# SSBW - Python Tutorial 2: NumPy and Matplotlib modules

Initial Publication Date: August 18, 2021

#### Summary

In this interactive tutorial built for a learning management system, students 1) practice using the basic syntax of Python command line and scripts, 2) use the functionality of the NumPy module to create arrays and manipulate them, 3) use arrays to store trigonometric wave functions, 4) use Matplotlib module and pyplot functions to make plots of these functions, and 5) evaluate how changes in wave amplitude, frequency, period, or type influence the results.

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## Context

#### Audience

The IRIS Seismology Skill Building Workshop (SSBW), which is a free, online, open-access, large-enrollment, 12-week summer workshop for upper level undergraduates.

#### Skills and concepts that students must have mastered

This assignment builds on prior experience using a Linux command line environment, Python syntax, variables, and print functions, along with the ability to retrieve relevant information about programming and seismology from internet research or help pages.

#### How the activity is situated in the course

This is assignment number 26 of 35 in the Seismology Skill Building Workshop (SSBW).

## Goals

#### Content/concepts goals for this activity

Proficiency with Python, NumPy, arrays, Matplotlib, and wave concepts.

#### Higher order thinking skills goals for this activity

Retrieving relevant information from digital sources to accomplish tasks, using correct programming syntax, evaluating and describing computing output in the context of science concepts.

## Description and Teaching Materials

Students will:
1. Use NumPy to create and use arrays in Python
2. Calculate the seismic energy release from an array of earthquake magnitudes
3. Create a Python script with NumPy used to store a sin and tan wave function in arrays
4. Use Matplotlib pyplot functions to plot the stored sin and tan waves
5. Manipulate the waves by adjusting script variables for the frequency and amplitude
6. Adjust the plotting parameters to tailor the plot

## Teaching Notes and Tips

This assignment was constructed in the Moodle learning management system, and has been exported in the GIFT format. More information about the syntax of this format can be found here: https://docs.moodle.org/en/GIFT_format

## Assessment

This assignment is automatically graded by the learning management system. The number of questions of each type used are:
17 multiple choice questions