FLOAT DATA TYPE

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FLOAT DATA TYPE 

In Python, the float data type represents floating-point numbers, which are numbers with decimal points. Here are some key features of the float data type:

  • Creating Floats:

Floats can be created by assigning a number with a decimal point to a variable.

For example:

x = 3.14 y = -2.5 z = 0.0

  • Operations:

Floats support various mathematical operations, similar to integers. You can perform addition, subtraction, multiplication, and division on floats.

For example:

a = 2.5 + 1.3 # Addition: a will be 3.8 b = 5.0 - 2.2 # Subtraction: b will be 2.8 c = 2.5 * 3.0 # Multiplication: c will be 7.5 d = 7.0 / 2.0 # Division: d will be 3.5

  • Conversion:

You can convert other data types to floats using the float() function.

For example:

x = float("3.14") # x will be 3.14 (converted from a string) y = float(5) # y will be 5.0 (converted from an integer)

  • Floating-Point Precision:

Floating-point numbers in Python are implemented using the IEEE 754 standard. However, due to the way floating-point numbers are represented in binary, there may be some precision limitations and rounding errors. Therefore, be cautious when performing precise calculations with floats.

  • Scientific Notation:

Floats can also be expressed using scientific notation, where e or E represents the exponent.

For example:

a = 1.2e3 # a will be 1200.0 (1.2 multiplied by 10^3)
b = 2.5E-2 # b will be 0.025 (2.5 multiplied by 10^-2)

The float data type allows you to work with decimal numbers and perform various mathematical operations. However, due to floating-point precision limitations, it's important to be mindful of potential rounding errors in certain situations.


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