How Does Python Handle Integer Data Type Limits Compared to Java?

Int Data Type Representation in Python

In Java, integers have specified minimum and maximum values, defined as Integer.MIN_VALUE and Integer.MAX_VALUE respectively. Python handles integers differently.

Python 3

In Python 3, there are no intrinsic limits for the int type. It represents unbounded integers, meaning they can grow as large or small as needed. Consequently, there is no equivalent to Integer.MIN_VALUE or Integer.MAX_VALUE.

However, you may be interested in the current interpreter's "word size," which affects the maximum value representable by a signed integer. This can be determined through sys.maxsize:

>>> sys.maxsize  # e.g., 9223372036854775807 on a 64-bit system

The maximum value for unsigned integers can be calculated as sys.maxsize * 2 1.

Python 2

In contrast to Python 3, Python 2 does have defined minimum and maximum values for plain integers. These can be accessed as follows:

• Maximum value: sys.maxint (e.g., 9223372036854775807 on a 64-bit system)
• Minimum value: -sys.maxint - 1

Python 2 seamlessly switches to "long integers" when plain integers are exceeded.

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