NumPy is a Python library for numeric and scientific computing. It stands for numerical python and consists of multi-dimensional array objects.
NumPy Study Material: https://bit.ly/3LwzZWE
NumPy Tutorial in Hindi: https://youtu.be/roqStVWNR7Q
Python Tutorial (English): https://bit.ly/3RKZcQE
Python Tutorial (Hindi): https://youtu.be/b97WsOM9BYg
The following lessons are covered in this NumPy course:
Couse Intro: 00:00:00
1. NumPy Introduction 00:00:49
2. Installing NumPy 00:02:57
3. Create NumPy arrays 00:14:00
4. Dimensions in NumPy Arrays 00:19:40
5. Initialize NumPy Arrays 00:25:21
6. Datatypes in NumPy 00:28:46
7. NumPy Array Indexing 00:37:06
8. NumPy Array Slicing 00:52:55
9. NumPy Array Shape 01:04:29
10. Reshape a NumPy array 01:13:22
11. Iterate NumPy Arrays 01:20:02
12. Joining NumPy Arrays 01:29:24
13. Split NumPy Array 01:42:36
14. Search an Array for a value 01:54:41
15. Sorting NumPy Arrays 01:58:17
16. Axes in NumPy arrays 02:05:51
17. Intersection of NumPy Arrays 02:11:28
18. Difference between NumPy arrays 02:21:08
19. Arithmetic Operations on NumPy arrays 02:28:53
20. Scalar operations on NumPy arrays 02:42:00
21. Statistical Operations on NumPy arrays 02:52:20
22. Random module in NumPy 03:00:13
23. NumPy Logs 03:08:07
24. NumPy LCM and HCF 03:12:41
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