1. Ultimate Reference to Python Keywords
Python language provides a list of reserved words or keywords that we mostly use while writing our programs. These are the words that we cannot modify or change for any purpose and the interpreter uses these words to understand the program. Further, these built-in keywords build the structure of the program and we cannot utilize them for naming variables, classes, functions, etc. In this tutorial, we will provide you with all the keywords and soft keywords in Python programming, which will be an ultimate and up-to-date guide or reference for the developers.
2. Search Ultimate Reference For Python Keywords
The below table comprises of complete list of keywords in an alphabetical manner. Use the search field to find the keyword from the list. Further, this is an ultimate and up-to-date list of all keywords or reserved words in Python programming.
2.1. Alphabetical Reference
| Keyword | Description |
| and | A logical operator |
| as | Creates an alias |
| assert | For debugging |
| async | Define asynchronous functions |
| await | Suspend or pause the execution of asynchronous functions to perform the awaited operation |
| break | To break out of a loop |
| class | To define a class |
| continue | Unlike break, continues to the next iteration in the loop |
| def | Define a function with this keyword |
| del | Delete an object with this keyword |
| elif | Short for else if, used in conditional statements |
| else | Used in conditional statements |
| except | Used with exceptions, what to do when an exception occurs |
| False | Boolean value, used for comparison operations |
| finally | Used with exceptions, executes a block even with exception |
| for | To create a for loop |
| from | To import specific parts of a module |
| global | Declares a global variable |
| if | Makes a conditional statement |
| import | Imports a module |
| in | It checks if a value is present in a list, tuple, etc. |
| is | To test if two variables are equal |
| lambda | Creates an anonymous function |
| None | Represents a null value |
| nonlocal | Declares a non-local variable |
| not | A logical operator |
| or | A logical operator |
| pass | A null statement, a statement that will do nothing |
| raise | Raises an exception |
| return | To exit a function and return a value |
| True | Boolean value, used for comparison operations |
| try | Used with except statement |
| while | Creates a while loop |
| with | Used to simplify exception handling |
| yield | Returns a list of values from a generator |
3. Dynamically Get All Python Keywords
In Python programming, we can dynamically retrieve all the keywords using some script. Below are the two methods to acquire all the keywords in the Python programming package.
Get All Python Keywords
Method 1
# Get a complete keyword list import keyword python_keywords = keyword.kwlist print(python_keywords)
Method 2
# Get a complete keyword list help() # Run this command help> keywords # Input "keywords" upon prompt
4. Python Soft Keywords List
Some keywords or identifiers in Python are reserved in specific contexts, which are known as soft keywords and are listed below.
| Keyword | Description |
| _ | A placeholder variable in Python |
| match | A pattern matching expression that allows handling of complex conditional statements |
| case | Used within the match to define specific patterns |
| type | Used for type hinting to get data types of function parameters |
5. Dynamically Get All Python Soft Keywords
Get All Soft Keywords
# Get Soft keywords list
import keyword
soft_keywords = keyword.softkwlist
print("Soft Keywords:", soft_keywords)
6. Reference Links
For this ultimate and up-to-date reference tutorial of Python keywords and soft keywords, which contains all keywords, we consulted and compiled resources from the below websites.
- We explored W3schools.com as a reference to build up this ultimate guide of all keywords and soft keywords.
- Also, we consulted Python's official reference to finalize all keywords.