Debian/Ubuntu Linux
⚠️ We do not support Linux systems that run on ARM processors due to being unsupported for some of our underlying packages.
Installing on Linux simply requires Python 3.8 or 3.9 and pip
:
apt updateapt install python3.8 pip
Our recommendation is to install and use Bitfount in a virtual environment, so install virtualenv
and activate it first:
pip install virtualenvpython -m venv <path_to_virtual_environment>source <path_to_virtual_environment>/bin/activate
Then you can use pip to install bitfount
:
pip install bitfount
If you are planning on using the bitfount
package with Jupyter Notebooks we recommend you install extra tutorial dependencies via bitfount[tutorials]
, which will make sure you are running compatible Jupyter dependencies.
pip install "bitfount[tutorials]"
Next Steps
Once you’ve installed Bitfount, the party who will provide the data for analysis must connect the data to a Pod. See For Data Custodians for detailed instructions.
If data is already connected to a Pod for analysis and you wish to train models on or query it, see For Data Scientists.