requirements.txt

##### Core packages
jupyter==1.0.0
matplotlib==3.0.3
numpy==1.16.2
pandas==0.24.2
scipy==1.2.1

##### Machine Learning packages
scikit-learn==0.22.2
Keras==2.2.4
tensorflow==1.13.1
tensorboard==1.13.1
# If you have a TF-compatible GPU and you want to enable GPU support, then
# replace tensorflow with tensorflow-gpu.

##### Statistics packages
statsmodels==0.9.0

##### Data Download packages
pandas-datareader==0.7.0
Quandl==3.4.8
xlrd==1.2.0
yfinance==0.1.50

##### Additional Visualization packages
plotly==3.10.0
seaborn==0.9.0

#The following additional packages are also used in the case studies. 
#However, the following packages are commented as the installation is time taking and they will be installed from the jupyter notebook of the case studies. 
#Uncomment these in case you want to install them from the requirement.txt file

##### NLP packages - used in chapter 10
#textblob==0.15.3
#spacy==2.1.9
#nltk==3.4
#en-core-web-lg==2.1.0
#en-core-web-sm==2.1.0
#ChatterBot==1.0.5
#chatterbot-corpus==1.2.0

##### Additional NLP Packages - used in examples/case studies in chapter 10

#openpyxl==2.6.1
#pyLDAvis==2.1.2
#pdfminer==20191125
#wordcloud==1.6.0
#gensim==3.8.2
#PyYAML==5.1


# Additional utilities used for robo-advisor case study in chapter 5
#dash==1.9.1
#dash-core-components==1.8.1
#dash-daq==0.4.0
#cvxopt==1.2.0