Python’s built-in data structures—like lists, tuples, sets, and dictionaries—are the backbone of efficient, readable, and scalable code. Knowing when and how to use each can drastically improve ...

How type annotation and type checking helped Dropbox maintain a massive Python code base. While Python is a hugely popular programming language it has limitations, not least of which is how difficult ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

In this session, Kundurthy will cover how Data Parallel Python can be used to develop high-performing code for ALCF’s upcoming Auroraexascale supercomputer. The talk will introduce Numba-dppy and show ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

This article is adapted from an edition of our Off the Charts newsletter originally published in October 2021. Off the Charts is a weekly, subscriber-only guide to The Economist’s award-winning data ...