Lecture 3: Arrays and NumPy¶
In this lecture students are introduced to arrays and the NumPy library, including how to create and manipulate arrays using built-in functions and methods.
Lecture 4: Table Fundamentals¶
In this lecture students are introduced to exploratory data analysis through reading datasets and working with tables, covering key table methods, method chaining, and the Print and NoneType concepts.
Homework 2: Arrays and Table Fundamentals¶
In this homework students work with table attributes and methods, array functions, and summary statistics such as averages, max, and min, while also constructing frequency tables and estimating populations with weighted averages.
Discussion 3: Documentation, Array Operations and Table Methods¶
In this discussion students deepen their understanding of NumPy and arrays by practicing array operations and functions alongside table creation and manipulation methods.
Lab 3: Print, Arrays, and Tables¶
In this lab students practice using Print(), work with NoneType, and apply table methods and attributes to explore and manipulate tabular data.