Techniques

Speeding Up Your Code with Parallel Computing in Python

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Parallel computing is essential for handling large datasets efficiently. In this post, we explore Python's threading, multiprocessing, and joblib libraries to speed up code execution. Learn the differences between threading and multiprocessing, and understand how to use joblib for optimized parallel processing, especially with NumPy arrays.

Visualizing Seismic Data’s Power Spectral Density Using ObsPy

This article provides a comprehensive guide on utilizing ObsPy's PPSD class to visualize the Power Spectral Density (PSD) of seismic data. It details the process of importing necessary libraries, downloading seismic data, processing data with PPSD, and visualizing the PSD, using data from station PB.B075 as an example. This tutorial is beneficial for seismologists and researchers aiming to analyze seismic noise measurements and assess site quality.