If one defines which version of python to use in a bash script, it would be
export PYTHON = "/path/python/python-3.5.1/bin/python"
But for Python virtualenv's, one executes these commands in the command line
cd /path/pathto/virtualenv
source activate
cd another_directory
How does one "enter" a Python virtualenv in a bash script? What is the standard approach here?
To re-enter the virtual environment, simply use the 'source' command as you did in step #3 of these instructions and you will re-enter the virtual environment where you last left it, and the files and packages contained inside it will be there.
We have to distinguish two cases here:
How does one "enter" a Python virtualenv in a bash script?
Just like on the interactive bash command line:
source /path/to/the/virtual_env/bin/activate
What is the standard approach here?
The standard approach is not to enter the virtualenv in a bash script. Instead, call python and/or the python-based commands you want to use by their full path. To make this easier and less repetitive, you can use aliases and variables.
There already is such a script. It's called activate
and it's located in the bin
directory of the virtualenv. You have to source
it rather than calling it like a normal command. Only then will it run in the same session instead of in a subshell, and thus only then can it make modifications to the session that won't be lost due to the subshell terminating at the end of the script.
So just do:
source /path/to/the/virtual_env/bin/activate
in your interactive shell session.
But what if you want to do more than the activate
script does? You can put
source /path/to/the/virtual_env/bin/activate
into a shell script. But, due to the reason mentioned above, it won't have much effect when you call your script normally. Instead, source
your script to use it from an interactive session.
Thus:
Content of my_activate.sh
#!/bin/bash
# Do something
# ...
# then
source /path/to/the/virtual_env/bin/activate
# Do more stuff
# ...
and in your interactive session
source my_activate.sh
I recommend using virtualenvwrapper. It provides some useful tools for managing your virtual environments.
pip install --user virtualenvwrapper
When you create the virtual environment, you specify which version of python should be used in the environment.
mkvirtualenv -p /usr/local/bin/python2.6 myproject.2.6
mkvirtualenv -p /usr/local/bin/python3.3 myproject.3.3
Then, "enter" the environment with the workon command.
workon myproject.2.6
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