Concepts: Floats

Representing non-whole, very small, and very large numbers in Python with floating-point numbers.

Floating-Point Numbers in Python

Floats, or floating-point numbers, are numbers that can contain a decimal point. In Python, floats are differentiated from ints (integers) by including a decimal point when writing them out:

3.14
2.8
9.0
200.

Any number that doesn't include a decimal point is counted as an integer instead of a float. For example, 74 is an integer, while 74.0 is a floating-point number.

It is also worth pointing out that because integers and floats are different types in Python, using them together in calculations will result in a float value. For example:

When adding an integer value to a float value:
```
  >35 + 5.0
   40.0
```
When subtracting a float value from an integer value:
```
  >27 - 2.0
   25.0
```

Notice in both of the examples above that the calculations don't have a result with a decimal value, but because the calculations involved a float value, the result must be a float value.

Practice: Floats

Based on the above information, please complete the following steps:

Define a variable named gpa and assign it your most recent school grade-point-average (or make one up, if you don't remember), as a floating-point number with two decimal places.
Print the value contained in the gpa variable.
Next, check the type of the gpa variable.

HINT*: Click here for a hint

You should see your grade-point-average output in the terminal, with up to two decimal places:

> 2.63

SOLUTION*: Click here for an example solution

  gpa = 2.63
  print(gpa)
  2.63
  type(gpa)
  <class 'float'>

Even if all the decimal places of a floating-point number are 0, it's output should show at least one decimal place:

> 3.0

SOLUTION*: Click here for an example solution

  gpa = 3.00
  print(gpa)
  3.0
  type(gpa)
  <class 'float'>

When you have completed the above, you are ready to move on to the next exercise!