45 lines
1.3 KiB
Plaintext
45 lines
1.3 KiB
Plaintext
# First make sure to update pip:
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# $ sudo pip install --upgrade pip
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#
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# Then you probably want to work in a virtualenv (optional):
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# $ sudo pip install --upgrade virtualenv
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# Or if you prefer you can install virtualenv using your favorite packaging system. E.g., in Ubuntu:
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# $ sudo apt-get update && sudo apt-get install virtualenv
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# Then:
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# $ cd $my_work_dir
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# $ virtualenv my_env
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# $ . my_env/bin/activate
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#
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# Next, optionally uncomment the OpenAI gym lines (see below). If you do, make sure to install the dependencies first.
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#
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# Then install these requirements:
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# $ pip install --upgrade -r requirements.txt
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#
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# Finally, start jupyter:
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# $ jupyter notebook
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#
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jupyter==1.0.0
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matplotlib==1.5.3
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numexpr==2.6.1
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numpy==1.12.0
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pandas==0.19.1
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Pillow==3.4.2
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protobuf==3.0.0
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psutil==5.0.0
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scikit-learn==0.18.1
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scipy==0.18.1
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sympy==1.0
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tensorflow==1.0.0
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# Optional: OpenAI gym is only needed for the Reinforcement Learning chapter.
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# There are a few dependencies you need to install first, check out:
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# https://github.com/openai/gym#installing-everything
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#gym[all]==0.5.4
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# If you only want to install the Atari dependency, uncomment this line instead:
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#gym[atari]==0.5.4
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# Optional: these are useful Jupyter extensions, in particular to display
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# the table of contents.
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https://github.com/ipython-contrib/jupyter_contrib_nbextensions/tarball/master
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