# First make sure to update pip:
#     $ sudo pip install --upgrade pip
#
# Then you probably want to work in a virtualenv (optional):
#     $ sudo pip install --upgrade virtualenv
# Or if you prefer you can install virtualenv using your favorite packaging
# system. E.g., in Ubuntu:
#     $ sudo apt-get update && sudo apt-get install virtualenv
# Then:
#     $ cd $my_work_dir
#     $ virtualenv my_env
#     $ . my_env/bin/activate
#
# Next, optionally uncomment the OpenAI gym lines (see below).
# If you do, make sure to install the dependencies first.
#
# Then install these requirements:
#     $ pip install --upgrade -r requirements.txt
# 
# Finally, start jupyter:
#     $ jupyter notebook
#


##### Core scientific packages
jupyter==1.0.0
matplotlib==2.2.2
numpy==1.14.2
pandas==0.22.0
scipy==1.0.1

# Optional: these are useful Jupyter extensions, in particular to display
# the table of contents.
jupyter-contrib-nbextensions==0.5.0


##### Machine Learning packages
scikit-learn==0.19.1


##### Deep Learning packages

# Replace tensorflow with tensorflow-gpu if you want GPU support.
# You also need to install CUDA, cuDNN and more, see tensorflow.org for the
# detailed installation instruction.
tensorflow==1.7.0

Keras==2.1.5

# Optional: OpenAI gym is only needed for the Reinforcement Learning chapter.
# There are a few dependencies you need to install first, check out:
# https://github.com/openai/gym#installing-everything
#gym[all]==0.10.5
# If you only want to install the Atari dependency, uncomment this line instead:
#gym[atari]==0.10.5


##### Extra utilities
bleach==1.5.0
nbdime==0.4.1
numexpr==2.6.4
Pillow==5.1.0
psutil==5.4.3
sympy==1.1.1