Python classes by Subba Raju Sir
Python has appeared as one of the most broadly used programming languages due to its user-friendly syntax, vast libraries, and flexibility. Whether you’re working in web development, data science, artificial intelligence, or automation, Python provides the tools needed to build powerful applications efficiently. Understanding the basics—variables, data types, and functions—is the first step in mastering Python programming. If you’re eager to learn Python, Python Classes by Subba Raju Sir at Coding Masters provide expert guidance to help you gain a solid foundation.
Understanding Variables in Python
A variable in Python is a name that refers to a value stored in memory. Unlike other programming languages, Python does not require explicit variable declaration. You can directly assign a value to a variable using the assignment operator (=).
Example:
x = 10 # Integer variabley = “Hello, Python!” # String variablez = 3.14 # Float variable
Python allows dynamic typing, meaning a variable can hold different data types during execution. Additionally, Python variables are case-sensitive, meaning Age and age are considered different variables.
Variable Naming Rules:
- A variable name must start with a letter (a-z, A-Z) or an underscore (_).
- It cannot start with a number.
- It can only contain alphanumeric characters and underscores.
- Variable names are case-sensitive.
- Reserved keywords cannot be used as variable names.
Types of Variables in Python:
- Global Variables – Defined outside of a function and accessible throughout the script.
- Local Variables – Defined within a function and accessible only inside that function.
- Instance Variables – Used in object-oriented programming and belong to an instance of a class.
- Class Variables – Shared among all instances of a class.
Exploring Data Types in Python
Python has several built-in data types that categorize the type of data a variable holds. Some common data types include:
Numeric Types
Python supports three main numeric types:
- Integer (int): Whole numbers such as 42 or -5.
- Floating Point (float): Decimal numbers such as 14 or -0.01.
- Complex (complex): Numbers with a real and imaginary part, like 3 + 4j.
Numeric types support mathematical operations such as addition, subtraction, multiplication, and division.
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