Context
As introduced in this article, your WEkEO JupyterHub session is initialized with default conda environments that are reset after each session restart.
However, any custom environment you may create will be persisted! 😃
Here are the few commands to execute to create your own environment.
Step by step Guide
Step 1. Create the environment
In the terminal, in the base environment, create your environment by setting its name:
conda create --name <env-name> ipykernel
Step 2. Activate the new environment
Activate the new environment:
conda activate <env-name>
You are now in your newly created environment, the line in the terminal begins with:
(<env-name>) jovyan@jupyter-<your-username>:~$
Step 3. Add the new kernel
Add the kernel and set the environment:
python -m ipykernel install --user --name <env-name>
Step 4. Refresh the page
Refresh the page for the changes to be taken into account.
Congrats!
You are now able to pick your own environment in the JupyterHub launcher! 🙌
📌Note: opening a launcher tab, you will need to select between two kernels in order to create a new empty Jupyter notebook.
Create a specific environment to use HDA
The Harmonized Data Access (HDA) is an API developed by WEkEO for downloading data in a programming approach.
After creating an environment from scratch as seen in previous section, we invite you to install the hda Python package in your new environment:
pip install hda
🔍 Please check the following article to learn more on how to use the HDA:
What's next?
We are user-driven and we implement users' suggestions, so feel free to contact us:
through a chat session available in the bottom right corner of the page
via our contact webpage
via e-mail to our support team (supportATwekeo.eu)
Regardless of how you choose to contact us, you will first be put in touch with our AI Agent Neo. At any time, you can reach a member of the WEkEO User Support team by clicking on "talk to a person" via chat, or by naturally requesting it in reply to Neo's email.