How can I use NumPy for data analysis?

How can I use NumPy for data analysis?

You can use NumPy to perform various data analysis tasks like numerical computations, statistical analysis, and data manipulation.

Can you show me an example of how to calculate the mean and standard deviation?

Sure! You can use numpy.mean() and numpy.std() functions. For example:

import numpy as np

data = np.array([1, 2, 3, 4, 5])
mean = np.mean(data)
std_dev = np.std(data)
print('Mean:', mean)
print('Standard Deviation:', std_dev)

What about handling missing values in a dataset?

You can use NumPy to identify and handle missing values. For instance, you can use numpy.nanmean() to calculate the mean while ignoring NaNs.

Are there any other libraries I should consider for data analysis?

Yes, libraries like Pandas and SciPy are great complements to NumPy for data analysis, offering more functionality.