This repository contains a series of tutorials to learn and play with the Xdas python library. Xdas is a Python library designed to facilitate the processing and analysis of DAS data.
This tutorial series aims to provide a comprehensive guide to using the Xdas library, from basic data manipulation to advanced analysis techniques.
You first need to setup an working environment. Then the tutorials are organized in a progressive manner, with each tutorial building on concepts introduced in the previous ones. It's recommended to go through them in order.
Clone it from this repository:
git clone https://github.com/xdas-dev/tutorials.git
cd tutorials
To reset the folder to initial state you can do:
git reset --hard HEAD
You can also fetch latest updates by:
git pull
We recommend to use conda to create an isolated environment:
conda config --add channels conda-forge
conda create -n xdas-tutorials
conda activate xdas-tutorials
conda install pip --yes
Xdas is a pure python package. It can easily be installed with pip from PyPI:
pip install xdas
This series of tutorials also require additional libraries
pip install notebook seisbench
Some samples are gracefully provided by the ABYSS project. You can download them from zenodo:
wget https://zenodo.org/records/11212055/files/data.zip
unzip data.zip
rm -rf outputs
mkdir -p outputs
You are ready to go!