An undergraduate studying carbon emissions in European cities. A graduate student working with federal data. Faculty members seeking to equip their students with the best methods for financial analysis or epidemiology. A late-career researcher re-tooling his approach to a real-world problem. These are just some of the people GW Libraries and Academic Innovation (GWLAI) has helped get a leg up with one of today’s most versatile tools for computation, data analysis and software development: Python.
A programming language, Python has become the lingua franca for working with data across the academy, from genomics to economics, from fluid mechanics to media studies. Researchers turn to it because it is free, relatively easy to learn, and supported by a robust and devoted community. Students flock to Python because it provides a strong foundation for skills like data visualization and machine learning, which are in high demand in today’s job market.
“I am excited to finally become a maker in the digital world.”