Skip to main content

'is' vs '==' in Python

 


Learning Sections          show

'is' vs '==' in Python

In Python, both is and == are used for comparisons, but they serve different purposes.

1. == (Equality Operator)

The == operator checks if the values of two objects are equal. It evaluates to True if the objects referred to have the same value.

Example:


# Using == to check equality
a = [1, 2, 3]
b = [1, 2, 3]
print(a == b)  # Output: True

2. is (Identity Operator)

The is operator checks if two variables point to the same object in memory. It evaluates to True if the objects referred to are the same.

Example:


# Using is to check identity
a = [1, 2, 3]
b = [1, 2, 3]
print(a is b)  # Output: False

c = a
print(a is c)  # Output: True

3. Key Differences

  • == checks for value equality. It returns True if the values of the two objects are the same.
  • is checks for reference equality. It returns True if both variables point to the same object (i.e., same memory location).

Understanding the difference between is and == is crucial when comparing objects in Python, especially when dealing with mutable types like lists and dictionaries.

Labels

Labels:

Popular posts from this blog

MultiProcessing in Python

  Learning Sections          show MultiProcessing in Python Multiprocessing in Python involves using the multiprocessing module to run multiple processes concurrently, taking advantage of multiple CPU cores. This module provides a higher level of concurrency than threading and is especially useful for CPU-bound tasks. Creating Processes You can create and start a new process by using the multiprocessing module: import multiprocessing def print_numbers (): for i in range ( 10 ): print ( i ) p1 = multiprocessing.Process ( target = print_numbers ) p1 . start () p1 . join () # Wait for the process to complete Using Process Pools The multiprocessing module provides a Pool class, which allows you to manage a pool of worker processes: from multiprocessing import Pool def square ( n ): return n * n with Pool ( 4 ) as pool : result = pool.map ( square , range (...
Read more

Learn Python

  Learning Sections Introduction to Python Comment, escape sequence and print statement in Python Variables and Data Types in Python Typecasting in Python User input in Python String slicing and operations on string in Python String methods in Python If else conditional statements in Python Match case statement in Python For loops in Python While loops in Python Break and continue statement in Python Functions in Python Function Arguments in Python introduction to lists in Python List methods in Python Tuples in Python Operations on tuple in Python f strings in Python Docstrings in Python Recursion in Python Sets in Python Set methods in Python Dictionaries in Python for Loop with else in Python Exception Handling in Python Finally keyword in Python Raising custom errors in Python Short hand if else statements Enumerate Function in Python Virtual Environment in Python How import works in Python if __nam...
Read more

Introduction to Python Programming

  Learning Sections      show History of Python Python was created by Guido van Rossum and first released in 1991. He wanted to create a language that was easy to read and simple to use. The name "Python" comes from the British comedy series "Monty Python's Flying Circus". Key Features of Python Readability: Python's syntax is clear and easy to read. Ease of Learning: Python is straightforward, making it great for beginners. High-Level Language: Python handles much of the complexity of the computer’s operations. Interpreted Language: Python runs code line-by-line, which makes debugging easier. Dynamically Typed: You don’t need to declare variable types. Extensive Standard Library: Python has many built-in modules for various tasks. Portability: ...
Read more