Problem Solving

Question 1

What is NumPy used for?

Answer 1

Numerical computing in Python with array operations.

Question 2

What is pandas used for?

Answer 2

Data manipulation and analysis in Python.

Question 3

How to merge two pandas DataFrames?

Answer 3

Using pd.merge() or df.merge().

Question 4

How to handle missing values in pandas?

Answer 4

Using df.fillna() or df.dropna().

Question 5

How to calculate mean in NumPy?

Answer 5

Using np.mean(array).

Question 6

How to apply a function to each row in pandas?

Answer 6

Using df.apply(func, axis=1).

Question 7

How to create a list comprehension in Python?

Answer 7

[expr for item in iterable if condition].

Question 8

How to sort a pandas DataFrame?

Answer 8

Using df.sort_values(by=’column’).

Question 9

What is vectorization?

Answer 9

Using array operations instead of loops for performance.

Question 10

How to create a virtual environment in Python?

Answer 10

Using python -m venv env_name.