- Read the introduction entitled What is NumPy?

- NumPy is Python library written in C to provide fast numerical methods for scientific computation.
- NumPy arrays
- Slicing

- Install NumPy on your machine:
- Windows:
**python -m pip install numpy** - Mac:
**pip3 install --user numpy**

- Windows:
- Work through numpy-tutorial1.py.

- Create a one-dimensional array called
**v**with 10 integers. Each integer should be a random number between 1 and 100. - Create a new array which consists of the odd indices of previously created array v.
- Create a new array in backwards ordering from v.
- What will be the output of the following code:
a = np.array([1, 2, 3, 4, 5]) b = a[1:4] b[0] = 200 print(a[1])

- Create a two-dimensional array called
**m**with 25 integers in a 5 by 5 matrix. Each integer should be a random number between 1 and 100. - Create a new array from m, in which the elements of each row are in reverse order.
- Create another array from m, where the rows are in reverse order.
- Create another array from m, where columns and rows are in reverse order.
- Create another array from m, where the first and last row and the first and last column are cut off.