i.e., we cannot use floating-point or non-integer numbers in any of its arguments. Some ways of dealing with classic Python 2 division are better and more robust than others. Our code returns: 12.0. Almost all machines today (November 2000) use IEEE-754 floating point arithmetic, and almost all platforms map Python floats to IEEE-754 “double precision”. If you have numpy imported already, you can used its equivalent: import numpy as np np.random.uniform(a, b) # range [a, b) i am getting a feeling it is not possible, it didnt worked, same old problem, 'float' object not iterable – Swarup Rajbhandari Jul 3 '15 at 10:13 Well then it seems that there is … at the end tells us that our number has successfully been converted to a floating-point value.. In your specific case, you can use a list comprehension instead: [x * 0.1 for x in range(0, 10)] (Replace the call to range with that expression.) In Python 2, it's not so simple. The first gives the maximum number of objects allowed in a collection (e.g., maximum size of a list, dict, etc. To see the speed difference between the original range() and xrange() function, you may want to check out this article. You can get Python 3 division behavior in any given module with the following import at the top: from __future__ import division which then applies Python 3 style division to the entire module. Unfortunately the range() function doesn't support the float type. Python Division – Integer Division & Float Division. All thoretic restrictions apply, but in practice this is more useful than in theory. Converting a String to a Float in Python. Using float Numbers in range() Python’s range() function doesn’t support the float numbers. Python float() The float() method returns a floating point number from a number or a string. Python's range() can only do integers, not floating point. Sadly missing in the Python standard library, this function allows to use ranges, just as the built-in function range(), but with float arguments. We can easily implement it with a function. However don't get upset too soon! we can use only integer numbers. This problem is common in Data Science domain. While working with Python, we can have a problem in which we need to find mean of a list cumulative with float elements. For the more general case, you may want to write a custom function or generator. However, we can create a custom range function where we can use float numbers like 0.1 or 1.6 in any of its arguments. Python, 20 lines. In Python, a string is a sequence of characters. @Scott Griffiths: Not quite. Using floats with Python's range() function. sys.maxsize (introduced in Python 2.6) and sys.maxint are two different things. 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