spaCy.py

import spacy
from nltk.tokenize import word_tokenize
# loading english language model of spaCy
en_model = spacy.load('en_core_web_sm')
# gettign the list of default stop words in spaCy english model
stopwords = en_model.Defaults.stop_words

sample_text = "Oh man, this is pretty cool. We will do more such things."
text_tokens = word_tokenize(sample_text)
tokens_without_sw= [word for word in text_tokens if not word in stopwords]

print(text_tokens)
print(tokens_without_sw)