Jan 3, 2016 · I'm trying to make the following function output the correct answer, but the 'rightSide' variable is being made as an integer, and doesn't have any decimals. def G(mass1, mass2, radius, force):

Python is a strongly-typed dynamic language, which associates types with values, not names.If you want to force callers to provide data of specific types the only way you can do so is by adding explicit checks inside your function.

Mar 15, 2015 · When you are doing physics simulations you should definitely use floats for everything.0 is an integer constant in Python, and thus np.tile creates integer arrays; use 0.0 as the argument to np.tile to do floating point arrays; or preferably use the np.zeros(N) instead:

This is actually two questions with different answers. 1: double precision values in python are floats, and 2: a better precision data type than float would be decimal. Can questions like this be split somehow? The accepted answer addresses #2, but most upvoted answer addresses #1. –

I read each one, and once I convert them to float and append them to a list. Now in Python 2, calling float(-3.65) returns -3.65. In Python 3 however, float(-3.65) returns -3.6499999999999999 which loses its precision. I want to print the list of floats, [-3.6499999999999999, 9.1699999999999999, 1.0] with 2 decimal points only.

Aug 23, 2024 · The first two are native i.e. require no dependency. np.inf requires the Numpy package.float('inf') is a bit hacky as it involves parsing a string, but on the upside it does not even require an import and the parsing is typically computationally negligible.

May 1, 2021 · The problem I run into is that python does the division indicated by backslash and since the two numbers are integers, the result is 0. Even if I convert my input into a float the result is 0.0. Here is my code for reference: #!/usr/bin/env python exam1=float(input("Input the first test score in the form score/max:"))

I've had problems with using variables in f strings. When all else fails, read the manual :) "A consequence of sharing the same syntax as regular string literals is that characters in the replacement fields must not conflict with the quoting used in the outer formatted string literal."

Aug 6, 2020 · In the most upvoted answer to the question Double precision floating values in Python? it is mentioned that we can use np.float128, if we need precision more than standard float. But I couldn't find a way to do this. Then, in the most upvoted answer to how to declare variable type, C style in python, use of typing is suggested.

Jan 19, 2009 · Python 2.7 and 3.1 use the same length of str() although the repr() is fixed. Some old versions of Numpy had also excessive invalid digits, even with fixed Python. The current Numpy is fixed. Python versions >= 3.2 have the same results of str() and repr() function and also output of similar functions in Numpy.