Python Keywords

Python Keywords are special reserved words that convey a special meaning to the compiler/interpreter. Each keyword has a special meaning and a specific operation. These keywords can’t be used as a variable. Following is the List of Python Keywords.

Consider the following explanation of keywords.

1. True – It represents the Boolean true, if the given condition is true, then it returns “True”. Non-zero values are treated as true.
2. False – It represents the Boolean false; if the given condition is false, then it returns “False”. Zero value is treated as false
3. None – It denotes the null value or void. An empty list or Zero can’t be treated as None.
4. and – It is a logical operator. It is used to check the multiple conditions. It returns true if both conditions are true. Consider the following truth table.

5. or – It is a logical operator in Python. It returns true if one of the conditions is true. Consider the following truth table.

6. not – It is a logical operator and inverts the truth value. Consider the following truth table.

7. assert – This keyword is used as the debugging tool in Python. It checks the correctness of the code. It raises an AssertionError if found any error in the code and also prints the message with an error.

Example:

Output:

a is dividing by Zero
Runtime Exception:
Traceback (most recent call last):
  File "/home/40545678b342ce3b70beb1224bed345f.py", line 4, in  
    assert b != 0, "Divide by 0 error"
AssertionError: Divide by 0 error

8. def – This keyword is used to declare the function in Python. If followed by the function name.

Output:

30

9. class – It is used to represents the class in Python. The class is the blueprint of the objects. It is the collection of the variable and methods. Consider the following class.

10. continue – It is used to stop the execution of the current iteration. Consider the following example.

Output:

1
3
4

11. break – It is used to terminate the loop execution and control transfer to the end of the loop. Consider the following example.

Example

Output:

0
1
2
End of execution

12. If – It is used to represent the conditional statement. The execution of a particular block is decided by if statement. Consider the following example.

Example

Output:

I am less than 18

13. else – The else statement is used with the if statement. When if statement returns false, then else block is executed. Consider the following example.

Example:

Output:

Odd

14. elif – This Keyword is used to check the multiple conditions. It is short for else-if. If the previous condition is false, then check until the true condition is found. Condition the following example.

Example:

Output:

Enter the marks:85
Very Good

15. del – It is used to delete the reference of the object. Consider the following example.

Example:

Output:

12
NameError: name 'a' is not defined

16. try, except – The try-except is used to handle the exceptions. The exceptions are run-time errors. Consider the following example.

Example:

Output:

division by zero

17. raise – The raise keyword is used to through the exception forcefully. Consider the following example.

Example

Output:

Exception: a should not exceed 2

18. finally – The finally keyword is used to create a block of code that will always be executed no matter the else block raises an error or not. Consider the following example.

Example:

Output:

division by zero
Finally always executed

19. for, while – Both keywords are used for iteration. The for keyword is used to iterate over the sequences (list, tuple, dictionary, string). A while loop is executed until the condition returns false. Consider the following example.

Example: For loop

Output:

1
2
3
4
5

Example: While loop

Output:

0
1
2
3
4

20. import – The import keyword is used to import modules in the current Python script. The module contains a runnable Python code.

Example:

Output:

5

21. from – This keyword is used to import the specific function or attributes in the current Python script.

Example:

Output:

5

22. as – It is used to create a name alias. It provides the user-define name while importing a module.

Example:

Output:

May

23. pass – The pass keyword is used to execute nothing or create a placeholder for future code. If we declare an empty class or function, it will through an error, so we use the pass keyword to declare an empty class or function.

Example:

24. return – The return keyword is used to return the result value or none to called function.

Example:

Output:

The sum is: 40

25. is – This keyword is used to check if the two-variable refers to the same object. It returns the true if they refer to the same object otherwise false. Consider the following example.

Example

Output:

True
False

Note: A mutable data-types do not refer to the same object.

26. global – The global keyword is used to create a global variable inside the function. Any function can access the global. Consider the following example.

Example

Output:

30
10

27. nonlocal – The nonlocal is similar to the global and used to work with a variable inside the nested function(function inside a function). Consider the following example.

Example

Output:

Inner function:  30
Outer function:  30

28. lambda – The lambda keyword is used to create the anonymous function in Python. It is an inline function without a name. Consider the following example.

Example

Output:

1
4
9
16
25

29. yield – The yield keyword is used with the Python generator. It stops the function’s execution and returns value to the caller. Consider the following example.

Example

Output:

1
2
3

30. with – The with keyword is used in the exception handling. It makes code cleaner and more readable. The advantage of using with, we don’t need to call close(). Consider the following example.

Example

31. None – The None keyword is used to define the null value. It is remembered that None does not indicate 0, false, or any empty data-types. It is an object of its data type, which is Consider the following example.

Example:

Output:

None

We have covered all Python keywords. This is the brief introduction of Python Keywords. We will learn more in the upcoming tutorials.