Python NumPy 1 Getting started

Question 1

What does NumPy add to Python?

Answer 1

The ability to work with large arrays, do computation with vectors, and do matrix algebra.

Mathematical operations can be performed on all values in a ndarray at one time rather than having to loop through values, as would be necessary with a Python list.
NumPy is very fast .

Question 2

If you have the Anaconda distribution, how do you install the NumPy library?

Answer 2

Get into the Anaconda prompt, and type
>conda install numpy

Question 3

What new object types does NumPy introduce?

Answer 3

ndarray = arrays = multidimensional arrays

Question 4

If you want to use the NumPy library, what must you first do in your session.

Answer 4

Import numpy as np

Question 5

What are the types operations that we will learn about arrays?

Answer 5

How to create an array (ndarray)
How to programatically generate sequences
How to restructure arrays
How to select sub-arrays
How to do linear algebra operations

Question 6

You will be working with functions and methods. What is the difference between a function and a method?

Answer 6

Question 7

How can you create a one-dimensional array in NumPy?

Answer 7

Convert a list to an array using the array function.

Question 8

How do you create a 2-dimensional array?

Answer 8

Convert a list of lists using the array function.

Question 9

How to programatically generate an array with a range of integers from 0 to N-1?

Answer 9

np.arange(0,11)

Question 10

How to programatically generate an array of even numbers from 0 to N-1?

Answer 10

np.arange(0,11,2)
=np.arange(start, stop, increment)