By Kumail Raza, Data Analytics

Object-Oriented Programming in Python - Aided with Diagrams

Language: English

All Levels

Course description

Concept Building of Objects, Classes, Inheritance, Operator Overloading.

Who should take the course?

-Anyone who is a beginner in Python Programming Language.

-Looking to build an understanding of Objects, Classes, and Inheritance, Overloading.

-Looking to work on Python for Data Science

This course includes; -Class, -Objects, -Inheritance (Multi-level and Multi-layers of Inheritance) -Overriding the functionality of Parent Class -Method Resolution Order -Operator Overloading with concepts, diagrams, syntax and examples and Some of the Common Operator Overloading Special Functions in Python # Operator Expression Internally # Addition p1 + p2 p1.__add__(p2) # Subtraction p1 - p2 p1.__sub__(p2) # Multiplication p1 * p2 p1.__mul__(p2) # Power p1 ** p2 p1.__pow__(p2) # Division p1 / p2 p1.__truediv__(p2)

Related Skills

Data Science

Course overview - 6

An Overview of Object-Oriented Programming in Python and Topics to be Covered
An Understanding of Objects and Classes with details
Instantiating the Class as Objects with more Details
Inheritance, Parents and Child Class and Use of Super Functions.
Levels of Inheritance and Method Resolution Order
Operator Overloading

Learners who have already enrolled in this course

Sawyer
Tom

Meet your instructor

Kumail RazaData Analytics

Love to help people out on Data Analysis Expression Power BI and Python Graduate in Business Finance and Computer Science I am a BI Developer | Instructor | Facilitator graduate in Business Finance and Computer Science. Blogger on Microsoft Power BI Community | Complimentary Editor on Enterprise DNA https://community.powerbi.com/t5/user/viewprofilepage/user-id/22640 Certified in Statistics, Data Analytics, Machine Learning, and Data Visualization. I have been supporting the data-driven decision, consulting, creating, implementing and automating Data Intelligence and Analytics Strategies while identifying KPIs in the process and how it affects the overall business strategy. Hands-on experience (Intermediate to advanced level) in using the following tools: Business Intelligence | Analytics: Microsoft Azure Machine Learning Studio, Microsoft Power BI, Mode Analytics, Microsoft Excel / Google Spreadsheet, Python (Pandas, Pillow, Openpyxl, matplotlib) Database: SQL Server 2016 (ETL into Power BI), MYSQL, MS SQL Server and Web ETL Documentation: Confluence, Dropbox Paper, Dropbox. Adobe Acrobat PDF, Microsoft Word, and Microsoft Excel. Diagram | Wireframe | Mockups: Balsamiq Mockups, Drawdotio, Microsoft Visio, Microsoft Excel, and Word Smart Art Graphic. Analyzed CRM Applications: ZOHO CRM, Rethink Residential and Commercial (Built on Salesforce Platform), Podio, Plan plus, ConvergeEnterprise, dotloop, Microsoft Dynamics NAV.