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Ramya .C
Ramya .C

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Day 5 of My Data Analytics Journey

✨️✨️Understanding Data Types and Operators✨️✨️
Hi everyone! 👋
Here's what I learned 👇

🔢 What are Data Types?
Data types define the kind of data we are working with in a program or dataset.

👉 Common Data Types:
Integer (int) – Whole numbers (e.g., 10, -5)

Float (float) – Decimal numbers (e.g., 3.14, -0.01)

String (str) – Text (e.g., "Hello", "Ramya")

Boolean (bool) – True or False values

List – Ordered, changeable collection (e.g., [1, 2, 3])

Tuple – Ordered, unchangeable collection (e.g., (1, 2, 3))

Dictionary (dict) – Key-value pairs (e.g., {"name": "Ramya", "age": 21})

➕ What are Operators?
Operators are symbols that perform operations on variables and values.

🧮 Types of Operators:
Arithmetic Operators
Perform basic math:

  • Addition

  • Subtraction

  • Multiplication

/ Division

% Modulus (remainder)

** Exponent (power)

// Floor division

Comparison Operators
Compare two values and return True or False:

== Equal

!= Not equal

Greater than

< Less than

= Greater than or equal

<= Less than or equal

Logical Operators
Combine conditional statements:

and – True if both conditions are true

or – True if at least one condition is true

not – Reverses the result (True becomes False)

Assignment Operators
Assign values to variables:

= Assign

+= Add and assign

-= Subtract and assign

*= Multiply and assign

/= Divide and assign

Membership Operators
Check if a value exists in a sequence:

in – True if found

not in – True if not found

Identity Operators
Check memory location:

is – True if both variables point to the same object

is not – True if not the same object

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