Week 7 Data Wrangling Numpy Demonstration

1. Data Wrangling
Week 7
Dr. Ferdin Joe John Joseph
Faculty of Information Technology
Thai – Nichi Institute of Technology, Bangkok

2. Today’s Lesson
• Introduction to Numpy
• Numpy - Theories
• Numpy usage in Python
• Demonstration
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3. Numpy
• Python library for scientific computing
• Install in command prompt
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Technology, Bangkok
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4. Usage of Numpy
• Managing n dimensional arrays
• Mathematical functions like fourier transform, linear algebra and random
number generator
• Backbone of data science in python
• Pandas is built on top of this
• Created in 2005 by Travis Oliphant
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5. Import numpy
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6. np notation
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7. Numpy version
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8. Type of numpy array
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9. 0 Dimensional array
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10. 1 Dimensional array
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11. 2 Dimensional Array
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12. 3 Dimensional Array
• Otherwise known as Tensor
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13. 3 dimensional array
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14. Find dimension of array
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15. Dimension of array
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16. Get first element of array
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17. Get second element of array
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18. Add two elements in array
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19. Access elements in 2 dimensional array
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20. Access elements in 3 dimensional array
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21. Negative indexing
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22. Array Slicing
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23. Slicing from beginning
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24. Negative Slicing
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25. Jump two indices
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26. Slicing 2 dimensional arrays
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27. Activity
• Using numpy perform matrix multiplication of two dimensional arrays
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28. Activity
• Using numpy create pascal’s triangle
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29. Revision- Pre Mid Term
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30. Next Week
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https://github.com/ferdinjoe/DSA201
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