Seismological Research Letters · 2018 · 12 citations · 18 references
EducationEarth SciencesScience EducationComputer GraphicsEarth Science EducationSeismologyComputer-based TrainingEarth Science InstructionOnline LearningSeismic Data ProcessingComputer-based Science InstructionData ProcessingEarth Science Laboratory InstructionEarth Science ModelingEarth Science PedagogyEarth Science Teaching
ABSTRACT Efficient computer programming is becoming a central requirement in quantitative Earth science education. This applies not only to the early career stage but—due to the rapid evolution of programming paradigms—also throughout professional life. At universities, workshops, or any software training events, efficient practical programming exercises are hampered by the heterogeneity of hardware and software setups of participants. Jupyter notebooks offer an attractive solution by providing a platform‐independent concept and allowing the combination of text‐editing, program execution, and plotting. Here, we document a growing library with dozens of Jupyter notebooks for training in seismology. The library is made “live” through a server that allows accessing and running the notebooks in the browser on any system (PC, laptop, tablet, smartphone), provided there is internet access. The library seismo‐live contains notebooks on many aspects of seismology, including data processing, computational seismology, and earthquake physics, as well as reproducible papers and graphics. It is a community effort and is intended to benefit from continuous interaction with seismologists around the world.
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Matplotlib: A 2D Graphics Environment
John D. Hunter · Computing in Science & Engineering · 2007 · 39.6K citations
ObsPy: A Python Toolbox for Seismology
Moritz Beyreuther, R. Barsch, Lion Krischer et al. · Seismological Research Letters · 2010 · 1.8K citations
AxiSEM: broadband 3-D seismic wavefields in axisymmetric media
Tarje Nissen‐Meyer, Martin van Driel, Simon C. Stähler et al. · Solid Earth · 2014 · 291 citations · Full text