<jupyter_start><jupyter_text>Python Variable<jupyter_code>x=10
y=20
z=30
print(x)
print(y)
print(z)
p,q,r=25,50,75
print(p)
print(q)
print(r)

a="Mark"
A="Macapinlac"
print(a)
print(A)<jupyter_output>Mark
Macapinlac<jupyter_text>Casting<jupyter_code>f=float(100)
print(f)
i=int(100)
print(i)<jupyter_output>100.0
100<jupyter_text>Multiple Variables with One Value<jupyter_code>m = n = o = 1000
print(m)
print(n)
print(o)<jupyter_output>1000
1000
1000<jupyter_text>Operation in Python<jupyter_code>A = 5
B = 5
print(A+B)
print(A-B)
print(A*B)
A is B
A is not B
A>B or A<B<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.15166666666666667, 'fraction_numerical': 0.07166666666666667, 'mean_word_length': 9.362068965517242, 'pattern_counts': {'":': 0, '<': 15, '<?xml version=': 0, '>': 15, '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': '4', 'dir': 'jupyter-structured-clean-dedup', 'id': '5819', 'license': 'Apache-2.0', 'n_tokens_mistral': 337, 'n_tokens_neox': 299, 'n_words': 50, 'path': 'Demo1.ipynb', 'repo_name': 'Markhristian/CPEN-21A-ECE-2-1', 'size': '600'}