<jupyter_start><jupyter_text>Jupyter- Jupyter可以将代码和笔记联系起来，利用Markdown做笔记，可以使用Python等众多的kernel，边学习，边做笔记，  而且，这些代码片还可以再次修改，重复利用，重现当时的情景，另外，可以在此基础上，继续修改。<jupyter_code>print("hello world!")
x="hello jupyter"

for i in x:
    print(i+" ",end=" ")
    
print("\n"+x)
import matplotlib.pyplot as plt
import numpy as np

x=np.arange(20)

y=x**2

plt.plot(x,y)
%matplotlib inline<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.15037593984962405, 'fraction_numerical': 0.007518796992481203, 'mean_word_length': 7.695652173913044, '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': '50286', 'license': 'MIT', 'n_tokens_mistral': 225, 'n_tokens_neox': 241, 'n_words': 26, 'path': 'First Jupyter.ipynb', 'repo_name': 'prayjourney/on_the_way_ing', 'size': '399'}