entornos python
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# Creation of the place where the environment will reside |
# Creation of the place where the environment will reside |
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<pre> |
<pre> |
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− | mkdir -p {HOME}/bin/py27env |
+ | $ mkdir -p {HOME}/bin/py27env |
− | cd {HOME}/bin/py27env |
+ | $ cd {HOME}/bin/py27env |
</pre> |
</pre> |
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# Create a virtual environment (e.g `py27env' to be used with python 2.7): |
# Create a virtual environment (e.g `py27env' to be used with python 2.7): |
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<pre> |
<pre> |
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− | $ virtualenv p /usr/bin/python2.7 ./ |
+ | $ virtualenv -p /usr/bin/python2.7 ./ |
</pre> |
</pre> |
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Revisión de 17:14 8 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 $