## INTRODUCTION TO NUMPY FOR SCIENTIFIC COMPUTING

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

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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 discus some of the easiest way to insert equations

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...

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.

Plotting publishable quality maps using generic mapping tools (GMT)

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

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.