What are some built-in functions in NumPy?

What are some built-in functions in NumPy?

NumPy has several built-in functions like np.array(), np.mean(), np.sum(), and np.linspace(). Would you like to know more about any specific function?

Can you explain how np.mean() works?

Sure! np.mean() calculates the average of an array's elements. You can use it by passing an array as an argument, like np.mean(array). It also has an optional axis parameter to compute the mean along a specific axis.

What about np.sum()? How is it different?

np.sum() computes the total sum of the array's elements. Similar to np.mean(), it can also take an axis parameter to sum along a specific axis. So, while np.mean() gives you the average, np.sum() gives you the total.

Are there any other useful functions I should know?

Definitely! Functions like np.max(), np.min(), and np.std() for standard deviation are also very useful. Each serves a different purpose in data analysis.