<jupyter_start><jupyter_text><jupyter_code>a = 5
b = 4
print(a, b)
tasizan = a + b
hikizan = a - b
kakezan = a * b
warizan = a / b
ruijou = a ** b
amari = a % b
print(tasizan, hikizan, kakezan, warizan, ruijou, amari)
# 文字列
c = 'moji'
print(c)
# クオテーションで囲まないと
d = moji
print(d)
for i in range(1, 11):
    print(i)
for i in range(1, 11, 3):
    print(i)
    print('繰り返し中')
print('繰り返し終わり')
for i in range(1,11):
    if i == 3:
        print('3です')
    elif i == 6:
        print('6です')
    else:
        print(i)
for i in range(1,101):
    if i%3 == 0 and i%5 == 0:
        print("FizzBuzz")
    elif i%3 == 0:
        print("Fizz")
    elif i%5 == 0:
        print("Buzz")
    else:
        print(i)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.16598079561042525, 'fraction_numerical': 0.038408779149519894, 'mean_word_length': 2.4761904761904763, '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': '323135', 'license': 'MIT', 'n_tokens_mistral': 375, 'n_tokens_neox': 352, 'n_words': 88, 'path': 'notebook/Python02.ipynb', 'repo_name': 'wkt84/emt-python', 'size': '729'}