entornos python
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| − | # Deactivating environment |
+ | # To know which packages are installed |
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| − | (py27env) $ deactivate |
+ | (py27env) $ pip freeze |
| − | $ |
+ | numpy==1.13.3 |
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| − | # To know which packages are installed |
+ | # Deactivating environment |
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| − | $ pip freeze |
+ | (py27env) $ deactivate |
| − | numpy==1.13.3 |
+ | $ |
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Revisión de 17:41 2 nov 2017
The generation of environments facilitate the specific requiremnts of each user for each purpose.
Following instructions from python environments
- Creation of the place where the environment will reside
mkdir -p {HOME}/bin/py27env
cd {HOME}/bin/py27env
- Install
virtualenv
$ pip install virtualenv
- Test installation
$ virtualenv --version
- Create a virtual environment (e.g `py27env' to be used with python 2.7):
$ virtualenv p /usr/bin/python2.7 ./
- Activate the environment
$ source bin/activate (py27env) $
- Installing packages
(py27env) $ pip install numpy Collecting numpy Using cached numpy-1.13.3-cp27-cp27mu-manylinux1_x86_64.whl Installing collected packages: numpy Successfully installed numpy-1.13.3
- To know which packages are installed
(py27env) $ pip freeze numpy==1.13.3
- Deactivating environment
(py27env) $ deactivate $
