📘 Unit 1 Question Bank – Python Programming Basics

Designed for B. Pharm students: MCQs, short answers, long answers, and case-based questions with pharmaceutical applications.

🔷 Section A: MCQs

1. Python is a:
   a) Compiled language
   b) Interpreted language
   c) Assembly language
   d) Machine language
   Answer: b


2. Which of the following is NOT a data type?
   a) int
   b) float
   c) real
   d) string
   Answer: c


3. Which function is used to take input?
   a) print()
   b) input()
   c) read()
   d) scan()
   Answer: b


4. What is the type of “500”?
   a) int
   b) float
   c) string
   d) bool
   Answer: c


5. Which is a valid variable?
   a) 1dose
   b) dose_1
   c) dose-1
   d) dose 1
   Answer: b


6. Which operator is used for exponentiation?
   a) ^
   b) **
   c) *
   d) //
   Answer: b


7. 5 > 3 and 2 < 1 gives:
   a) True
   b) False
   Answer: b


8. Which method removes spaces?
   a) remove()
   b) strip()
   c) clean()
   d) trim()
   Answer: b


9. Output of drug[0] for “Aspirin”:
   a) A
   b) s
   c) p
   d) Error
   Answer: a


10. pip is used for:
    a) Writing code
    b) Installing libraries
    c) Debugging
    d) Compiling
    Answer: b

🔷 Section B: Short Answer Questions

• Define Python interpreter.
• What is an IDE? Give examples.
• Explain variables with example.
• List different data types.
• What is type casting?
• Explain input() and print().
• Define string.
• What is pip?
• Differentiate int and float.
• Write syntax for installing a library.

🔷 Section C: Long Answer Questions

1. Explain Python installation and IDE setup.
2. Explain variables and data types with pharma examples.
3. Explain different types of operators with applications.
4. Explain input-output operations with examples.
5. Explain string manipulation techniques.
6. Explain Python libraries and their importance.

🔷 Section D: Case-Based Questions

🔷 Section E: Mini Projects

• Dose Calculator: Input weight → calculate dose
• Patient Report Generator: Input details → display report
• Drug Data Analyzer: Use NumPy → average dose

🧠 Quick Revision