<jupyter_start><jupyter_text>Lambda ExpressionsYou can use these to create functions on the fly<jupyter_code>f = lambda x:x*x

f(4)
f = lambda x, *args, y, **kwargs: (x, args, y, kwargs)
f(1, 'a','b', y=100, a=10, b=20)
f = lambda *args: sum(args)
f(1, 2, 3, 4, 5)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.18027210884353742, 'fraction_numerical': 0.047619047619047616, 'mean_word_length': 6.023809523809524, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, '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': '653739', 'license': 'MIT', 'n_tokens_mistral': 140, 'n_tokens_neox': 131, 'n_words': 38, 'path': 'Lambda Expressions.ipynb', 'repo_name': 'Nati-i/python-knowledge-repo', 'size': '294'}