This tutorial gives a brief description of scientific computing using numpy b...
I used the sktime library to forecast the airline data using NaiveForecaster,...
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 ...
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 ...
