Indepth training in Python OOPS and Design Patterns for Professionals

Topics Covered

• OOPS Concepts - Encapsulation, Data Hiding, Abstraction, Inheritance , Polymorphism • Classes, object , instance, Instantiation, Attributes, Member variables and Methods, operation • Operation, Interaction, Messages • Link , Method, context, sequencing, Navigability • Transient Object, Multiplicity, Coupling and cohesion • Object Copying and Cloning, Access Modifiers • Implementation - OOPS • Classes and Objects • constructors and Destructors • User Defined Classes, Default Attributes and Methods • Inheritance - Extending existing classes • Overloading and overriding methods • class method , static method and Descriptors • Properties to control Attribute Access • Encapsulation and Intercepting Attribute Access • Multiple Inheritance and Interfaces • Interface Techniques:: (Super, Inheritor, Replacer, Extender and Provider) • Types of Classes – Super class, Abstract Classes, private class, