requirements.txt

##### Kaggle
kaggle==1.4.7.1

##### Core scientific packages
jupyter==1.0.0
matplotlib==2.2.2
numpy==1.14.3
pandas==0.23.4
scipy==1.1.0
seaborn==0.9.0
Cython==0.28.5


##### Machine Learning packages
scikit-learn==0.20.0

# Optional: the XGBoost library is only used in the ensemble learning chapter.
xgboost==0.71


##### Deep Learning packages
# Forcing bleach to 1.5 to avoid version incompatibility when installing
# TensorBoard.
bleach==3.1.4

Keras==2.1.6


# 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


##### Image manipulation
imageio==2.3.0
Pillow==6.2.0
scikit-image==0.13.1


##### Extra packages (optional)

# Nice utility to diff Jupyter Notebooks.
nbdime==0.4.1

# May be useful with Pandas for complex "where" clauses (e.g., Pandas
# tutorial).
numexpr==2.6.5

# Optional: these libraries can be useful in the classification chapter,
# exercise 4.
nltk==3.4.5
urlextract==0.8.3

# Optional: this extension is handy to easily start/stop tensorboard
# server(s) directly from Jupyter.
jupyter-tensorboard==0.1.6

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

# Modin
modin==0.2.2