//to create the virtual environment in windows
python -m venv env
// or
python3 -m venv env
//to activate virtual environment in windows
source env/Scripts/activate
//to disable virtual environment in windows
deactivate
Install venv with this command:
pip install virtual env
Create a directory and type the following command in terminal:
python -m venv virtual <-- "The last word in command is the name of the venv, you can call it whatever you want."
Activate virtual environment:
source virtual/bin/activate
//create the virtual environment for Mac and Linux
python -m venv env
// or
python3 -m venv env
//activate virtual environment for Mac and Linux
source env/bin/activate
# to activate the virtual environment, type:
.venvScriptsactivate
# into the terminal.
# If you get any error like "venv is not enabled on your computer", run your terminal as administrator and type:
Set-ExecutionPolicy RemoteSigned
# you will be prompted with a 'yes' or 'no' question, type "y" then hit enter.
# then try to activate the virtual environment, it will work
# First install virtualenv
!pip3 install virtualenv
# Go to the desired directory which you wish you run your virtual environment.
cd project_directory
# create a virtual environment called my_virtualenv
virtualenv my_virtualenv
### to run the virtual environemt run "activate" as in the following command
.my_virtualenvScriptsactivate
Create a directory
$ mkdir Dev
Move in the directory
$ cd Dev
You can also create a sub directory
$ mkdir penv
Create the virtual environment
$ python3.6 -m venv .
Note that the period '.' signifies that the virtual envrionment is being create in the
present directory not a sub directory
To activate the virtual environment
$ source bin/activate
To exit the virtual environment
$ deactivate
#open directory with terminal where you crated vertual environment
#python3 -m venv data_analysis_env
#example your venv name <visualscrapy>
teamspirit:~$ cd visualscrapy
#teamspirit:~/visualscrapy$ <-- output
#Now type bellow command
source ./bin/activate
#(visualscrapy) teamspirit:~/visualscrapy$ <-- output
#conda activate your_environment_name, e.g. let's assume our environment name is Tensorflow
conda activate Tensorflow
#And to deactivate, just replace activate with deactivate: e.g.
conda deactivate Tensorflow
(tutorial-env) $ pip search astronomy
skyfield - Elegant astronomy for Python
gary - Galactic astronomy and gravitational dynamics.
novas - The United States Naval Observatory NOVAS astronomy library
astroobs - Provides astronomy ephemeris to plan telescope observations
PyAstronomy - A collection of astronomy related tools for Python.
...
(tutorial-env) $ python -m pip install novas
Collecting novas
Downloading novas-3.1.1.3.tar.gz (136kB)
Installing collected packages: novas
Running setup.py install for novas
Successfully installed novas-3.1.1.3