🐍 Python – Part 1: Understanding Variables and Data Types

If you're new to Python, one of the first things you'll learn is how to work with variables and data types. Python makes it super easy and beginner-friendly. This post will walk you through the basics with clear examples, rules, naming conventions, and bonus tips.

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✅ What Is a Variable?

A variable in Python is like a box that stores a value. You give it a name and use it later in your code.

pythonCopyEditname = "Lorenzo"
age = 25
height = 5.9
is_happy = True

Here’s what’s happening:

• name is a str (string)

• age is an int (integer)

• height is a float

• is_happy is a bool (Boolean)

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✅ Quick Rules for Variables

• Strings go in quotes: "text"

• No need to declare variable types like in Java or C++

• Variable names can’t start with a number

• Python is case-sensitive: age and Age are two different variables

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🧠 Python Variable Naming Conventions

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✅ Recommended Naming Style (PEP 8)

• Use snake_case for variable names: user_name, total_amount

• Keep names descriptive but short: age, user_id

• Constants should be ALL_CAPS: PI = 3.14, MAX_USERS = 100

🧠 What are constants?
Python doesn’t have real constants, but by convention, if you name a variable in ALL CAPS, it means "don’t change this later in the program."

pythonCopyEditPI = 3.14
MAX_USERS = 100

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📘 Common Python Variable Types

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✅ Built-in Python Data Types (Official Categories)

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🧠 Fun Fact

You can check the type of any variable using the type() function:

pythonCopyEditx = 5.8
print(type(x))  # Output: <class 'float'>

This is really useful when you’re debugging or just curious about what kind of data you're working with.

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🔁 Dynamic vs Static Typing

Python is a dynamically-typed language.

✅ You don’t need to declare the type of a variable.
🧠 Python figures it out when the program runs (at runtime).

🔍 Example:

pythonCopyEditx = 5       # int
x = "text"  # Now it's a string

This is allowed in Python, unlike in Java or C++.

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📊 Comparison Table