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#### How to plot the boundaries of the states on the basemap of the usa

We will plot the boundaries of the states of the USA on a basemap figure

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We will plot the boundaries of the states of the USA on a basemap figure

You will learn how to generate and set up an SSH key for github so that you don’t need to always type your username and password when accessing github repo.

We will see how to load shared libraries in C/C++. We will write a library to convert km to degrees and vice-versa. Then we create a utility program to conve...

We will see how to read a YAML file in Bash, C/C++ and Python.

Using multiple threads in C for concurrent process flow

We look into a quick overview of the idea of linked list data structure with some examples.

We will inspect the L-BFGS optimization method using one example and compare its performance with the gradient descent method

We will use the Python package to create beamer presentation and append existing figures to each slide

We will see how to plot a topographic map, overlay earthquake data on topographic maps, plot focal mechanism solutions and plot tomographic results on a geog...

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...

We will learn how to use the poetry package to create, manage, build and publish Python package on PyPI

Read the earthquake data from a data file and overlay on a three-dimensional topographic map using PyGMT.

Learn to encrypt and decrypt any files, data or software with 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 ...

We will see how we can read a large data file with earthquake catalog in Python using the Dask library

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...

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

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.

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

We see how to download seismic waveforms, convert them into mat format from mini-seed and then perform denoising using wavelet analysis. We first performed w...

Follow the instructions to make your python script executable from anywhere in Linux system.

Paramiko module can be used in Python to securely send data from the local client to the remote server. It is analogous to the SSH and SCP in Linux.

We will learn the basic concepts of wavelet tranform and multi-resolution analysis starting from the Fourier Transform, and Gabor Transform.

Empirical Orthogonal Functions analysis decomposes the continuous space-time field into a set of orthogonal spatial patterns along with a set of associated u...

I concatenate the daily seismic traces for 15 days into one miniseed file for further analysis. Then I obtained the spectrogram of the 15 days seismic data. ...

Read the seismic traces from the miniseed files and compute the cross-correlation and spectrogram

We will learn the basics of Fourier analysis and implement it to remove noise from the synthetic and real signals

We will learn the basics of Fourier analysis and implement it to remove noise from the synthetic and real signals

We will learn how to convert a mseed data file into mat format and then read and analyze it using MATLAB

Transfer learning using the pre-trained deep learning networks from MATLAB can be easily implemented to achieve fast and impressive results

In this introduction to the concepts of Pytorch data structures, we will learn about how to create and reshape tensors using Pytorch and compare it with the ...

We learn how to read huge csv file containing time series data by breaking it into chunks and then visualizing it with matplotlib

A PyQt5 application for retrieving and visualizing sound waveforms in real time. Codes included.

This tutorial gives a brief description of scientific computing using Pandas by introducing Series, DataFrame, Pandas common operations, methods, conditional...

This tutorial gives a brief description of scientific computing using numpy by introducing arrays, methods, attributes, random numbers, indexing, broadcastin...

I used the sktime library to forecast the airline data using NaiveForecaster, KNeighborsRegressor, Statistical forecasters, and auto ARIMA model.

We learn how to make the three-dimensional map using both GMT and PyGMT

An introduction to the wavelet analysis for a real geophysical data set. I compared the analysis to the Fourier analysis. Codes included!

GMT or generic mapping tools have become synonymous with plotting maps in Earth, Ocean, and Planetary sciences. It can be used for processing data, generatin...

What is the fastest and most efficient way to loop in Python. We found that the numpy is fastest and python builtins are the most memory efficient.

An introduction to the basics of genetic algorithm along with a simple numerical example and solution of an earthquake location problem

How can we use the MATLAB functions in Python? MATLAB implementation are usually reliable as it is developed by the professionals. But the advantages of usin...

In geophysics, it is important to understand and identify the complex and unknown relationships between two time-series. Cross-correlation is an established ...

The common geophysical problems most often have multimodal objective function with many possible minima. In this post, we will look into the Monte Carlo meth...

Quickly plot record section of a stream using Obspy. I will introduce you how to make a stream from a set of SAC data, plot the record section and store it a...

If you are ready to use the Microsoft Word as your favourite tool for writing your awesome scientific thoughts and ideas into a manuscript, then I would like...

A simple Python app for system CPU and RAM usage monitoring in real time. The app is build mainly using the PyQt5, pyqtgraph and psutil.

This post gives a quick introduction on how to build a web application using Flask and deploy on Heroku server. Then, I share my codes for building advanced ...

