For most of the jobs in the IT industry, when you look for the skills required, you will find Python at the top of the list. This is the foremost reason that IT professionals are interested in learning Python. By learning this versatile and most in-demand language and getting certified, most professionals add value to their portfolios and become the most preferred candidate for employers.
Python is used in nearly all sectors including business sectors, web development, machine learning, data science, and others. This is why many big names are looking for highly skilled, trained, and certified Python Developers to serve purposes of increasing efficiency as well as productivity.
Let’s look at what Python is and one of its most important features called inheritance.
Why Learn Python?
- It offers huge career opportunities and a lucrative career with an attractive salary. Amazon, IBM, Netflix, Google, NASA, Facebook, YouTube, Accenture, etc are some of the biggest companies looking for Python Developers.
- The median annual salary of a Python developer is around USD 92,000 and may go as high as USD 137,000 with experience, knowledge, and certifications
- Python is popular for being a versatile, robust, and scalable language that provides options for extensible visualizations and graphics. Some of the popular libraries offered by Python are PyBrain, PyTorch, NumPy, SymPy, ScikitLearn, Pandas, Tensorflow, matplotlib.
- Python is widely used by professionals in many IT roles including data science, Machine Learning, Web Development, Scripting and Automation, testing frameworks, etc.
- Python is easy to use with very simple syntax making it easier to understand and learn
Python Overview
Python is a high-level programming language that is object-oriented and possesses built-in data structures and dynamic semantics. Python is known for its support for multiple programming paradigms including functional programming, data structures, and object-oriented.
Python supports various modules and packages that enable developers to reuse the code and facilitate program modularity. Inheritance is one of the important features of Python and is discussed below.
What is Inheritance?
In Python, we work with classes. Inheritance is the process of inheriting the properties of the parent class into a child class. It is generally referred to as the capability of one class to inherit or derive the properties from another class. It is an object-oriented programming concept.
The main benefits of inheritance are:
- It allows for representing real-world relationships between the two classes (parent class and child class)
- It allows for code reusability which means that you don’t have to write the same code repeatedly. You can inherit the properties you need in a child class.
- Inheritance is transitive in nature which implies that if a child class inherits the properties of a parent class, all the sub-classes will also acquire the properties of a parent class.
Inheritance in Python: An Example
class Big():
def first(self):
print(‘first example’)
class Small(Big):
Def second(self):
print(‘second example’)
Ob = Small()
ob.first()
ob.second()
The output for the above code appears as:
first example
second example
Subclassing
The process of calling a constructor of the parent class is called subclassing which is done by mentioning the name of the parent class while declaring the child class. By subclassing, a child class can identify its parent class.
Subclassing: An example
class Big:
def __init__(fself, fname, fid):
fself.name = fname
fself.id = fid
def view(fself):
print(fself.name , fself.id)
Class Small(Big):
def __init__(fself, fname, fid):
Big.__init__(fself, fname, fid)
Fself.surname = ‘John’
def view(fself)
print( “Name”, fself.fname, “id” , fid)
ob = Small (“simplilearn” , “12345”)
ob.view()
Output:
Simplilearn
12345
Types of Inheritance
Inheritance is of four types, categorized on the basis of the number of child and parent classes that are involved while coding.
They are:
Single level
Multiple levels
Multilevel
Hierarchical
Single level
This is categorized by one child class inheriting properties only from the single parent class. Example:
class Big:
def f1(self):
print(“first function”)
class Small(Big):
def f2(self):
print(“second function”)
ob = Small()
ob.f1()
ob.f2()
Multiple Inheritance
This type of inheritance is categorized when a child class inherits properties from more than one parent class.
Example:
class Big:
def f1(self):
print(“first function”)
class Big2:
def f2(self):
print(“second function”)
class Small(Big , Big2) :
def f3(self):
print(“third function”)
Ob = Small()
ob.f1()
ob.f2()
ob.f3()
Multilevel Inheritance
This type of inheritance is categorized when a child class becomes a parent class for another child class.
Example
class Big:
def f1(self):
print(“first function”)
class Small(Big):
def f2(self):
print(“second function”)
Class Small2(Small):
def f3(self)
print(“third function”)
ob = Small2()
ob.f1()
ob.f2()
ob.f3()
Hierarchical Inheritance
This type of inheritance is categorized when multiple classes inherit properties from the same parent class.
Example:
class Big:
def f1(self):
print(“first function”)
class Small(Big):
def f2(self):
print(“second function”)
class Small2((Big):
def f3(self):
print(“third function”)
ob = Small()
ob1 = Small2()
ob.f1()
ob.f2()
Hybrid Inheritance
This type of inheritance is categorized when multiple inheritances take place in a single program.
Example:
class Big:
def f1(self):
print(“first function”)
class Small(Big):
def f2(self):
print(“second function”)
class Small2(Big):
def f3*(self):
print(“third function”)
Class Small3(Big, Small):
def f4(self):
print(“fourth function”)
ob = Small3()
ob.f1()
We have now seen the different categories of inheritance in Python. This is a very important concept of object-oriented programming. It makes the code readable, reusable, and allows for the transition of features and properties which helps you to make your code optimized and efficient.
Conclusion
You already know that Python is the most popular language among developers across the world. To learn all the important concepts of Python, you can enroll yourself in an online training course. These courses enable you to gain the skills required to become a Python developer and learn the most important libraries and features of Python.
These courses generally allow you to learn at your own pace with the comfort zone of your place. Enterprise-class learning management systems and expert-led training make these courses the most feasible move for learning Python.
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