<jupyter_start><jupyter_text>MoviesIn this part of mini-project, we need to have our API-KEY ready because this API won't work without it.We encourage you to look for correct endpoints in [the documentation](https://developers.themoviedb.org/3/account). We can also play around with requests there before copying them to Python.  Demo<jupyter_code>base = "https://api.themoviedb.org/3"
url = "/search/movie"

query = 'titanic'
api_key = os.environ["<your api key name>"]
params = f'?query={query}&api_key={api_key}' 
res = requests.get(base+url+params)
res.status_code
res.json()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.12151067323481117, 'fraction_numerical': 0.003284072249589491, 'mean_word_length': 5.777777777777778, 'pattern_counts': {'":': 0, '<': 6, '<?xml version=': 0, '>': 6, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '466860', 'license': 'MIT', 'n_tokens_mistral': 207, 'n_tokens_neox': 200, 'n_words': 59, 'path': '.ipynb_checkpoints/mini-project-I-part-II-checkpoint.ipynb', 'repo_name': 'ryanhao1115/London_Transport_Analysis', 'size': '609'}