<jupyter_start><jupyter_text>Formação Cientista de Dados - Prof. <NAME> e Pacotes<jupyter_code>import statistics 
z = [10,20,30,40]
x = statistics.mean(z)
y = statistics.median(z)
print(x)
print(y)
import statistics  as est
z = [10,20,30,40]
x = est.mean(z)
y = est.median(z)
print(x)
print(y)
from statistics import mean, median
z = [10,20,30,40]
x = mean(z)
y = median(z)
print(x)
print(y)
from statistics import *
z = [10,20,30,40]
x = mean(z)
y = median(z)
print(x)
print(y)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.16535433070866143, 'fraction_numerical': 0.06299212598425197, 'mean_word_length': 5.786666666666667, 'pattern_counts': {'":': 0, '<': 6, '<?xml version=': 0, '>': 6, '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': '191468', 'license': 'MIT', 'n_tokens_mistral': 244, 'n_tokens_neox': 224, 'n_words': 53, 'path': '1.Pratica em Python/scripts/5.ModulosPacotes.ipynb', 'repo_name': 'claytoncampos/Forma-o-Cientista-Dados', 'size': '524'}