<jupyter_start><jupyter_text>Estudo de jupyter usando o VsCode  Markdown funcionando dentro do jupyter / python interactive Dá pra programar aqui dentro e exportar um estudo completo<jupyter_code>import pandas as pd
df = pd.read_csv("credit-data.csv")

df.describe()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.07432432432432433, 'fraction_numerical': 0.0, 'mean_word_length': 6.815789473684211, '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': '251262', 'license': 'MIT', 'n_tokens_mistral': 109, 'n_tokens_neox': 105, 'n_words': 29, 'path': 'jnbs/teste.ipynb', 'repo_name': 'Felip38rito/DataSciencePython', 'size': '296'}