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Module 1: Data Types and Collections ​

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Learning outcomes ​

  • identify common Python data types;
  • choose a suitable collection for a small problem;
  • read simple Python syntax and examples;
  • explain the difference between built-in types and containers.

Prerequisites ​

None. This is the starting module for the Python track.

The idea in one sentence ​

A data type tells Python what kind of value you are using and what operations are allowed.

Everyday analogy ​

Think of a stationery box with separate slots for pens, pencils, erasers, and clips. Each item fits a different slot, and the slot tells you what belongs there.

Syntax ​

python
x = 5
name = "Asha"
marks = [12, 18, 20]
point = (3, 4)
tags = {"python", "exam"}
student = {"id": 1, "name": "Asha"}

Worked example ​

python
count = 3
ratio = 2.5
passed = True
letter = "A"
numbers = [1, 2, 3]

Here:

  • count is an int
  • ratio is a float
  • passed is a bool
  • letter is a str
  • numbers is a list

Why this matters in practice ​

  • In college notes, types help you classify values clearly.
  • In real code, types help you choose the right storage form for marks, names, statuses, and grouped data.
  • They reduce confusion when a value should behave like a number, text, or collection.

Important concepts ​

int ​

Whole numbers.

python
age = 21

float ​

Numbers with decimal points.

python
price = 99.50

bool ​

True/False values.

python
is_passed = True

str ​

Text.

python
name = "Asha"

list ​

An ordered, changeable collection.

python
marks = [45, 52, 61]

tuple ​

An ordered, fixed collection.

python
point = (3, 4)

set ​

A collection with unique values only.

python
tags = {"python", "exam"}

dict ​

A key-value mapping.

python
student = {"id": 1, "name": "Asha"}

Technical meaning ​

In Python, every value has a type. The type controls behavior such as addition, indexing, membership checks, and method availability. Collections group related values and describe how those values are organized.

Memory rule ​

  • list = ordered and changeable
  • tuple = ordered and fixed
  • set = unique items only
  • dict = key to value mapping

Quick check ​

  • What type is "A"?
  • Which type is best for unique tags?
  • Which type is best for named fields?
  • Why would you use a tuple instead of a list?

Short exam answer ​

Python data types classify values such as numbers, text, and collections. int, float, bool, and str are basic built-in types, while list, tuple, set, and dict are common collection types. Choosing the right type helps programs stay clear and correct.

↑ Semester I · Subject index · Next: Module 2 →

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