[Brief explanation of what this notebook is about (needs to be expanded when content is added)]
Exploratory notebook related to the theory and concepts behind []. Includes toy examples implementation and visualization.
[Possible first definition for the topic discussed]
In [ ]:
import numpy as np
import seaborn as sns
import pandas as pd
from matplotlib import pyplot as plt, animation
%matplotlib notebook
#%matplotlib inline
sns.set_context("paper")
In [ ]:
# interactive imports
import plotly
import cufflinks as cf
cf.go_offline(connected=True)
plotly.offline.init_notebook_mode(connected=True)