# What is a float in Python

## Understanding Floats in Python

When you're just starting with programming, diving into the world of numbers and how they're represented in code can be quite intriguing. In Python, one of the basic data types you'll come across is the `float`. So what exactly is a float? Let's break it down.

### The Basics of Floats

In the simplest terms, a float in Python is a data type that represents a number with a decimal point. Think of it as the way we express numbers that aren't whole. For instance, when you measure the length of a string, it could be 2.5 meters, not just 2 or 3 meters. This 2.5 is a floating-point number, or `float` for short.

### Floats vs. Integers

To give you a clearer picture, let's compare floats with integers. Integers are whole numbers without any fractional parts – numbers like 3, -15, or 42. In Python, you would simply write them as `3`, `-15`, or `42`. Floats, on the other hand, can represent both the whole and the fractional parts of a number, like `3.14`, `-15.5`, or `42.0`.

Here's a quick Python example to illustrate the difference:

``````# Integer
my_integer = 7
print(my_integer)  # Output: 7

# Float
my_float = 7.0
print(my_float)  # Output: 7.0
``````

### Why the Name 'Float'?

You might wonder why we call these numbers 'floats'. The term comes from 'floating-point arithmetic', an ingenious method computers use to handle a vast range of decimal numbers efficiently. When we say 'floating-point', we're referring to the decimal point's ability to 'float'; it can move anywhere in the number, allowing the representation of very large numbers (like 123456789.0) or very small ones (like 0.0000123456789).

### Creating Floats in Python

Creating a float in Python is as simple as typing a number with a decimal point. Alternatively, you can use the `float()` function to convert other data types into a float:

``````# Creating a float by simply typing it
my_float = 10.5
print(my_float)  # Output: 10.5

# Converting an integer to a float
my_float_from_int = float(20)
print(my_float_from_int)  # Output: 20.0

# Converting a string to a float
my_float_from_string = float("123.456")
print(my_float_from_string)  # Output: 123.456
``````

### Operations with Floats

Floats can be used in a variety of mathematical operations, just like integers. You can add, subtract, multiply, and divide floats, which makes them incredibly versatile in calculations.

``````# Addition
result = 10.5 + 2.3
print(result)  # Output: 12.8

# Subtraction
result = 10.5 - 2.3
print(result)  # Output: 8.2

# Multiplication
result = 10.5 * 2
print(result)  # Output: 21.0

# Division
result = 10.5 / 2
print(result)  # Output: 5.25
``````

### Precision of Floats

It's important to note that floats have a limitation when it comes to precision. Due to the way computers store floating-point numbers, some numbers can't be represented exactly. This can lead to rounding errors that you need to be aware of.

``````# Float precision example
result = 0.1 + 0.2
print(result)  # Output might not be exactly 0.3 due to precision limitations
``````

### Intuitions and Analogies

Imagine you're slicing a pie. If you cut it into whole pieces, you're dealing with integers. But often, you end up with a piece that's not whole, maybe half a slice or a quarter. This is where floats come into play – they help you describe that half slice (0.5) or that quarter slice (0.25) with accuracy.

### When to Use Floats

You'll find yourself using floats in Python when dealing with measurements, like distances or weights, and anytime you need to work with fractions or decimal numbers. They're essential for scientific calculations, financial applications, and any task that requires precision beyond whole numbers.

### Common Functions with Floats

Python has built-in functions that are commonly used with floats, such as:

• `round()`: This function rounds a float to the nearest whole number or to a specified number of decimal places.
• `abs()`: It returns the absolute value of a float, which is the distance of the number from zero without considering the sign.
• `math.ceil()`: Provided by the `math` module, it rounds a number up to the nearest whole number.
• `math.floor()`: Also from the `math` module, it rounds a number down to the nearest whole number.
``````import math

# Rounding a float
print(round(7.6))  # Output: 8

# Absolute value
print(abs(-7.6))  # Output: 7.6

# Ceiling value
print(math.ceil(7.2))  # Output: 8

# Floor value
print(math.floor(7.8))  # Output: 7
``````

### Conclusion: Embracing the World of Floats

As you journey through the realms of Python programming, floats will become trusted companions, helping you quantify and calculate the world in all its non-whole-number glory. They are the fine brushes in your programming toolkit, allowing you to paint with more nuanced strokes than the broad swaths of integers.

Remember, floats are like the change in your pocket. While you might not use them for every purchase, when you need to be exact—down to the last penny—they're invaluable. Embrace the float, and you'll find that many doors to precision and possibility swing wide open in your coding adventures.

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