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Once you are in the directory where you would like the environments to live, you can create an environment by running the following command:
python3 -m venv env_nameor alternative:
virtualenv env_nameEssentially, this sets up a new directory that contains installed libraries separated from the rest of the operating system. By running the virtual environment we can also define exact versions of those libraries but also the version of a python interpreter
Together, these files work to make sure that your projects are isolated from the broader context of your local machine, so that system files and project files don’t mix. This is good practice for version control and to ensure that each of your projects has access to the particular packages that it needs.
To use and activate the environment run the following command, it will read (source) the activate script
source env_name/bin/activateYour terminal prompt will now be prefixed with the name of your environment, in this case it is called env_name.
This prefix lets us know that the environment env_name is currently active, meaning that when we create programs here they will use only this particular environment’s settings and packages.
When doing a project within virtual environment you should have a file with listed [[01_Reference/software tools/requirements file|requirements]]. Tools like [[pip]] can create it but also install from it very easily.
To leave the environment, simply type the command deactivate and you will return to your original directory.
Every second is a valuable, unrepeatable treasure.
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