How to create a simple Makefile in linux
We learn how to write a Makefile to automate the compilation of our source code. We will use one example fr...
Earth Inversion
Technical writing on geophysical pipelines, scalable data analysis, and reproducible research engineering.
Peer-reviewed work in seismology, structural health monitoring, and large-scale inversion.
End-to-end workflows for high-volume scientific data: ingestion, QC, feature extraction, and modeling.
Cloud and web platforms for real-time sensing, visualization, and operational analytics.
We learn how to write a Makefile to automate the compilation of our source code. We will use one example fr...
We will learn the basics of the maximum likelihood method, and then apply it on a regression problem. We wi...
Recent technical articles on seismic analytics, scientific computing, numerical modeling, and production data workflows.
The boundary value problems require information at the present time and a future time. We will see how we can use shooting method to solve problems where we ...
Librosa can efficiently compute the spectrogram for large time series data in seconds. We will use that to plot the spectrogram using matplotlib
We learn how to plot selected shapefile data using geopandas on top of PyGMT maps
Runge-Kutta methods are most popular method to solve ordinary differential equations (ODEs) with a better approximation than the Euler method. We compare the...
The simplest algorithm to solve a system of differential equations is the Euler method. We understand the Euler method by looking into a simple heat transfer...
How you can plot the shear-wave splitting measurements from splitting database using PyGMT.
How can you link unsplash images directly to your blog without hosting it locally.
Uses pandas to read the html page and extract the html data into pandas dataframe
Read the earthquake data from a csv file and overlay on a topographic map using PyGMT.
In this post, we will see how can we retrive the available seismic waveforms information for a given network, station, channel and client in a given period o...
The Newton–Raphson method (commonly known as Newton’s method) is developed for finding roots of a given function or polynomial iteratively. We show two examp...
Is the signal denoising using a wavelet effective? We will implement the wavelet-based signal denoising using the MATLAB
The boundary value problems require information at the present time and a future time. We will see how we can use shooting method to solve problems where we ...
Librosa can efficiently compute the spectrogram for large time series data in seconds. We will use that to plot the spectrogram using matplotlib
We learn how to plot selected shapefile data using geopandas on top of PyGMT maps
Runge-Kutta methods are most popular method to solve ordinary differential equations (ODEs) with a better approximation than the Euler method. We compare the...
The simplest algorithm to solve a system of differential equations is the Euler method. We understand the Euler method by looking into a simple heat transfer...
How you can plot the shear-wave splitting measurements from splitting database using PyGMT.
How can you link unsplash images directly to your blog without hosting it locally.
Uses pandas to read the html page and extract the html data into pandas dataframe
Read the earthquake data from a csv file and overlay on a topographic map using PyGMT.
In this post, we will see how can we retrive the available seismic waveforms information for a given network, station, channel and client in a given period o...
The Newton–Raphson method (commonly known as Newton’s method) is developed for finding roots of a given function or polynomial iteratively. We show two examp...
Is the signal denoising using a wavelet effective? We will implement the wavelet-based signal denoising using the MATLAB