<jupyter_start><jupyter_text>Matplotlib visualizations!<jupyter_code>%matplotlib inline
%config InlineBackend.figure_format = 'retina'

import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 1, 300)
for w in range(2, 6, 2):
    plt.plot(x, np.sin(np.pi*x) * np.sin(2*w*np.pi*x))<jupyter_output><empty_output><jupyter_text>Debugging<jupyter_code>%pdb
numbers = 'hello'
sum(numbers)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1411764705882353, 'fraction_numerical': 0.021176470588235293, 'mean_word_length': 8.063829787234043, 'pattern_counts': {'":': 0, '<': 9, '<?xml version=': 0, '>': 9, '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': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '5571', 'license': 'MIT', 'n_tokens_mistral': 186, 'n_tokens_neox': 181, 'n_words': 30, 'path': 'jupyter/Magic Keywords.ipynb', 'repo_name': 'awwong1/nd101', 'size': '425'}