Read and write text files in Modern Fortran
We will read and write text and numeric data into a file using modern fortran.
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 will read and write text and numeric data into a file using modern fortran.
We will see how we can use amazon web services, specifically amazon polly to convert any text into a speech
Recent technical articles on seismic analytics, scientific computing, numerical modeling, and production data workflows.
If you have recently bought a M1 mac and have been doing blogging using Jekyll, then you must have experienced that installing Jekyll on the M1 architecture ...
We learn how to write a Makefile to automate the compilation of our source code. We will use one example from Fortran.
We will learn the basics of the maximum likelihood method, and then apply it on a regression problem. We will also compare it with the least-squares estimati...
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.
If you have recently bought a M1 mac and have been doing blogging using Jekyll, then you must have experienced that installing Jekyll on the M1 architecture ...
We learn how to write a Makefile to automate the compilation of our source code. We will use one example from Fortran.
We will learn the basics of the maximum likelihood method, and then apply it on a regression problem. We will also compare it with the least-squares estimati...
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.