spacy1.py

from spacy.lang.en import English

# Load English tokenizer, tagger, parser, NER and word vectors
nlp = English()

text = """Founded in 2002, SpaceX’s mission is to enable humans to become a spacefaring civilization and a multi-planet 
species by building a self-sustaining city on Mars. In 2008, SpaceX’s Falcon 1 became the first privately developed 
liquid-fuel launch vehicle to orbit the Earth."""

#  "nlp" Object is used to create documents with linguistic annotations.
my_doc = nlp(text)

# Create list of word tokens
token_list = []
for token in my_doc:
    token_list.append(token.text)
token_list