DataHour: Basic Concepts of Object Oriented Programming in Python

Online 10-02-2023 07:00 PM to 10-02-2023 08:00 PM
  • 6804


  • Knowledge and Learning.


DataHour Recording

Find the resources used in the DataHour HERE.

About the DataHour:

The Object-Oriented Programming (OOP) paradigm in Python utilizes objects and classes for programming purposes. Its purpose is to simulate real-world concepts such as inheritance, polymorphism, encapsulation, etc. The core idea of OOP is to combine data and the functions operating on that data into a single unit, making it inaccessible to other parts of the code.

In this DataHour, Partha will discuss all the principles in detail. He will also be discussing how by using classes and objects, developers can assign different tasks to different objects, thus allowing them to make changes to one object without affecting the other. Furthermore, OOP provides a way to better manage complexity by breaking down large programs into smaller, logical parts.

A basic understanding of the Python programming language and interest in Data Science.

Who is this DataHour for?

  • Students & Freshers who want to build a career in the technical domain.
  • Working professionals who want to transition to the Data-tech domain.
  • Data science professionals who want to accelerate their career growth.

Note: E-certificates will be provided within 24 - 48 hours of the session only to those who have attended the entire webinar. Please make sure to join the zoom webinar with your correct name and email address to ensure that your certificate is properly credited to you.


Partha Swain

Senior Data Engineer

Partha is a Senior Data Engineer by profession having 9+ years of experience in complete software development & analytics life cycle specializing in BigData & ML having extensive experience in data integration and business analytics. He is a developer with a passion for technology, learning, and rising to new challenges who is currently working as an individual contributor. He has expertise in technologies including Cloud Technology, Python, Hadoop, Hive, Spark, AWS and Cassandra.

Connect with him on Linkedin 


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