Since python 3.6 there is a new way to create and use virtual environments. The old way was by:
Installing virtualenv:
sudo apt install virtualenv
and then create environments in a given folder by:
cd /home/user/environments
virtualenv -p python2 tensorflow2
virtualenv -p python3 tensorflow3
then activating by:
source ./bin/activate
and finally at the end of the usage deactivate by:
deactivate
Since python 3.6 you can use venv module:
To create a virtual environment:
python3 -m venv tensorflow2
python3 -m venv tensorflow3
Activation is done by:
source tensorflow3/bin/activate
The requirement management with pip is the same as the virtualenv. With pip freeze you can get list of all requirements:
bash
(tensorflow2) $ pip freeze > requirements.txt
(tensorflow2) $ cat requirements.txt
Install new modules is done by:
```bash
(tensorflow2) $pip install numpy
With a specific version:
(tensorflow2) $pip install pandas==0.19.0
View information for a given package:
(tensorflow2) $pip show pandas
View all installed dependencies by:
(tensorflow2) $pip list
if you don't see the virtual environment name then you are not using this virtual environment:
(tensorflow2) $ pip list
not using:
$ pip list
Deleting or removing virtual environment is done the same way by:
- Deactivate the environment
- Delete it with:
$ rm -rf tensorflow2