Adventures in Machine Learning

Mastering Python Keywords: Types Identification and Functionality

Python Keywords: An Overview

Python is a high-level programming language that is widely used in a multitude of applications and industries. It is renowned for its simplicity, readability, and ease of use.

One aspect of the Python language that may not be as commonly spoken about, however, is its use of keywords. In this article, we will dive into the world of Python keywords – what they are, why they are important, and how to identify and work with them.

Getting the List of Keywords

Before we delve into the details of Python keywords, let’s first take a look at how they can be obtained. Python provides a built-in module called keyword that allows us to retrieve a list of all the keywords in the language.

To access this module, we can simply type the following command into the Python console:

import keyword


This will print out a list of the 35 keywords that are currently used in Python. It is worth noting that these keywords are reserved words in the language and cannot be used as variable names or function names, amongst other things.

Identifying Python Keywords

Identifying Python keywords can be accomplished through a number of different methods – one of which is through the use of an Integrated Development Environment (

IDE). Most

IDEs for Python contain a feature that automatically highlights keywords in the code editor, making them easy to spot.

Another method of identifying keywords is through syntax errors. Whenever a Python code contains a syntax error, the

IDE or Python console will highlight the specific keyword that is causing the error.

This not only allows for quick identification of keywords, but also helps in debugging code.

Understanding Any Keyword

For those who are new to Python, or simply unfamiliar with a particular keyword, there is a built-in function called help() that can provide a brief explanation of its functionality. Simply typing “help(keyword)” into the Python console will provide a list of commands that you can use to look up information on all of the keywords in Python.

Types of Keywords

Python keywords can be classified into several different types based on their functionality:

1. Value Keywords – Keywords that represent a specific value or a range of values, such as True, False, and None.

2. Operator Keywords – Keywords that relate to arithmetic and logical operations, such as +, -, *, //, and not.

3. Condition Keywords – Keywords that define logic flow based on a set of conditions, such as if, else, andelif.

4. Iterative and Transfer Keywords – Keywords that relate to loops and block transfers of control, such as for, while, and break.

5. Returning Keywords – Keywords that relate to returning values or functions, such as return, yield, and pass.

6. Exception-Handling Keywords – Keywords that relate to handling errors and exceptions, such as try and except.

7. Variable Handling Keywords – Keywords that relate to variable management, such as del and global.

8. Asynchronous Programming Keywords – Keywords that relate to asynchronous programming, such as async and await.

Definition and Functionality of Python Keywords

Python keywords are reserved words that are specific to the Python language. They are used to define and implement the language’s specific functionalities.

For this reason, keywords cannot be used as variable names, function names, or other identifiers within the Python code. It is important to note that Python keywords are case-sensitive.

This means that keywords in uppercase, such as TRUE or WHILE, are not considered the same as their lowercase counterparts.


In conclusion, Python keywords are an essential aspect of the Python language. They determine the specific functionalities of the language and ensure that the code runs smoothly and effectively.

Identifying and working with Python keywords may take some practice, but with time and experience, their importance and usage will become second nature. 3)

Getting the List of Keywords

Python keywords are a fundamental part of the language, allowing developers to write efficient and effective code.

As previously mentioned, Python has a built-in module called “keyword,” which provides a list of all the reserved keywords in the language. This module can be used within a Python program to obtain a list of keywords automatically.

Keyword Module

The “keyword” module can be easily imported into a Python program by including the following line of code at the start of your script:

import keyword

Once imported, we can use the module to obtain the list of keywords using the “kwlist” attribute:


This will output a list of all the reserved keywords in Python, including “if,” “else,” “for,” “and,” and “not,” to name a few. Additionally, it is possible to check whether a given string is a keyword or not, by using the “iskeyword()” method provided by the “keyword” module:



The first line of code will return “True,” indicating that “if” is a Python keyword, while the second line of code will return “False,” confirming that “example” is not a keyword.

Help() Function

In addition to the “keyword” module, Python provides the “help()” function, which can be used to obtain documentation on modules, functions, and other related entities in Python. Specifically, the “help()” function can also be used to obtain information on Python keywords.

