When python compares float and int created from the same int number should be equal like 

int(1) == float(1)

but from 9007199254740993 this is not true. 

int(9007199254740993) == float(9007199254740993) is not true. The same behavior is for bigger odd numbers. The even numbers are still equal. So it looks like:

int(9007199254740989) == float(9007199254740989) # True
int(9007199254740990) == float(9007199254740990) # True
int(9007199254740991) == float(9007199254740991) # True
int(9007199254740992) == float(9007199254740992) # True
int(9007199254740993) == float(9007199254740993) # False
int(9007199254740994) == float(9007199254740994) # True
int(9007199254740995) == float(9007199254740995) # False
int(9007199254740996) == float(9007199254740996) # True
int(9007199254740997) == float(9007199254740997) # False
int(9007199254740998) == float(9007199254740998) # True

Python floats have 53 bits of precision, so ints larger than 2**53 will lose their lower bits (assumed to be 0) when converted.

Further to what Matthew said, this is not just a Python oddity. It applies to just about all programming languages, including C, C++, Java, Javascript, Ruby, etc. Some of them have even less precision by default.

Floats are not the same as the real numbers you learned about in school. There is a huge amount of resources about the limitations of floating point arithmetic on Stackoverflow etc which can be found by googling. A good place to start is the Python FAQs and tutorial:

https://docs.python.org/3/faq/design.html#why-are-floating-point-calculations-so-inaccurate

https://docs.python.org/3/tutorial/floatingpoint.html#tut-fp-issues