Python Quick Strike Learning Cohort: Session 2- Data Structures, objects, classes

Overview: Python Quick-Strike Learning Cohort is offered through a collaboration between Princeton Institute for Computational Science and Engineering (PICsiE) and GradFUTURES. The Python Learning Cohort is an intensive, eight-week program open to all graduate students, postdocs, and research professionals eager to develop practical Python programming skills from the ground up. Whether you’re a complete beginner or looking to solidify your foundational knowledge, this learning cohort offers a structured path to proficiency with topics relevant to all four divisions: Humanities, Social Sciences, Natural Sciences and Engineering. Upon successful completion of learning cohort including capstone, participants will receive a micro-credential and certification recognizing their proficiency in Python.

Throughout this cohort, participants will engage in a series of targeted sessions that systematically build from basic concepts to advanced applications in data science and machine learning. The curriculum is designed to ensure that by the end of the program, you have a comprehensive understanding of Python and can apply your skills in real-world scenarios.

Session Description: While individual variables are one way to store data, this week we will introduce you to ways you can store larger datasets using different structures and objects in Python as well as the basic concepts of Object-Oriented Programming (OOP). Since everything is an object in Python, you can apply what we learned to work with a variety of packages and modules going forward.