Not Equal operator in Python

In Python, the "not equal" operator is used to compare two values and determine whether they are not equal to each other. It is represented by the symbol !=. The result of the comparison is a Boolean value: True if the values are not equal, and False if the values are equal.

Numeric Comparison

x = 5 y = 10 result = x != y print(result) # Output: True

In this example, x is not equal to y, so the result is True.

String Comparison

name1 = "Willaim" name2 = "Mary" result = name1 != name2 print(result) # Output: True

Here, the strings "Alice" and "Bob" are not equal, so the result is True.

List Comparison

list1 = [1, 2, 3] list2 = [1, 2, 4] result = list1 != list2 print(result) # Output: True

In this case, the lists list1 and list2 are not equal because they have different elements at the third position.

Boolean Comparison

bool1 = True bool2 = False result = bool1 != bool2 print(result) # Output: True

Here, bool1 is not equal to bool2, so the result is True.

Mixed Data Types

number = 5 text = "5" result = number != text print(result) # Output: True

Even though the values number and text appear similar, they are of different types (integer and string), so the result is True.

Comparison with None

value = None result = value != 10 print(result) # Output: True

In this example, value is None, which is not equal to the integer 10.

Python Comparison Operators

A comparison operator , also called python relational operator, compares the values on both sides of the operator to classify the relation between them as either true or false .


How to use not equal operator in python

Conclusion

Remember that the "not equal" operator only checks for inequality between two values. If you want to check for both inequality and the data types being the same, you would need to use more complex comparisons, like using the != operator and additionally comparing the types using the type() function.






Related Topics
  1. Python Interview Questions (Part 2)
  2. Python Interview Questions (Part 3)
  3. What is python used for?
  4. Is Python interpreted, or compiled, or both?
  1. Explain how python is interpreted
  2. How do I install pip on Windows?
  3. How do you protect Python source code?
  4. What are the disadvantages of the Python?
  5. How would you achieve web scraping in Python?
  6. How to Python Script executable on Unix
  7. What is the difference between .py and .pyc files?
  8. What is __init__.py used for in Python?
  9. What does __name__=='__main__' in Python mean?
  10. What is docstring in Python?
  11. What is the difference between runtime and compile time?
  12. How to use *args and **kwargs in Python
  13. Purpose of "/" and "//" operator in python?
  14. What is the purpose pass statement in python?
  15. Why isn't there a switch or case statement in Python?
  16. How does the ternary operator work in Python?
  17. What is the purpose of "self" in Python
  18. How do you debug a program in Python?
  19. What are literals in python?
  20. Is Python call-by-value or call-by-reference?
  21. What is the process of compilation and Loading in python?
  22. Global and Local Variables in Python
  23. Static analysis tools in Python
  24. What does the 'yield' keyword do in Python?
  25. What is the difference between 'is' and '==' in python
  26. What is the difference between = and == in Python?
  27. How are the functions help() and dir() different?
  28. What is the python keyword "with" used for?
  29. Why isn't all memory freed when CPython exits
  30. Difference between Mutable and Immutable in Python
  31. Python Split Regex: How to use re.split() function?
  32. Accessor and Mutator methods in Python
  33. How to Implement an 'enum' in Python
  34. What is Object in Python?
  35. How to determine the type of instance and inheritance in Python
  36. Python Inheritance
  37. How is Inheritance and Overriding methods are related?
  38. How can you create a copy of an object in Python?
  39. Class Attributes vs Instance Attributes in Python
  40. Static class variables in Python
  41. Difference between @staticmethod and @classmethod in Python
  42. How to Get a List of Class Attributes in Python
  43. Does Python supports interfaces like in Java or C#?
  44. How To Work with Unicode strings in Python
  45. Difference between lists and tuples in Python?
  46. What are differences between List and Dictionary in Python
  47. Different file processing modes supported by Python
  48. Python append to a file
  49. Difference Between Multithreading vs Multiprocessing in Python
  50. Is there any way to kill a Thread in Python?
  51. What is the use of lambda in Python?
  52. What is map, filter and reduce in python?
  53. Is monkey patching considered good programming practice?
  54. What is "typeerror: 'module' object is not callable"
  55. Python: TypeError: unhashable type: 'list'
  56. How to convert bytes to string in Python?
  57. What are metaclasses in Python?