![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?](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
12 13
10 11
8 9
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)
![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?](https://image.slidesharecdn.com/numpy-190405125856/75/Python-NumPy-Tutorial-NumPy-Array-Edureka-4-2048.jpg)
![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]](https://image.slidesharecdn.com/numpy-190405125856/75/Python-NumPy-Tutorial-NumPy-Array-Edureka-12-2048.jpg)
Uploaded byEdureka!
Python NumPy Tutorial | NumPy Array | Edureka
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.
In this document
Powered by AI
Introduction to Numpy, Python's core library for scientific computing providing dynamic arrays.
Comparison of Numpy and Python Lists highlighting Numpy's advantages: lower memory usage, faster performance, and convenience.
Explores various Numpy array operations including dimension, size, shape, and basic statistical functions like sum.
Focus on advanced operations in Numpy, including mathematical functions such as calculating square root and standard deviation.
Introduction to Numpy's special functions like trigonometric (sine, cosine) and logarithmic/exponential functions.
Brief recap of session covering Numpy basics, comparisons, operations, and special functions.
Closing remarks inviting questions, queries, and feedback from participants.
More Related Content
Similar to Python NumPy Tutorial | NumPy Array | Edureka
![NUMPY [Autosaved] .pptx](https://cdn.slidesharecdn.com/ss_thumbnails/numpyautosaved-240106041504-989a0cc3-thumbnail.jpg?width=600ounds&width=560&fit=bounds)
![UiPath Automation Suite Installation (Hands-On) [2/3]](https://cdn.slidesharecdn.com/ss_thumbnails/automationsuitecommunitysession2-251015095633-a6d862f1-thumbnail.jpg?width=600ounds&width=560&fit=bounds)
Python NumPy Tutorial | NumPy Array | Edureka
- 1. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATIONTRAINING Python Numpy
- 2. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATIONTRAINING Agenda ➢ What is Numpy? ➢ Numpy v/s List ➢ Numpy Operations ➢ Numpy Special Functions
- 3. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATIONTRAINING What is Numpy?
- 4. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATIONTRAINING 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 CERTIFICATIONTRAINING Numpy v/s List
- 6. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATIONTRAINING 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 CERTIFICATIONTRAINING Numpy Operations
- 8. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATIONTRAINING 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 CERTIFICATIONTRAINING 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 CERTIFICATIONTRAINING 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 CERTIFICATIONTRAINING Numpy Operations MaxMin Sum
- 12. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATIONTRAINING 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 CERTIFICATIONTRAINING 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 CERTIFICATIONTRAINING 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 CERTIFICATIONTRAINING Numpy Special Functions
- 16. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATIONTRAINING Numpy Special Functions Cosine Function Sine Function
- 17. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATIONTRAINING Numpy Special Functions Exponential Function Logarithmic Function
- 18. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATIONTRAINING Session In A Minute What is Numpy? Numpy v/s List Numpy Operations Numpy Special Functions
- 19. www.edureka.co/pythonEDUREKA PYTHON CERTIFICATIONTRAINING Thank You … Questions/Queries/Feedback