print('This is a demo of Juniper.')
text1 = "It's a JS library for running code in your "
text2 = "browser, via Jupyter kernels provided by {}."
print(text1 + text2.format('Binder'))

# it starts a Docker container from a pre-built image
# so you can pre-install any libraries
import spacy

nlp = spacy.load('en_core_web_sm')  # spaCy models!
doc = nlp(u"This is a sentence.")
for token in doc:
    print(token.text, token.pos_)

# because it's a Jupyter environment, you can
# use the built-in IPython functions

from IPython.core.display import display, HTML
html = "<img src='https://i.imgur.com/A2g43BD.jpg'/>"
display(HTML(html))

# you can also just output stuff
def some_function(some_arg):
    return some_arg

some_function([1, 2, 3, 4])

# this code contains an error, so Jupyter will complain
some_string = 'hello world'
some_int = 1234
print(some_string + some_int)