Python is a popular programming language for analyzing numerical and textual data. The mini-course will present elements and features of Python and how it can be used within a workflow. The course includes in-class exercises so participants can become familiar with programming techniques. The course is intended for researchers working with data generated by simulations, acquired from experiments, or collected from other sources.
Learning objectives: Emphasis on getting started with Python and understanding its fundamentals so attendees can continue learning on their own.
Knowledge prerequisites: Experience in another programming language is recommended background for the session.
Hardware/software prerequisites: Some attendees will use the 15 Mac Pro workstations in the McGraw Center. Others can use their laptop.
Workshop format: Presentation, demonstration, and in-class programming exercises.
Please register online at princeton.edu/training.