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When adding an integer value to a float value, I realized that __add__ method is working fine if called on float, such as this:
>>> n = 2.0
>>> m = 1
>>> n.__add__(m)
3.0
but not if called on an integer:
>>> m.__add__(n)
NotImplemented
At first I thought that __add__ was just being implemented differently for int and float types (like float types accepting to be added to int types, but not the opposite). Then I noticed that everything works fine if I use the + operator instead:
>>> n + m
3.0
>>> m + n
3.0
Does anybody know why this is happening? Are __add__ and + not deeply related to each other?
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Numbers in Python exist in two chief forms: integers and floats. As noted in Lesson 02 , integers are numbers without a decimal point, whereas floats are numbers with a decimal point. This is am important distinction that you MUST remember, especially when working with data imported from and exported to Excel.
Example: How does float () work with Python? Float () is a method that returns a floating-point number for a provided number or string. Float () returns the value based on the argument or parameter value that is being passed to it. If no value or blank parameter is passed, it will return the values 0.0 as the floating-point output.
Python has built-in methods for converting between integers and floats. You can convert any decimal number, octal, hexadecimal or string to an int by using the int () function. For example: Float represents real numbers, a data type that is used to define floating decimal points.
This is how you would create various integers in Python: In Python 3 there are no different integer types as in Python 2.7, which has int and long int. In Python 3 there is only one integer type, which can store very large numbers. For example: Python has built-in methods for converting between integers and floats.
a + b does not directly translate to a.__add__(b). It also tries b.__radd__(a) if a.__add__ doesn't exist or returns NotImplemented, or if b is an instance of a subtype of a's type.
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