Exercises

1. Do we have to install NumPy independently if our Python was installed via Anaconda?

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

3. How do you find all the functions contained in NumPy or SciPy?

4. How many ways are there to import a specific function contained in SciPy?

5. What is wrong with the following operation?

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

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

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

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

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

9. What is the difference between an arithmetic mean and a geometric mean?

10. Debug the following lines of code, which are used to estimate a geometric mean for a given set of returns:

    >>>import scipy as sp
    >>>ret=np.array([0.05,0.11,-0.03])
    >>>pow(np.prod(ret+1),1/len(ret))-1

11. Write a Python...