University of California Press

Table 1.

Learning objectives for Python programming exercise

Instructional Phase	Learning Goals
Day 1: Familiarity with the Command Line	LG 1: Type and execute a series of one-line codes on the Python GUI.
Day 2: Introduction to Python Libraries and Basic Statistical Analyses	LG 2.1: Organize a data set into a data frame using the pandas library. LG 2.2: Calculate summary statistics using the pandas library. LG 2.3: Execute a pairwise t-test using the scipy library.
Day 3: Simple Graphing in Python	LG 3: Create a line and bar graph using the matplotlib library.
Day 4: Importing and Analyzing a Raw Data Set	LG 4.1: Import and parse an Excel data set using pandas. LG 4.2: Calculate summary statistics and depict the data on a bar graph using pyplot. LG 4.3: Execute a t-test using scipy.

Instructional Phase	Learning Goals
Day 1: Familiarity with the Command Line	LG 1: Type and execute a series of one-line codes on the Python GUI.
Day 2: Introduction to Python Libraries and Basic Statistical Analyses	LG 2.1: Organize a data set into a data frame using the pandas library. LG 2.2: Calculate summary statistics using the pandas library. LG 2.3: Execute a pairwise t-test using the scipy library.
Day 3: Simple Graphing in Python	LG 3: Create a line and bar graph using the matplotlib library.
Day 4: Importing and Analyzing a Raw Data Set	LG 4.1: Import and parse an Excel data set using pandas. LG 4.2: Calculate summary statistics and depict the data on a bar graph using pyplot. LG 4.3: Execute a t-test using scipy.