Python Session - 6

Python Session - 6
Anirudha Anil Gaikwad
gaikwad.anirudha@gmail.com

What you learn
 Python Errors and Built-in Exceptions
 Python Exception Handling - Try,Except and Finally
 Python OOP
 Python Operator Overloading
 Constructor

Python Errors
When writing a program encounter errors.
Error caused by not following the proper structure (syntax) of the language is called syntax
error or parsing error.
We can notice here that a colon is missing in the if statement.
Errors can also occur at runtime and these are called exceptions.
for example, when a file we try to open does not exist (FileNotFoundError), dividing a
number by zero (ZeroDivisionError), module we try to import is not found (ImportError)
etc.
Whenever these type of runtime error occur, Python creates an exception object. If
not handled properly, it prints a traceback to that error along with some details
about why that error occurred.
x=10
if x>5
print(x)

Python Exceptions
An exception can be defined as an abnormal condition in a program resulting in the
disruption in the flow of the program.
Python provides us with the way to handle the Exception so that the other part of the
code can be executed without any disruption. However, if we do not handle the exception,
the interpreter doesn't execute all the code that exists after the that.
The Exception Handling in Python is one of the powerful mechanism to handle the
runtime errors so that normal flow of the application can be maintained.

Python Exception Handling
In Python, exceptions can be handled using a try statement.
A critical operation which can raise exception is placed inside the try clause and the code
that handles exception is written in except clause.
# import module sys to get the type of exception
import sys
randomList = ['a', 0, 2]
for entry in randomList:
try:
print("The entry is", entry)
r = 1/int(entry)
break
except:
print("Oops!",sys.exc_info()[0],"occured.")
print("Next entry.")
print()
print("The reciprocal of",entry,"is",r)

Catching Specific Exceptions
try:
# do something
pass
except ValueError:
# handle ValueError exception
pass
except (TypeError, ZeroDivisionError):
# handle multiple exceptions
# TypeError and ZeroDivisionError
pass
except:
# handle all other exceptions
pass

Raising Exceptions
exceptions are raised when corresponding errors occur at run time, but we can forcefully
raise it using the keyword raise.
try:
age = int(input("Enter the age?"))
if age<18:
raise ValueError;
else:
print("the age is valid")
except ValueError:
print("The age is not valid")

try...finally
try:
fileptr = open("file.txt","r")
try:
fileptr.write("Hi I am good")
finally:
fileptr.close()
print("file closed")
except:
print("Error")
We can use the finally block with the try block in which, we can pace the important code
which must be executed before the try statement throws an exception.

Custom Exceptions
sometimes you may need to create custom exceptions that serves your purpose.
In Python, users can define such exceptions by creating a new class. This exception class has
to be derived, either directly or indirectly, from Exception class. Most of the built-in
exceptions are also derived form this class.
class ErrorInCode(Exception):
def __init__(self, data):
self.data = data
def __str__(self):
return repr(self.data)
try:
raise ErrorInCode(2000)
except ErrorInCode as ae:
print("Received error:", ae.data)

Python OOP
Python is a multi-paradigm programming language. Meaning, it supports different
programming approach.
One of the popular approach to solve a programming problem is by creating objects. This is
known as Object-Oriented Programming (OOP).
 Class
 Object
 Method
 Inheritance .
 Encapsulation
 Polymorphism
 Data Abstraction

Python OOP - Class and Object
A class is a blueprint for the object.
class ClassName:
<statement-1>
.
.
<statement-N>
The object is an entity that has state and behavior. It may be any real-world object like
tree,fruit etc.
Everything in Python is an object, and almost everything has attributes and methods. All
functions have a built-in attribute
objName = ClassConstructor()

Python OOP - Method and Inheritance
 Methods are functions defined inside the body of a class. They are used to define the
behaviors of an object.
def MethodName(Argument1,Argument2):
 Inheritance provides code reusability to the program because we can use an existing
class to create a new class instead of creating it from scratch. In inheritance, the child
class acquires the properties and can access all the data members and functions defined
in the parent class. A child class can also provide its specific implementation to the
functions of the parent class.
class derived-class(base class1):

Python OOP - Inheritance Types

Python OOP - Encapsulation
Using OOP in Python, we can restrict access to methods and variables. This prevent data
from direct modification which is called encapsulation
Python OOP - Polymorphism
Polymorphism is an ability (in OOP) to use common interface for multiple form (data types).

Python OOP - Data Abstraction
we can also perform data hiding by adding the double underscore (___) as a prefix to the
attribute which is to be hidden. After this, the attribute will not be visible outside of the
class through the object.

Operator Overloading in Python
Python operators work for built-in classes. But same operator behaves differently with
different types. For example, the + operator will, perform arithmetic addition on two
numbers, merge two lists and concatenate two strings.
Oerator Overloading allows same operator to have different meaning according to the
context is called operator overloading

Python Constructor
A constructor is a special type of method (function) which is used to initialize the instance
members of the class.
There are two types of Constructors.
1) Parameterized Constructor
2) Non-parameterized Constructor
Constructor definition is executed when we create the object of this class.
In python, the method __init__ simulates the constructor of the class. This method is
called when the class is instantiated.

Python Session - 6

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