Title: Python Data Types and Variables
Python is a dynamically typed language. Let's look at the basic data types.
1. int – Represents integers. Example: age = 25
2. float – For decimal values. Example: pi = 3.14
3. str – Represents text. Example: name = "John"
4. bool – Only two values: True or False. Example: is_active = True
5. list – A collection of items. Example: fruits = ["apple", "banana"]
A variable is a name that stores a value. Python doesn't require you to declare types; just assign the value.
Let’s see an example:
name = "Alice"
age = 30
pi = 3.14
These are all valid Python variables.
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Welcome to Python data types and variables! Python is a dynamically typed language, which means you don't need to declare variable types explicitly. Python automatically determines the type based on the value you assign to a variable.
Let's explore the basic data types in Python. First, we have integers, represented by the int type. These are whole numbers like 25. Next, we have floats for decimal values like 3.14. These two types handle all your numeric data needs.
Now let's look at text and boolean types. Strings, or str type, represent text data like names or messages. They're enclosed in quotes. Boolean values, or bool type, can only be True or False. These are essential for making decisions in your code.
Lists are collections that can hold multiple items, like a list of fruits containing apple and banana. Variables in Python are like containers that store values. The beauty of Python is that you don't need to declare what type of data a variable will hold - just assign the value and Python figures it out.
To summarize what we've learned: Python uses dynamic typing, meaning no variable declarations are needed. The five basic data types are integers, floats, strings, booleans, and lists. Variables automatically adapt to whatever values you assign them. This flexibility is what makes Python so beginner-friendly and powerful for rapid development.