There’s no lack of database choices when it comes to building your next big data analytics platform. Relational data stores, column-oriented databases, in-memory data grids, graph databases, scale-out ...

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 ...

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

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?