To use the “help()” function in Python, simply call the function followed by the keyword you need help with:


This will output a detailed description of the “for” keyword, including its place in the Python syntax, and the purpose it serves. 4)

Identifying Python Keywords

To effectively use Python keywords, it is important to be able to identify them in your code.

This can be done in one of two ways: through the use of an integrated development environment (

IDE) and through the use of syntax errors.



IDEs include features that will highlight keywords in the code editor as you type them. This makes it easy to identify keywords when writing new code, while also providing a visual reference for the keywords that are being used.

Syntax Error

Another way to identify keywords is through the use of syntax errors. Syntax errors occur when the Python interpreter identifies an issue with the structure or ordering of your code.

When a syntax error occurs, the Python interpreter will usually indicate which keyword is causing the error and where it is located in the code. For example, let’s say that you’ve declared a variable with the same name as a Python keyword:

if = 10

This code will result in a syntax error, with the interpreter indicating that there is an issue with an identifier declaration.

It’s important to note that this type of syntax error can be avoided by choosing appropriate variable names when writing code.


Python keywords are an important part of the Python language, providing the reserved functionalities that define the core of the language. By obtaining and using the list of keywords and following best practices for identifying them in code, developers can write effective and efficient Python programs.


Understanding Any Keyword

As mentioned earlier, Python has a help() function that can provide a description and examples of any keyword. This function can be incredibly helpful for developers looking to learn more about a keyword or for those who are simply unclear on how to use a particular keyword.

To use the help() function, simply enter the keyword you’d like to learn more about as a string within the parenthesis. For example, if we wanted to learn more about the “if” keyword, we could enter the following code:


This will output a detailed description of the “if” keyword and its usage within Python’s syntax.

The output will also provide examples of how to use the keyword in a Python program. 6)

Types of Keywords

Python keywords can be classified into 8 different types based on their functionality.

Value Keywords:

Value Keywords represent a specific value or a range of values that can be used within Python programs. These keywords include True, False, and None.

Boolean values are also included in this category. Operator Keywords:

Operator keywords, also known as logical operators, are used to perform arithmetic and logical operations on values or variables.

Python includes five operator keywords, including “and,” “or,” “not,” “in,” and “is.”

Condition Keywords:

Condition keywords are used to define the flow of logic in a Python program based on a set of conditions or values. The most common condition keywords include “if,” “elif,” and “else.”

Iterative and Transfer Keywords:

Iterative and Transfer keywords are used to create loops in Python programs.

These keywords include “for,” “while,” “break,” “continue,” “pass,” and “else” (used in conjunction with a “for” or “while” loop). Returning Keywords:

Returning keywords are used to return a value or function within a Python program.

This includes “return” and “yield.”

Exception-Handling Keywords:

Exception-handling keywords are used to manage errors and exceptions within Python programs. These keywords include “try,” “except,” “raise,” “finally,” “else,” and “assert.”

Variable Handling Keywords:

Variable handling keywords are used to manage variables within Python programs.

These include “del,” “global,” and “nonlocal.”

Asynchronous Programming Keywords:

Asynchronous programming keywords are used to manage asynchronous programming within Python programs. These include “async” and “await.”


Understanding and using Python keywords is essential for developing or working with Python programs. By understanding the types of keywords in Python and how to use them, developers can write more efficient and effective code.

The use of the help() function and syntax highlighting in an

IDE can also help to make the process of identifying and working with keywords easier and more streamlined. Python keywords are an integral part of the language and provide the necessary functionalities to write efficient and effective code.

There are eight types of Python keywords, including value, operator, conditional, iterative, returning, exception-handling, variable, and asynchronous programming keywords, all of which serve a specific purpose within the language. Identifying and understanding keywords through the use of the help() function and syntax highlighting in an

IDE is essential for developers to write effective Python programs.

It’s important to note that keywords are reserved and cannot be used for variable or function names. Overall, Python keywords serve as the backbone of the language and understanding their function and usage is critical for Python developers.

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