Welcome to the NumPy Full Course.

NumPy is an open source Python library, that allows you to work with multi_dimensional arrays and matrices, with the mathematical functions operating on these arrays. It stands for Numerical Python and is written in Python and C. It is a Python library for numeric and scientific computing. It consists of multi_dimensional array objects. It is faster with less LOC.

Numpy allows you to perform various operations on Arrays, including

• Array Slicing
• Array Join
• Array Split
• Array Reshape
• Array Intersection
• Array Arithmetic Operations
• Array Statistical Operations

Course Lessons

1. NumPy Introduction
2. Installing NumPy with pip
3. Create NumPy arrays
4. Dimensions in NumPy Arrays
5. Initialize NumPy Arrays
6. Datatypes in NumPy
7. NumPy Array Indexing
8. NumPy Array Slicing
9. NumPy Array Shape
10. Reshape a NumPy array
11. Iterate NumPy Arrays
12. Joining NumPy Arrays
13. Split NumPy Array
14. Search an Array for a value
15. Sorting NumPy Arrays
16. Axes in NumPy arrays
17. Intersection of NumPy Arrays
18. Difference between NumPy arrays
19. Arithmetic Operations on NumPy arrays
20. Scalar operations on NumPy arrays
21. Statistical Operations on NumPy arrays
22. Random module in NumPy
23. NumPy Logs
24. NumPy LCM and HCF

70+ live coding examples are covered to make each lesson easier for the students.

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Who this course is for:

• Get started with NumPy
• Those who want to learn NumPy by doing. This course includes 50+ hands_on exercises
• Gain a deep understanding of Python NumPy
• Python Libraries Beginners