📘 Unit 3 Question Bank – Data Structures & File Handling

Includes MCQs, short answers, long answers, case-based questions, and mini projects with pharmaceutical applications.

🔷 Section A: MCQs

1. Which data structure is mutable?
   a) Tuple
   b) List
   c) String
   d) None
   Answer: b


2. Which is immutable?
   a) List
   b) Dictionary
   c) Tuple
   d) Set
   Answer: c


3. Dictionary stores data as:
   a) List
   b) Tuple
   c) Key-Value pairs
   d) Array
   Answer: c


4. Indexing starts from:
   a) 1
   b) 0
   c) -1
   d) None
   Answer: b


5. Which function creates NumPy array?
   a) list()
   b) array()
   c) tuple()
   d) dict()
   Answer: b


6. CSV stands for:
   a) Column Storage Value
   b) Comma Separated Values
   c) Central System Variable
   d) None
   Answer: b


7. Which module is used for CSV?
   a) numpy
   b) pandas
   c) csv
   d) os
   Answer: c


8. np.mean() calculates:
   a) Sum
   b) Average
   c) Max
   d) Min
   Answer: b

🔷 Section B: Short Answer Questions

• Define list with example.
• Differentiate between list and tuple.
• What is dictionary?
• Explain indexing and slicing.
• What is NumPy?
• Write syntax to create NumPy array.
• What is CSV file?
• Explain csv.reader().
• What is dataset?
• Define data manipulation.

🔷 Section C: Long Answer Questions

1. Explain lists, tuples, and dictionaries with examples.
2. Explain indexing and slicing with suitable examples.
3. Explain NumPy arrays and their advantages.
4. Explain CSV file handling in Python.
5. Explain healthcare datasets and their structure.
6. Explain data access and manipulation with examples.

🔷 Section D: Case-Based Questions

🔷 Section E: Mini Projects

• Project 1: Dose Analyzer using List & NumPy
• Project 2: Patient Record System using Dictionary
• Project 3: ADR Alert System using CSV
• Project 4: Clinical Data Filter & Modifier

🧠 Quick Revision