Python Operators and Expressions: A Complete Tutorial Guide

Added:

Operator Basics
Arithmetic Ops
String Ops
Precedence Rules
Associativity
Relational Ops
Logical Ops
Bitwise Ops
Assign & Members
Identity Ops

Operator Basics

2:02
Playing Section
  • 1

    Defines operators and operands with practical examples.

  • 2

    Explains expression evaluation through operator interactions.

  • 3

    Categorizes Python operators into seven distinct groups.

Basic Python syntax and how to write and execute a simple script.
Fundamental Python data types, including integers, floats, booleans, and strings.
The concept of variables and how variable assignment works in Python.
Elementary mathematical concepts (such as addition, division, and remainders) and basic logic (AND, OR, NOT).
Control Flow structures (if-elif-else statements and loops) that utilize relational and logical operators for decision-making.
Operator Precedence and Associativity rules to understand how Python evaluates complex compound expressions.
Operator Overloading in Object-Oriented Programming (OOP) to define custom behaviors for operators in user-defined classes.
List Comprehensions and conditional expressions (ternary operators) to write more concise and Pythonic code.
189 views62likes46:57@pramodpoladicse7050Original Release: 2026-05-25

Python supports seven categories of operators: arithmetic (+, -, *, /, %, //, **) for mathematical operations, relational (==, !=, >, <, >=, <=) for comparisons, logical (and, or, not) for boolean operations, assignment (=, +=, -=, etc.) for variable assignment, bitwise (&, |, ~, ^, >>, <<) for bit-level operations, membership (in, not in) for sequence checking, and identity (is, is not) for memory location comparison. Operator precedence determines evaluation order, with parentheses overriding default priority, and associativity rules (left-to-right for most, right-to-left for exponentiation) resolve equal-precedence operations.