Python Keywords and Identifiers
Let’s talk about Python keywords and identifiers. We recently also covered a complete tutorial on installing and setting up Python for beginners in this Python tutorial.
Python Keywords
Well simply, Python keywords are the words that are reserved. That means you can’t use them as the name of any entities like variables, classes, and functions.
So you might be thinking what are these keywords for. They are for defining the syntax and structures of Python language.
You should know there are 33 keywords in Python programming language as of writing this tutorial. Although the number can vary in course of time. Also, keywords in Python is case sensitive. So they are to be written as it is. Here is a list of all keywords in python programming.
List of All Python Keywords
Keyword | Description |
---|---|
and | Logical operator |
as | Alias |
assert | For debugging |
break | Break out of Python loops |
class | Used for defining Classes in Python |
continue | Keyword used to continue with the Python loop by skipping the existing |
def | Keyword used for defining a function |
del | Used for deleting objects in Python |
elif | Part of the if-elif-else conditional statement in Python |
else | Same as above |
except | A Python keyword used to catch exceptions |
FALSE | Boolean value |
finally | This keyword is used to run a code snippet when no exceptions occur |
for | Define a Python for loop |
from | Used when you need to import only a specific section of a module |
global | Specify a variable scope as global |
if | Used for defining an “if” condition |
import | Python keyword used to import modules |
in | Checks if specified values are present in an iterable object |
is | This keyword is used to test for equality. |
lambda | Create anonymous functions |
None | The None keyword represents a Null value in Python |
nonlocal | Declare a variable with non-local scope |
not | Logical operator to negate a condition |
or | A logical operator used when either one of the conditions needs to be true |
pass | This Python keyword passes and lets the function continue further |
raise | Raises an exception when called with the specified value |
return | Exits a running function and returns the value specified |
TRUE | Boolean value |
try | Part of the try…except statement |
while | Used for defining a Python while loop |
with | Creates a block to make exception handling and file operations easy |
yield | Ends a function and returns a generator object |
Below is a simple example showing the usage of if-else in a python program.
var = 1; if(var==1): print("odd") else: print("even")
When we run the above program, Python understands the if-else block because of fixed keywords and syntax and then does the further processing.
What are Python Identifiers?
Python Identifier is the name we give to identify a variable, function, class, module, or other objects. That means whenever we want to give an entity a name, that’s called an identifier.
Sometimes variable and identifier are often misunderstood as the same but they are not. Well for clarity, let’s see what is a variable?
What is a Variable in Python?
A variable, as the name indicates is something whose value is changeable over time. In fact, a variable is a memory location where a value can be stored. Later we can retrieve the value to use. But for doing it we need to give a nickname to that memory location so that we can refer to it. That’s an identifier, the nickname.
Rules for Writing Identifiers
There are some rules for writing Identifiers. But first, you must know Python is case sensitive. That means Name and name are two different identifiers in Python. Here are some rules for writing Identifiers in Python.
- Identifiers can be a combination of uppercase and lowercase letters, digits, or an underscore(_). So myVariable, variable_1, variable_for_print all are valid python identifiers.
- An Identifier cannot start with a digit. So while variable1 is valid, 1variable is not valid.
- We can’t use special symbols like !,#,@,%,$ etc in our Identifier.
- Identifier can be of any length.
Though these are hard rules for writing identifiers, also there are some naming conventions which are not mandatory but rather good practices to follow.
- Class names start with an uppercase letter. All other identifiers start with a lowercase letter.
- Starting an identifier with a single leading underscore indicates the identifier is private.
- If the identifier starts and ends with two underscores, then that means the identifier is language-defined special name.
- While c = 10 is valid, writing count = 10 would make more sense and it would be easier to figure out what it does even when you look at your code after a long time.
- Multiple words can be separated using an underscore, for example, this_is_a_variable.
Here’s a sample program for python variables.
myVariable="hello world" print(myVariable) var1=1 print(var1) var2=2 print(var2)