AND CORRECT ANSWER WITH EXPLANATION GRADED
A+ STUDY GUIDE SOUTHERN NEW HAMPSHIRE
UNIVERSITY
1. Python is widely used in data science because it is:
A. Simple and has rich libraries
B. Only for web design
C. Hardware-based
D. A database system
Answer: A
Rationale: Python is easy to use and has powerful data libraries.
2. Which library is used for numerical computing in Python?
A. NumPy
B. Django
C. Flask
D. Tkinter
Answer: A
Rationale: NumPy supports arrays and math operations.
3. Pandas is mainly used for:
A. Data manipulation and analysis
B. Game development
C. Network security
D. Web hosting
Answer: A
Rationale: Pandas handles structured data.
4. A DataFrame in Pandas is:
,A. A 2D table structure
B. A function
C. A loop
D. A chart
Answer: A
Rationale: Data organized in rows and columns.
5. A Series in Pandas is:
A. A one-dimensional array
B. A database
C. A table
D. A plot
Answer: A
Rationale: Single column structure.
6. NumPy array is:
A. Faster than Python lists for numerical operations
B. Slower than lists
C. A database
D. A web tool
Answer: A
Rationale: Optimized for computation.
7. Matplotlib is used for:
A. Data visualization
B. Database management
C. Networking
D. Encryption
Answer: A
Rationale: Plotting graphs.
8. Seaborn is built on top of:
, A. Matplotlib
B. NumPy
C. Flask
D. Django
Answer: A
Rationale: Enhanced visualization library.
9. Which library is used for machine learning?
A. Scikit-learn
B. Pandas
C. NumPy
D. Matplotlib
Answer: A
Rationale: ML algorithms implementation.
10. Python is an example of:
A. Interpreted language
B. Compiled only language
C. Hardware system
D. Database system
Answer: A
Rationale: Executes line by line.
11. Jupyter Notebook is used for:
A. Interactive coding and analysis
B. Gaming
C. Networking
D. Hardware control
Answer: A
Rationale: Data science environment.
12. Data cleaning includes: