Python keywords are reserved words that cannot be used for any other purpose such as variable names, function names, or other identifiers. Like other programming languages, all keywords are available without any import statement.
Currently, there are 35 keywords in Python.
1. How to List all Keywords
We can get a list of available keywords in the current Python version using the help()
command.
>>> help("keywords")
Program output.
Here is a list of the Python keywords. Enter any keyword to get more help.
False class from or
None continue global pass
True def if raise
and del import return
as elif in try
assert else is while
async except lambda with
await finally nonlocal yield
break for not
To get the information of a specific keyword, pass the keyword name into help() command.
>>> help("break")
The program output.
The "break" statement
*********************
break_stmt ::= "break"
"break" may only occur syntactically nested in a "for" or "while"
loop, but not nested in a function or class definition within that
loop.
It terminates the nearest enclosing loop, skipping the optional "else"
clause if the loop has one.
2. Using Python Keywords
The following table summarizes all the keywords in Python programming language, and how to use these keywords with simple examples.
Keyword Type | Keywords List |
---|---|
Value Keywords | True , False , None |
Operator Keywords | and , or , not , in , is |
Flow Control Keywords | if , elif , else , for , while , break , continue , else |
Structural Keywords | def , class , with , as , pass , lambda |
Import Keywords | import , from |
Variable Declaration Keywords | del , global , nonlocal |
Value Returning Keywords | return , yield |
Exception Handling Keywords | try , except , raise , finally , assert |
Asynchronous Programming Keywords | async , await |
2.1. Value Keywords
Value keywords are assigned as values to the variables.
# True
Boolean value and same as 1. It is the result of a comparison operation.
print(5 < 6) #True
# False
Boolean value and same as 0. It is the result of a comparison operation.
print(5 > 6) #False
# None
It is used to define a null
value, or no value at all. None is not the same as 0, False, or an empty string. None is a datatype of its own (NoneType) and only None can be None.
x = None
if x:
print("x is True")
elif x is False:
print ("x is False")
else:
print("x is None") #Prints 'x is None'
2.2. Operator Keywords
Operator keywords are used to compare a given value or expression against another value or expression. They produce a boolean result.
# and
A logical AND operator. Return True
if both statements are True
.
x = (5 > 3 and 5 > 10)
print(x) #False
# or
A logical OR operator. Returns True
if either of two statements is true. If both statements are false, the returns False
.
x = (5 > 3 or 5 > 10)
print(x) #True
# not
A logical operator and reverses the value of True or False.
x = False
print(not x) #True
# in
It is used to check if a value is present in a sequence (list, range, string etc.). Also used to iterate through a sequence in a for
loop.
fruits = ["apple", "banana", "cherry"]
if "banana" in fruits:
print("yes")
for x in fruits:
print(x)
# is
It is used to test if two variables refer to the same object.
a = ["apple", "banana", "cherry"]
b = ["apple", "banana", "cherry"]
c = a
print(a is b) # False
print(a is c) # True
2.3. Flow Control Keywords
Flow control keywords are used to control the application flow and write conditional statements.
#
if
It is used to create conditional statements that allows us to execute a block of code only if a condition is True
.
x = 5
if x > 3:
print("The statement is true")
# elif
It is used in conditional statements and is short for else if
.
i = 5
if i > 0:
print("Positive")
elif i == 0:
print("ZERO")
else:
print("Negative")
# else
It decides what to do if the condition is False
in if..else
statement.
i = 5
if i > 0:
print("Positive")
else:
print("Negative")
It can also be use in try...except
blocks.
try:
x > 10
except:
print("Something went wrong")
else:
print("Normally execute the code")
# for
It is used to create a for loop. A for loop can be used to iterate through a sequence, like a list, tuple, etc.
for x in range(1, 9):
print(x)
# while
It is used to create a while loop. The loop continues until the conditional statement is false.
x = 0
while x < 9:
print(x)
x = x + 1
# break
It is used to break out a for loop, or a while loop.
i = 1
while i < 9:
print(i)
if i == 3:
break
i += 1
# continue
It is used to end the current iteration in a for loop (or a while loop), and continues to the next iteration.
for i in range(9):
if i == 3:
continue
print(i)
# else
It decides what to do if the condition is False in if..else statement.
i = 5
if i > 0:
print("Positive")
else:
print("Negative")
It can also be use in try…except blocks.
x = 5
try:
x > 10
except:
print("Something went wrong")
else:
print("Normally execute the code")
2.4. Structural Keywords
Structural Keywords are used to declare and create various language constructs such as classes etc.
# def
It is used to create or define a function.
def my_function():
print("Hello world !!")
my_function()
# class
It is used to create a class.
class User:
name = "John"
age = 36
# with
It is used to simplify exception handling.
# as
It is used to create an alias.
import calendar as c
print(c.month_name[1]) #January
# pass
t is used as a placeholder for future code. When the pass statement is executed, nothing happens, but you avoid getting an error when an empty code is not allowed.
Empty code is not allowed in loops, function definitions, class definitions, or in if statements.
for x in [0, 1, 2]:
pass
# lambda
It is used to create small anonymous functions. They can take any number of arguments, but can only have one expression.
x = lambda a, b, c : a + b + c
print(x(5, 6, 2))
2.5. Import Keywords
Import keywords are used to import other classes and modules in the program.
# import
It is used to import modules.
import datetime
# from
It is used to import only a specified section from a module.
from datetime import time
2.6. Variable Declaration Keywords
Variable declaration keywords are used to declare the variables in different scopes.
# del
It is used to delete objects. In Python everything is an object, so the del
keyword can also be used to delete variables, lists, or parts of a list, etc.
x = "hello"
del x
# global
It is used to create global variables from a no-global scope, e.g. inside a function.
def myfunction():
global x
x = "hello"
# nonlocal
It is used to declare that a variable is not local. It is used to work with variables inside nested functions, where the variable should not belong to the inner function.
def myfunc1():
x = "John"
def myfunc2():
nonlocal x
x = "hello"
myfunc2()
return x
print(myfunc1())
2.7. Value Returning Keywords
These keywords are used to return the value from function or a program.
# return
It is used to exit a function and return a value.
def sumNum():
return 3+3
# yield
It is used to end a function and it returns a generator.
2.8. Exception Handling Keywords
These keywords are used to handle the exceptional conditions and throw exceptions where needed in the program.
# try
It defines a block of code ot test if it contains any errors.
# except
It defines a block of code to run if the try block raises an error.
try:
x > 3
except:
print("Something went wrong")
# raise
It is used to raise an exception, manually.
x = "hello"
if not type(x) is int:
raise TypeError("Only integers are allowed")
# finally
It defines a code block which will be executed no matter if the try block raises an error or not.
try:
x > 3
except:
print("Something went wrong")
finally:
print("I will always get executed")
# assert
It can be used for debugging the code. It tests a condition and returns True
, if not, the program will raise an AssertionError.
x = "hello"
assert x == "goodbye", "x should be 'hello'" # AssertionError
2.9. Asynchronous Programming Keywords
These keywords help writing the asynchronous application flows.
# async
It is used to declare a function as a coroutine, much like what the @asyncio.coroutine
decorator does.
async def ping_server(ip):
# await
t is used to call async
coroutine.
async def ping_local():
return await ping_server('192.168.1.1')
Happy Learning !!
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