Python NumPy Tutorial | NumPy Array | Edureka
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The document outlines a Python certification training program focused on NumPy, a core library for scientific computing in Python that provides high-performance multidimensional array objects. It compares NumPy with lists, highlighting advantages such as less memory usage and faster operations. Additionally, it covers various NumPy operations and special functions, including array manipulation and mathematical functions.
![www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
What is Numpy?
❑ Numpy is the core library for scientific computing in Python.
❑ It provides a high-performance multidimensional array object, and tools for working with these arrays.
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1 2 3A[0,0], A[0,1], A[0,2]
A[1,0], A[1,1], A[1,2]
A[2,0], A[2,1], A[2,2]
A[3,0], A[3,1], A[3,2]
What is Multi-
dimensional
array?](https://image.slidesharecdn.com/numpy-190405125856/85/Python-NumPy-Tutorial-NumPy-Array-Edureka-4-320.jpg)
![www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING
Numpy Operations
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axis 1
axis 0
Sum of axis 0: [ 30, 33]
Sum of axis 1: [ 17, 21, 25]](https://image.slidesharecdn.com/numpy-190405125856/85/Python-NumPy-Tutorial-NumPy-Array-Edureka-12-320.jpg)
Python NumPy Tutorial | NumPy Array | Edureka
- 1. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Python Numpy
- 2. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Agenda ➢ What is Numpy? ➢ Numpy v/s List ➢ Numpy Operations ➢ Numpy Special Functions
- 3. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING What is Numpy?
- 4. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING What is Numpy? ❑ Numpy is the core library for scientific computing in Python. ❑ It provides a high-performance multidimensional array object, and tools for working with these arrays. 11 12 13 8 9 10 5 6 7 1 2 3A[0,0], A[0,1], A[0,2] A[1,0], A[1,1], A[1,2] A[2,0], A[2,1], A[2,2] A[3,0], A[3,1], A[3,2] What is Multi- dimensional array?
- 5. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Numpy v/s List
- 6. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Numpy v/s List Why should I use Numpy when I have List? Less Memory Fast Convenient Advantages of Numpy over List
- 7. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Numpy Operations
- 8. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Numpy Operations Find the dimension of the array Find the byte size of each element Find the data type of the elements
- 9. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Numpy Operations Find the size of an array 11 12 13 8 9 10 5 6 7 1 2 3 Find the shape of an array 4
- 10. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Numpy Operations 11 12 13 8 9 10 12 13 10 11 8 9 Reshape 12 13 10 11 8 9 Slicing 9 11
- 11. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Numpy Operations MaxMin Sum
- 12. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Numpy Operations 12 13 10 11 8 9 axis 1 axis 0 Sum of axis 0: [ 30, 33] Sum of axis 1: [ 17, 21, 25]
- 13. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Numpy Operations 12 13 10 11 8 9 Finding the square root Finding the Standard Deviation 12 13 10 11 8 9
- 14. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Numpy Operations 12 13 10 11 8 9 12 13 10 11 8 9 12 13 10 11 8 9 12 13 10 11 8 9 12 13 10 11 8 9 12 13 10 11 8 9 12 13 10 11 8 9 12 13 10 11 8 9
- 15. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Numpy Special Functions
- 16. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Numpy Special Functions Cosine Function Sine Function
- 17. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Numpy Special Functions Exponential Function Logarithmic Function
- 18. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Session In A Minute What is Numpy? Numpy v/s List Numpy Operations Numpy Special Functions
- 19. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATION TRAINING Thank You … Questions/Queries/Feedback