<jupyter_start><jupyter_text>My Awesome Notes<jupyter_code>import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline

def lecture_coding_example(arg1, arg2):
    x = np.arange(0, 10, 0.01)
    return x, np.sin(arg1*x) + arg2

time, output = lecture_coding_example(3, 10)

figure = plt.plot(time, output)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.11304347826086956, 'fraction_numerical': 0.03768115942028986, 'mean_word_length': 5.92, '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': '31015', 'license': 'MIT', 'n_tokens_mistral': 145, 'n_tokens_neox': 136, 'n_words': 30, 'path': '{{cookiecutter.repo_name}}/notes/lesson1.ipynb', 'repo_name': 'jlmcgehee21/cookiecutter_omscs', 'size': '345'}