To get started, you will need to install Anaconda and create an environment with some Python Modules related to our demonstration. You will also want to download the DAS data so as to run the code.
This tutorial is written in the programming language of Python. We create this tutorial based on Jupyter Notebook, which is a web-based interactive computing platform. To get access to Jupyter Notebook, we recommend you to install the open-source distribution of Python called Anaconda.
A.yml file is provided in order to create a Python environment using conda to run the correspondeding .ipynb file. This environment can be created by excuting the following command:
conda env create -f env_das.yml
After generating this environment, you may activate it use:
conda activate um_das_intro
To launch Jupyter Notebook, just run:
jupyter notebook
If you never used globus before, try:
- Create a globus ID
- Install Globus Connect Personal
- Download data
DASworkshop folder in Globus includes DAS data we used for this demo. You could also get access to more DAS data in PubDAS folder. More details about PubDAS can be found in the paper.