In [4]: 1. Create a numpy array from 1 to 15 (both inclusive), and make the...
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In [4]: 1. Create a numpy array from 1 to 15 (both inclusive), and make the numpy array as an array of float numbers. Print the numpy array you have created. M [ 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15.] 2. arange() or linspace() Create a 1-D numpy array of the integer values 2,5,8,11,14,17,20,23. You have to use either arange() or linspace() provided in numpy. Print the numpy array you have created. You should not use iteration in this question. In [4]: 1. Create a numpy array from 1 to 15 (both inclusive), and make the numpy array as an array of float numbers. Print the numpy array you have created. M [ 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15.] 2. arange() or linspace() Create a 1-D numpy array of the integer values 2,5,8,11,14,17,20,23. You have to use either arange() or linspace() provided in numpy. Print the numpy array you have created. You should not use iteration in this question.
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Related Book For
Linear Algebra And Its Applications
ISBN: 9781292351216
6th Global Edition
Authors: David Lay, Steven Lay, Judi McDonald
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