Description:

The NumPy package in Python is useful – not just as a standalone package for working with multidimensional numerical arrays – but it is also the backbone of hundreds of other Python packages, including many of the most popular packages, like Pandas and Scikit-learn. NumPy is a dependency of these packages. The NumPy developers are currently releasing NumPy 2.0.0, the first major update since 2006. The update may cause your previously written code to break. In this workshop, we will introduce you to new features available in NumPy 2.0.0 and provide helpful tips on how you can prevent your existing code from breaking.

Prerequisites: Participants should be familiar with Python at the level of the Python Fundamentals Bootcamp, another introductory Python workshop, or be a self-taught Python coder.

Next Steps in Python is a series of workshops that will help you improve your research code through new packages, skills, and other tips. You do not need to attend each session to participate. Each one-hour session meets via Zoom on a Monday at noon, CDT.

This workshop series complements our other data science services and support for researchers. All Northwestern researchers (student, staff, and faculty in all fields) can request free consultations with our Data Scientists and Statisticians to guide you through your data project, from considering the feasibility and choosing a method to troubleshooting the code and suggesting improvements. If you're looking for more extensive support, we partner on faculty-sponsored research through our project collaboration service.