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Prerequisites: MATH 1132Q, or instructor consent.
Grading Basis: Graded
Introduction to statistical programming via Python including data types, control flow, object-oriented programming, and graphical user interface-driven applications such as Jupyter notebooks. Emphasis on algorithmic thinking, efficient implementation of different data structures, control and data abstraction, file processing, and data analysis and visualization.
Last Refreshed: 24-SEP-21 05.20.21.147837 AM
|1218 13304 1 001||Fall 2021||Storrs||In Person||Lim, Daeyoung