M3R5 Python NumPy and Pandas Tutorial

Learn NumPy and Pandas for O Level M3R5. Complete Python NumPy Pandas tutorial with examples, MCQs, and practice exercises. Free NumPy Pandas guide for M3R5 exam.

NumPy and Pandas Tutorial for M3R5

Master NumPy and Pandas for O Level M3R5 with our comprehensive tutorial. Learn data manipulation, array operations, and data analysis using NumPy and Pandas libraries.

Our NumPy Pandas tutorial includes detailed explanations, code examples, practice exercises, and MCQs. Perfect for students preparing for the O Level M3R5 Programming exam.

NumPy Pandas MCQ Practice

1

Which function is fastest for computing element-wise sum of two NumPy arrays?

A. Python for-loop
B. List comprehension
C. np.add(a, b)
D. map() with lambda
2

What is the default data type of NumPy arrays?

A. int32
B. float64
C. object
D. bool
3

Which of the following converts a list into a NumPy array?

A. np.tolist()
B. np.arr()
C. np.array()
D. np.convert()
4

Slicing NumPy arrays returns:

A. A deep copy
B. A shallow copy (view)
C. A reversed array
D. A list
5

NumPy is mainly used for:

A. Web development
B. Scientific computing and numerical operations
C. Mobile app development
D. Database management
Practice More MCQs

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