Efficiently compute spectrogram for large dataset in python
Librosa can efficiently compute the spectrogram for large time series data in seconds. We will use that to plot the spectrogram using matplotlib
Utpal Kumar's Blog
"All about coding, methods, algorithms, and applications in the context of Earth Sciences"
Maximum likelihood estimation for the regression parameters
We will learn the basics of the maximum likelihood method, and then apply it ...
Solving boundary value problems using the shooting method
The boundary value problems require information at the present time and a fut...
Introduction to Earth Data Analysis
- Get Started
- Learn Git/Github for team collaboration
- Install Python via Anaconda
- Install Python IDE (Jupyter Notebook, Visual Studio Code)
- Python variables and data types
- Install and use Python packages
- Get familiar with Numpy for data manipulations
- Get familiar with Matplotlib for plotting arrays
- Get familiar with Pandas to analyze tabular data
- Get familiar with text file formats
- Use basic Markdown syntax to format text in Jupyter Notebook files
- Get familiar with text file formats - CSV, .txt, YAML
- Read/Write data from text files using Python
- Read/Write data from text files using Pandas
- Deal with missing data in Pandas
- Spatial Data Analysis
- Read multi-layered raster data (.tif / .hdf / .nc) in Python
- Read vector data (shapefiles) using geopandas
- GIS in Python
- Time-series Analysis using Pandas
- Read time-series data
- Work with
Datetimeformats - Resample time series
- Filtering/smoothing time-series with Pandas
- Plot time series
- How to plot topographic high-resolution geospatial maps
Numerical methods for scientific computation (see details)
Recent posts
How to overlay shapefile data on pygmt maps
We learn how to plot selected shapefile data using geopandas on top of PyGMT maps
Numerically solving initial value problems using the runge-kutta method
Runge-Kutta methods are most popular method to solve ordinary differential equations (ODEs) with a better approximation than the Euler method. We compare the...
Numerically solving initial value problems using the euler method
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 to plot shear-wave splitting measurements using pygmt
How you can plot the shear-wave splitting measurements from splitting database using PyGMT.
How to link unsplash images directly to your jekyll blog
How can you link unsplash images directly to your blog without hosting it locally.
How to extract station data from the web page
Uses pandas to read the html page and extract the html data into pandas dataframe
How to plot the earthquakes data on a topographic map
Read the earthquake data from a csv file and overlay on a topographic map using PyGMT.
How to automatically enquire the availability of seismic data using obspy
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...
How to implement the iterative newton–raphson method to find roots of a function in python
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...
How to host a http server on your linux computer to share files
Is the signal denoising using a wavelet effective? We will implement the wavelet-based signal denoising using the MATLAB
How effective is the signal denoising using the matlab based wavelet analysis
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...
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 ...
Efficiently compute spectrogram for large dataset in python
Librosa can efficiently compute the spectrogram for large time series data in seconds. We will use that to plot the spectrogram using matplotlib
How to overlay shapefile data on pygmt maps
We learn how to plot selected shapefile data using geopandas on top of PyGMT maps
Numerically solving initial value problems using the runge-kutta method
Runge-Kutta methods are most popular method to solve ordinary differential equations (ODEs) with a better approximation than the Euler method. We compare the...
Numerically solving initial value problems using the euler method
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 to plot shear-wave splitting measurements using pygmt
How you can plot the shear-wave splitting measurements from splitting database using PyGMT.
How to link unsplash images directly to your jekyll blog
How can you link unsplash images directly to your blog without hosting it locally.
How to extract station data from the web page
Uses pandas to read the html page and extract the html data into pandas dataframe
How to plot the earthquakes data on a topographic map
Read the earthquake data from a csv file and overlay on a topographic map using PyGMT.
How to automatically enquire the availability of seismic data using obspy
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...
How to implement the iterative newton–raphson method to find roots of a function in python
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...
How to host a http server on your linux computer to share files
Is the signal denoising using a wavelet effective? We will implement the wavelet-based signal denoising using the MATLAB
How effective is the signal denoising using the matlab based wavelet analysis
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...
