Keywords and Identifiers in Python

          Just as every spoken language has its own set of terms, every programming language has its vocabulary. Almost all high-level computer languages have a list of keywords. When referring to high-level programming languages, the keywords if, else, while, for, break, etc., are among the most commonly used. These terms are also known as reserved keywords in Python. Programming language keywords have some established meaning. We are unable to give keywords a value. We typically utilize variables to store the value. As well as giving names to the things, such as classes, functions, and variables, we also use identifiers to refer to these names. We will delve further into the idea of keywords and identifiers in Python programming in this essay.

          Due to the case sensitivity of the Python programming language, reserved terms in Python must be capitalized. When referring to keywords in Python, the term "reserved keyword" is used to indicate that the term has a certain meaning and is only ever used for that intent. It is not possible to assign the restricted terms any other meaning. Reserved terms are only meant to be used in specific contexts. Reserved words lose their strictly defined meaning if their case is altered. No longer will it be taboo to use this word. This is a diagram that outlines Python's set of reserved terms.

         Python is a computer language that focuses on objects and makes use of keywords to organize and label code. Python's keywords are never intended to be used as identifiers, but rather to define a particular operation, job, or action (variables). The Python language has 33 special terms set aside for special purposes. Common ones include int, float, import, if, Elif, True, False, None, etc. Except for None, True, and False, all of the keywords are written in uppercase. Look at these important phrases:

The following are examples of frequently encountered Python-reserved terms. Let’s see an example of keywords:

We've used int, for, in, def, if, or, else, True, and False in the example provided.

          In Python, identifiers are the names assigned to things like variables, classes, and functions. To avoid a programming mistake, we must avoid naming things with keywords. Python names must adhere to a set of guidelines.

Let’s see examples of identifiers in python:

Python recognizes the following names for lists (a and b), f1, and g1 in the sample provided (this is a name given to a function)

It's possible to use a variety of naming conventions, such as camel case, snake case, Unicode, spaces, and case-insensitivity. It is called the "camel case" when two or more words are combined into one identifier name, with the first character of each word capitalized (e.g., Batman). If an identifier name contains multiple items separated by spaces or underscores (like batman), use snake case. Any variable or function whose name begins with an underscore (_) will not be imported by a from x import * statement because the underscore has a unique meaning as an identifier.

          Python's keyword and identifier syntaxes are distinguished in the following chart.

Python identifiers and terms must be used correctly, so you must have a firm grasp of their context. It is important to check the syntax, case sensitivity, and usefulness of each identifier and keyword. The syntax describes how to employ these terms, case sensitivity clarifies whether they demand capitalized or lowercase letters, and the usability section clarifies whether or not they are suitable for use in your code. A well-organized and easily-read software is more likely to run smoothly and with fewer bugs. And if problems do arise, you'll have an easier time debugging if you do.

In this article we have got the concept of keywords and identifiers in python and how we can use them into our code.  To learn more about Python topics check our series of articles on Python. Stay updated to latest AI and Data Science trends by signing up to our newsletter.