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https://github.com/triqs/dft_tools
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67 lines
1.9 KiB
ReStructuredText
67 lines
1.9 KiB
ReStructuredText
.. _python_install:
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Python and the scientific python tools
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====================================================
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On some machines, not all the necessary scientific python tools are present
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(e.g. old distribution, computation centers, etc....), or not in the right version.
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There is a way to efficiently solve this issue (other than recompiling your own python, and
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all the libs, which is painful) and specially **avoiding any upgrade on your system** (which
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is crucial on cluster machines e.g.).
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.. _virtualenv:
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.. highlight:: bash
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Using virtualenv to install/upgrade some python packages locally
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----------------------------------------------------------------------------
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In the frequent cases where only one or two packages are missing, there is a simple solution
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called virtualenv.
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Principle
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^^^^^^^^^^^^
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virtualenv is a python package that allow you to install in your home a simple copy (or mirror)
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or python, and install and upgrade some packages for you, without touching the systems.
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.. warning:: This works as long as the other dependencies of the packages on e.g. C++ libraries are satisfied.
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Usage
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^^^^^^^^
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* First install virtualenv, or ask the system manager to do it.
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On ubuntu ::
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sudo apt-get install python-virtualenv
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* To create a new python in your home, do e.g. ::
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virtualenv ~/.my_python --system-site-packages
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This create in ~/.my_python a clone of the python of the system, with its packages.
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You can then use it with ::
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~/.my_python/bin/python
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* To make this your default python, just add in your ~/.bash_aliases (or bashrc) ::
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source $HOME/.my_python/bin/activate
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Then (reopen your terminal ...) ::
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which python
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should return typically::
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/home/ME/.my_python/bin/python
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* You can install any python package for this local python installation, e.g. ::
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easy_install --upgrade ipython
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and you have the latest ipython notebook....
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