Course Content

# Learning Statistics with Python

2. Mean, Median and Mode with Python

3. Variance and Standard Deviation

4. Covariance vs Correlation

Learning Statistics with Python

## Calculate Variance with Python

**Calculating Variance with NumPy**

In **NumPy**, you need to input the sequence of values (in our case, the column of the dataset) into the `np.var()`

function, like this: `np.var(df['work_year'])`

.

**Calculating Variance with pandas**

In **pandas**, you should use the `.var()`

method on the sequence of values (in our case, the column of the dataset), like this: `df['work_year'].var()`

.

In both cases, the results are almost the same. The differences are due to different denominators: N in NumPy, and N-1 in pandas. Check it now!

Everything was clear?

Section 3. Chapter 3