1. What is module dependency?

2. Why is it difficult to install NumPy independently?

3. What are the advantages and disadvantages of writing a module that depends on other modules?

4. What are the advantages of using a super package to install many modules simultaneously?

5. How do we find all the functions contained in NumPy and SciPy?

6. What is wrong with the following operation?

>>>x=[1,2,3]
>>>x.sum()

7. How can we print all the data items for a given array?

8. What is wrong with the following lines of code?

>>>import np
>>>x=np.array([True,false,true,false],bool)

9. How can we iterate through an array?

10. Write a Python program to price a European call option using the cumulative standard normal distribution included in the SciPy module. Compare your result with the code in Chapter 4, 13 Lines of Python to Price a Call Option.

11. Find out the meaning of skewtest included in the stats submodule (SciPy), and give an example of using this function...