Python Object Oriented Programming (OOPs) concept
Python Object Oriented Programming (OOPs) concept, available at $59.99, has an average rating of 4.6, with 14 lectures, based on 28 reviews, and has 196 subscribers.
You will learn about Basic OOPs Concept Different Types of Methods (Instance, Static and Class) Constructor vs Method Types of variables (Instance, static and Local) How to access the variables Passing members of one class to another Inner classes Garbage collectors and destructors Inheritance and Types of inheritance Composition vs. Inheritance Composition vs. Aggregation MRO Algorithm Super Method to access parent constructor Polymorphism and Ducktyping Operator, Method and Constructor overloading Alternate way to achieve Method and Constructor overloading Abstract classes and Abstract methods Interfaces When to go for Abstract classes, Interfaces and Concrete classes __str__ and __repr__ Real-Time banking application implementation using OOPs This course is ideal for individuals who are Anyone wanting to learn Object-Oriented programming with Python It is particularly useful for Anyone wanting to learn Object-Oriented programming with Python.
Enroll now: Python Object Oriented Programming (OOPs) concept
Summary
Title: Python Object Oriented Programming (OOPs) concept
Price: $59.99
Average Rating: 4.6
Number of Lectures: 14
Number of Published Lectures: 14
Number of Curriculum Items: 14
Number of Published Curriculum Objects: 14
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Basic OOPs Concept
- Different Types of Methods (Instance, Static and Class)
- Constructor vs Method
- Types of variables (Instance, static and Local)
- How to access the variables
- Passing members of one class to another
- Inner classes
- Garbage collectors and destructors
- Inheritance and Types of inheritance
- Composition vs. Inheritance
- Composition vs. Aggregation
- MRO Algorithm
- Super Method to access parent constructor
- Polymorphism and Ducktyping
- Operator, Method and Constructor overloading
- Alternate way to achieve Method and Constructor overloading
- Abstract classes and Abstract methods
- Interfaces
- When to go for Abstract classes, Interfaces and Concrete classes
- __str__ and __repr__
- Real-Time banking application implementation using OOPs
Who Should Attend
- Anyone wanting to learn Object-Oriented programming with Python
Target Audiences
- Anyone wanting to learn Object-Oriented programming with Python
In this program we are going to discuss Object-Oriented Programming using Python in detail, This course is designed for users that already have a basic knowledge of Python.
In this curriculum we are going to talk about an understanding of the OOPs concept, Different Types of Methods i.e. Instance methods, static method, and class methods, Types of variables, Difference between constructor and method, Accessing instance, static and local variables. Here we are also going to talk about how to pass members of one class to another class. Discussion on the concept of inner classes.
We will talk about the garbage collectors and destructors as well.
Some of the core concepts like Inheritance, Types of Inheritances, Composition vs Inheritance, composition, and aggregation we are going to talk in detail. We are going to talk about hierarchical inheritance and the MRO algorithm behind it also we are going to discuss it with clear understanding.
Here in this program, we are going to talk about Polymorphism, Ducktying philosophy, Operator overloading, Method overloading, and constructor overloading as well. We are going to discuss the alternative of Method overloading and constructor overloading.
In this program, we are going to discuss Abstract classes and Abstract methods. In this, we are also going to talk about when to use abstract classes, interfaces, and concrete classes.
Last but not least we are going to talk about some real-time bank application code implementation using the OOPs concept.
Once you have completed this computer based training course, you will be fully capable of designing your own Python classes, as well as implementing object-oriented programming concepts in Python.
Course Curriculum
Chapter 1: Introduction
Lecture 1: About Instructor and the Feedback
Lecture 2: Introduction
Chapter 2: Instance Variables
Lecture 1: Instance Variables
Chapter 3: Static Variables
Lecture 1: Static Variables
Chapter 4: Types of Methods
Lecture 1: Types of Methods
Chapter 5: Passing Member of one class to another class
Lecture 1: Passing Member of one class to another class
Chapter 6: Garbage Collector
Lecture 1: Garbage Collector
Chapter 7: Inheritance
Lecture 1: What is Inheritance and Types of Inheritance
Lecture 2: Composition
Chapter 8: super() method
Lecture 1: Super Method
Chapter 9: Polymorphism
Lecture 1: Polymorphism and Operator Overloading
Lecture 2: Method and Constructor Overloading
Chapter 10: Abstract Methods and Classes and Private, Public and Protected Members
Lecture 1: Abstract Methods and Classes and Private, Public and Protected Members
Chapter 11: __str__ vs __repr__ and Bank application development using OOPs
Lecture 1: __str__ vs __repr__ and Bank application development using OOPs
Instructors
-
Rahul Tiwari
Its all about data
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 0 votes
- 3 stars: 2 votes
- 4 stars: 12 votes
- 5 stars: 13 votes
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