In this post, I will read a ASCII file whose first few lines contains the header information and then the three-component data. I will read using the pandas ...

Least-squares method is a popular approach in geophysical inversion to estimate the parameters of a postulated Earth model from given observations. This meth...

Parallel computing is quickly becoming a necessity. Modern computers comes with more than one process and we most often only use single process to do most of...

Codes for plotting advanced 2D plots using matplotlib library in Python. Includes simple 2D plot, error bars, bar graphs, histograms, multiple plots, etc

A signal has one or more frequency components in it and can be viewed from two different standpoints: time-domain and frequency domain. In general, signals a...

We pose a null hypothesis and enquire that given that the null hypothesis is true, how likely is the observed pattern of results? This likelihood is known as...

Most often data analyst consider correlation between two time-series as a causation effect. Two time-series are correlated that does not imply that one cause...

Numerical tests to understand the degrees of freedom in time series

Seismic resolution and fidelity are the two important measures of the quality of the seismic record and the seismic images. Seismic resolution quantifies the...

Simple earthquake location problem and its solution using Geiger’s method

Factor Analysis is an exploratory data analysis method used to search influential underlying factors or latent variables from a set of observed variables

This post is aimed to resolve the issues regarding the conflicts of using obspy and basemap libraries together.

Time-series analysis is essential in most fields of science, including geophysics, economics, etc. Most of the geophysical data comes in a time-series format...

The Generic Mapping Tools is widely used across Earth and Planetary and other fields of studies to process data and generate high-quality illustrations. This...

Obspy is an open-source Python framework developed for the processing of seismological data. In this post, I will introduce how to use Obspy along with some ...

We demonstrate how to model a simple wave, obtain its frequencies, apply Hilbert transform, and perform edge detection

NetCDF file format has been designed for storing multidimensional scientific data such as temperature, rainfall, humidity, etc. In this post, we will see how...

In this post, we will see how we can use Python to low-pass filter the 10 year long daily fluctuations of GPS time series. We need to use the “Scipy” package...

It is essential to insert equation numbers in your thesis and/or any scientific paper. In this post, I will show you some of the easiest ways to insert equat...

In Earth Sciences, we often deal with multidimensional data structures such as climate data, GPS data. It ‘s hard to save such data in text files as it would...

Ulysses is a natural, freestyle way of writing. If you got any idea, just write it down, worry about the format and other things when you’re done. Don’t let ...

A simple tutorial on how to plot high resolution topographic map using GMT tools in Python

Short demostration of how to plot the distance vs seismic waveforms and mark the P and S arrival times using the IASP91 earth model. Codes are included.

Short demonstration of how to plot the track or trajectory of a hurricane on a map. Codes are included.

Short demonstration of the ppsd class defined in Obspy using 3 days of data for station PB-B075

Some handy tweaks for mac like relocating default screenshot location, renaming batch files etc

Mac can be easily automated by the help of several tools such as automator, quick actions, applescripts

Shortcut code for quickly logging temperature in Apple health app

Python code to automatically plot the record section for the highest magnitude earthquake in the given time range

Quick action for mac to easily love, dislike, rate songs in apple music app

Introduction to the concepts of tomography with equations and codes. Introduction to the concepts of overdetermined, underdetermined and mix-determined probl...

We test for the correlation coefficients or the covariance between two sets of random numbers selected from normal distribution using the Monte Carlo simulat...

Visualize the statistics of the data using MATLAB: mean, median, std, interquartile range, skewness, kurtosis, t-statistic, degrees of freedom

Using Randomization to test the disprove the null hypothesis

This post demonstrate how to use Python to set up clip topographic map based on coastlines.

Generating GMT style shaded relief map in Python

In geosciences, we most frequently have to make geospatial plots, but the available data is unevenly distributed and irregular. We like to show the data, in ...

We read the station information from a file to plot the 1 arc-minute relief map

How to fit data to non-linear model

Plotting 1 arc-minute topographic map in python

Two time series with predominant linear trends (very low DOF) can have a very high correlation coefficient, which can hardly be construed as an evidence for ...

Plotting publishable quality maps using generic mapping tools (GMT)

A basic to advanced guide to making interactive plots in Bokeh.

Generators don’t hold the entire result in memory. It yields one result at a time.

Plotting publishable quality maps using generic mapping tools (GMT)

Tutorial on how to use Git and GitHub for team collaboration on a project. Content includes installing, setting up, creating a repository, making commits, un...

In this tutorial post, I give a quick demo of how to install Python (using anaconda) and then getting started with writing simple scripts.