<jupyter_start><jupyter_text>Comparions Ops<jupyter_code>a = 1 
b = 2
a == b
a != b
a > b
a < b 
a >= b
a <= b<jupyter_output><empty_output><jupyter_text>Chained Comparision ops<jupyter_code>not a == b 
a > b and b < a 
b > a or a > b<jupyter_output><empty_output><jupyter_text>if elif else<jupyter_code># C/ c++ lang if else 

if ( a >b )
    {
        some statments 
    }
else 
    if (a < b){
        some statements
    }else
        if( a != b) {
        some sstamr
        }
else {
    some statment
}
    

if 1 > 2 :
    print(a)
    if True:
        print("this is true")
    else:
        print("this is False")
elif 2 > 1:
    print(b)
elif 1!=2:
    print(10)
else:
    print(0)
a = 1 
b = 2
c = 3
if a > b:
    print(a)
elif b > c:
    print(b)
elif c > b and c > a:
    print(c)
else:
    print("nothing")
#taking an input in Python 

num = int(input(" Enter any number : "))

print("number obtained is :",num)

import random 

num = random.randint(1,300)
print(num)
import random
num = int(input("Guess a number: "))
rnum = random.randint(1,100)
if num >= 1 and num <= 100:
    if num >= rnum+10 and rnum<= rnum-10:
        print("WARM")
    else:
        print("COLD")
else:
    print("OUT OF BOUNDS")
import random
num = int(input("Guess a number: "))
rnum = random.randint(1,100)
if num >= 1 and num <= 100:
    if num >= rnum+10 and rnum<= rnum-10:
        print("WARM")
    else:
        print("COLD")
else:
    print("OUT OF BOUNDS")<jupyter_output>Guess a number: 30
COLD<jupyter_text>For Loops<jupyter_code>list1 = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]
for element_of_list in list1:
    print(element_of_list)
else:
    print("I am done with printing numbers")
string = " I am in ITM NWIT FCS"
for letter in string:
    print(letter)
tuple1 = (1,2,3,4,5,6)
for tup in tuple1:
    print(tup)<jupyter_output>1
2
3
4
5
6<jupyter_text>While Loops<jupyter_code>x = 0

while x<10:
    print(x)
    x+=1
while True:
    print("Infinite")<jupyter_output>Infinite
Infinite
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I[...]
{'fraction_non_alphanumeric': 0.0950621430970776, 'fraction_numerical': 0.028552233792408465, 'mean_word_length': 3.780096308186196, 'pattern_counts': {'":': 0, '<': 27, '<?xml version=': 0, '>': 34, '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': '5', 'dir': 'jupyter-structured-clean-dedup', 'id': '236030', 'license': 'MIT', 'n_tokens_mistral': 1211, 'n_tokens_neox': 1161, 'n_words': 338, 'path': 'conditional Statements .ipynb', 'repo_name': 'Ajithkumar-GD/Python', 'size': '2977'}