python float and double

In Python, there is no distinction between float and double as in some other programming languages. Python uses a floating-point representation to handle real numbers, and it internally uses the float type to represent floating-point numbers. The float type in Python conforms to the IEEE 754 standard for floating-point arithmetic.
Floating-point numbers in Python are used to represent real numbers and can have both integer and fractional parts. They are written with a decimal point or by using scientific notation. Here's a basic example:
In this example, float_number is a variable that stores a floating-point number.
Python supports scientific notation for expressing very large or very small floating-point numbers. It uses the letter 'e' to indicate the exponent.
You can perform various arithmetic operations with floating-point numbers just like with integers.
Floating-point numbers have limited precision due to the nature of their representation in computers. This can sometimes lead to unexpected results, especially when performing operations that involve very small or very large numbers.
To handle precision issues, you can use the round() function.
In Python, the float type is used to represent floating-point numbers, and there is no specific double type as in some other languages. Understanding the basics of floating-point representation, scientific notation, arithmetic operations, and dealing with precision issues is crucial when working with floating-point numbers in Python. Always be aware of the potential for precision loss and use appropriate methods, such as rounding, when needed.
ChatGPT