Description

Welcome to the NumPy Tutorial for Beginners by Studyopedia.

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

Bonus

25. Quiz

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