Lists, Tuples & Dictionaries in Python for Pharmacy Students (Patient Records, Drug Data & Dose Management)

Data structures in Python are used to store and organize data efficiently. In pharmaceutical sciences, they are essential for handling patient records, drug information, and dosage data.

🔷 What are Data Structures?

Data structures allow storing multiple values in a single variable.

🔷 Lists (Mutable Data Structure)

A list is used to store multiple values in a single variable. Lists are mutable, meaning they can be changed.

doses = [500, 650, 400]
print(doses)

💊 Pharma Example

patient_doses = [500, 500, 650, 400]
print("Dose list:", patient_doses)

Used for storing multiple patient doses.

🔷 Tuples (Immutable Data Structure)

A tuple is similar to a list but cannot be changed once created.

drug_info = ("Paracetamol", 500, "Tablet")

💊 Pharma Example

Used for fixed drug properties like composition.

🔷 Dictionaries (Key-Value Pair)

A dictionary stores data in key-value pairs.

patient = {
    "name": "John",
    "age": 45,
    "drug": "Aspirin"
}

💊 Pharma Example

Represents patient records in clinical settings.

🔷 Difference Between List, Tuple & Dictionary

🧠 Memory Trick

• List → Changeable (Multiple doses)
• Tuple → Fixed (Drug properties)
• Dictionary → Patient record (Key-Value)

🧪 Practice Exercise

Create:

• List of 5 patient doses
• Tuple for drug information
• Dictionary for patient record

🧪 Mini Project

Create a simple patient data system:

patient = {
    "name": "Alice",
    "age": 30,
    "dose": [500, 650]
}

print(patient)

📝 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
   d) Array
   Answer: c

❓ FAQs

Why are data structures important in pharmacy?

They help in organizing patient data, drug records, and dosage information efficiently.

When should we use tuple?

When data should not be changed, such as drug composition.

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