Here, we are going to talk about another crucial data type called **float**; it describes all numbers with a decimal point (both positive and negative): `1.5`, `56.9876`, and even `67.5e4`.

However, we don't need to worry about converting the number to a float representation using scientific notation. This is because Python has a `format` method. Explanation:

# The distance from Sun to Earth in miles is 91400000 
distance = "{:e}".format(91400000) 
print(distance)

This means 9.14 multiplied by 10 raised to the power of 7; but Python, by default, leaves space for six digits and replaces them with 0. 
By the way, we can specify this number. Here's another example where we leave just two numbers after the decimal point:

# The distance from Sun to Earth in miles is 91400000 
distance = "{:.2e}".format(91400000)
print(distance)

Numeric data types are crucial in Python, so it is important to start with them. Here you will work with simple math operations and find out the purposes of learning different types of numerical data.

The main goal of this section is to clarify the boolean data types; it's a sub type of numeric data, but indeed it is more challenging. Since it is always better to excel in the more difficult topics, this section is a valuable part of your curriculum.

Strings are a way for us to implement your phrases in Python, that is, to give instructions to users who are the target audience of your program. Indeed, it is always better to be able to work with strings because they should be used in your code. You'll understand why soon.

This chapter consists of practical tasks that combine all the examined topics together with a bit of theory.