TY  - JOUR
A1  - Aiken, John M.
A1  - Aiken, Chastity
A1  - Cotton, Fabrice Pierre
T1  - A python library for teaching computation to seismology students
JF  - Seismological research letters
N2  - Python is at the forefront of scientific computation for seismologists and therefore should be introduced to students interested in becoming seismologists. On its own, Python is open source and well designed with extensive libraries. However, Python code can also be executed, visualized, and communicated to others with "Jupyter Notebooks". Thus, Jupyter Notebooks are ideal for teaching students Python and scientific computation. In this article, we designed an openly available Python library and collection of Jupyter Notebooks based on defined scientific computation learning goals for seismology students. The Notebooks cover topics from an introduction to Python to organizing data, earthquake catalog statistics, linear regression, and making maps. Our Python library and collection of Jupyter Notebooks are meant to be used as course materials for an upper-division data analysis course in an Earth Science Department, and the materials were tested in a Probabilistic Seismic Hazard course. However, seismologists or anyone else who is interested in Python for data analysis and map making can use these materials.
Y1  - 2018
U6  - https://doi.org/10.1785/0220170246
SN  - 0895-0695
SN  - 1938-2057
VL  - 89
IS  - 3
SP  - 1165
EP  - 1171
PB  - Seismological Society of America
CY  - Albany
ER  -