from IPython.display import Image
Image("../images/cell-tools-ipynb.png")
Image("../images/revealjs-ipynb.png")
def numgen(n):
num = 0
while num < n:
yield num
num += 1
sum(1 for _ in numgen(100_000))
100000
%matplotlib inline
import seaborn as sns
import matplotlib.pyplot as plt
iris = sns.load_dataset('iris')
g = sns.pairplot(iris, hue="species", markers=["o", "s", "D"], size=2)
plt.savefig("scatplt.png")