![]() ![]() When the python environment is active every subsequent package that is installed using the conda install command will only be install in the active environment, thus keeping all other Python installations clean. conda create -name MyEnvName python=3.7 -c conda-forgeĪctivate the conda environment. Install Miniconda and use the conda cli to create a new python environment. Conda is also a package management tool like pip, but with better dependency solving during package installation. However we will use conda to create an python environment. It is possible to create python environments using tools such as virtualenv or the build in module venv. ![]() You should always create a seperate python environment wich will serve as the environment hosting JupyterLab. In order to avoid breaking existing python installations in terms of dependencies. In order to start using JupyterLab you need to have python install on you machine.
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