Autoencoders for Seismic Waveforms: Compress, Learn, and Generate
Autoencoders learn compact representations by reconstructing seismic data. This tutorial explains their use...
Utpal Kumar, PhD
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- 144+ Posts
- 12 Topics
- Jul 2026 Updated
Caffeinate On and Off Controls for macOS with Alfred and SwiftBar
A compact macOS setup with two Alfred workflows for turning caffeinate on and off, plus SwiftBar for keepin...
Recent posts
Recent technical articles on seismic analytics, scientific computing, numerical modeling, and production data workflows.
How to read tabular data from a text file in fortran
A step-by-step Fortran program to read a formatted tabular Earth-model file — count the rows, allocate arrays, then read the columns and find the discontinui...
How to deal with irregularly sampled time series data
While analyzing time series data, we often come across data that is non-uniformly sampled, i.e., they have non-equidistant time-steps. Infact, most of the re...
The easiest way to publish a python package on pypi using poetry
We will learn how to use the poetry package to create, manage, build and publish Python package on PyPI
How to plot earthquakes data on a three-dimensional topographic map
Read the earthquake data from a data file and overlay on a three-dimensional topographic map using PyGMT.
Encrypt your data and software with python
Learn to encrypt and decrypt any files, data or software with python
Perform distributed computing easily using ray in python
We will introduce the concepts of distributed computing and then use the open-source Python library Ray to write scalable codes that can work on distributed ...
Using dask python library to read a huge global earthquake catalog file
We will see how we can read a large data file with earthquake catalog in Python using the Dask library
Convolution of waveforms using python compared to matlab
We will see compare the convolution functions in Python (Numpy) with the conv function in MATLAB. If you have tried them both then you would know that its no...
Read and write text files in modern fortran
We will read and write text and numeric data into a file using modern fortran.
Convert any text to lifelike speech using amazon polly
We will see how we can use amazon web services, specifically amazon polly to convert any text into a speech
How to install jekyll on apple m1 macbook
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 ...
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 from Fortran.
Maximum likelihood estimation for the regression parameters
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...
Solving boundary value problems using the shooting method
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 ...
How to read tabular data from a text file in fortran
A step-by-step Fortran program to read a formatted tabular Earth-model file — count the rows, allocate arrays, then read the columns and find the discontinui...
How to deal with irregularly sampled time series data
While analyzing time series data, we often come across data that is non-uniformly sampled, i.e., they have non-equidistant time-steps. Infact, most of the re...
The easiest way to publish a python package on pypi using poetry
We will learn how to use the poetry package to create, manage, build and publish Python package on PyPI
How to plot earthquakes data on a three-dimensional topographic map
Read the earthquake data from a data file and overlay on a three-dimensional topographic map using PyGMT.
Encrypt your data and software with python
Learn to encrypt and decrypt any files, data or software with python
Perform distributed computing easily using ray in python
We will introduce the concepts of distributed computing and then use the open-source Python library Ray to write scalable codes that can work on distributed ...
Using dask python library to read a huge global earthquake catalog file
We will see how we can read a large data file with earthquake catalog in Python using the Dask library
Convolution of waveforms using python compared to matlab
We will see compare the convolution functions in Python (Numpy) with the conv function in MATLAB. If you have tried them both then you would know that its no...
Read and write text files in modern fortran
We will read and write text and numeric data into a file using modern fortran.
Convert any text to lifelike speech using amazon polly
We will see how we can use amazon web services, specifically amazon polly to convert any text into a speech
How to install jekyll on apple m1 macbook
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 ...
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 from Fortran.
Maximum likelihood estimation for the regression parameters
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...
Solving boundary value problems using the shooting method
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 ...