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  1. Python
  2. Unlocking Python: Foundations for Coding
Data Type: Integers : Data Type:Complex
Unlocking Python: Foundations for Coding

Float Data Type

Understanding Floats

In Python, the float data type represents real numbers, which are numbers with decimal points. They are used to represent values that have fractional parts.

Example:

Python

x = 3.14159

y = -2.5

z = 1.0  # Even though it looks like an integer, it's a float

 

print(type(x))  # Output: <class 'float'>

print(type(y))  # Output: <class 'float'>

print(type(z))  # Output: <class 'float'>

Use code with caution.

Key Characteristics of Floats

  • Decimal representation: Floats are used to represent numbers with decimal points.

  • Limited precision: Due to the way floats are stored in computers, they have a limited precision. This can lead to rounding errors in some calculations.

  • Scientific notation: Python supports scientific notation for very large or very small numbers (e.g., 1.23e-5 represents 1.23 * 10^-5).

  • Arithmetic operations: Floats support the same arithmetic operations as integers.

  • Type conversion: You can convert integers to floats using the float() function.

Example Usage

Python

# Arithmetic operations

result = 3.14 * 2.0

print(result)  # Output: 6.28

 

# Division always returns a float

division_result = 7 / 3

print(division_result)  # Output: 2.3333333333333335

 

# Type conversion

integer_number = 42

float_number = float(integer_number)

print(float_number)  # Output: 42.0

Use code with caution.

Inbuilt Methods:

is_integer:

a = 3.0

a.is_integer() # output True

b = 3.1

b.is_integer() # output False

 

 

Important Considerations

  • Floating-point errors: Due to the limitations of floating-point representation, calculations involving floats might not always produce exact results.

  • Comparisons: Be cautious when comparing floats for equality due to potential rounding errors. Use a small tolerance instead:

Python

x = 0.1 + 0.2

if abs(x - 0.3) < 0.0001:

    print("Approximately equal")

Use code with caution.

In summary, floats are essential for representing real-world values with decimal points in Python. Understanding their limitations and using them appropriately is crucial for accurate calculations.

 

Data Type: Integers Data Type:Complex
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