-end storage arrays, including software that allows the systems to mimic optical disks’ WORM (write once, read many) ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.