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 ...

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 ...

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 ...