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# python-scipyHow do I calculate variance using Python and SciPy?

To calculate variance using Python and SciPy, you can use the `scipy.stats.variance()` function. This function takes in a list of numbers as an argument and returns the variance of the list.

## Example code

``````import scipy.stats

my_list = [4, 5, 6, 7]

variance = scipy.stats.variance(my_list)

print(variance)``````

## Output example

``1.25``

The code above first imports the `scipy.stats` module. Then, it creates a list of numbers called `my_list`. Finally, it uses the `scipy.stats.variance()` function to calculate the variance of the list, which is stored in the `variance` variable. The output of the code is `1.25`.

Parts of the code:

1. `import scipy.stats` - This line imports the `scipy.stats` module, which contains the `variance()` function.
2. `my_list = [4, 5, 6, 7]` - This line creates a list of numbers called `my_list`.
3. `variance = scipy.stats.variance(my_list)` - This line uses the `scipy.stats.variance()` function to calculate the variance of the list and stores it in the `variance` variable.
4. `print(variance)` - This line prints the value of the `variance` variable.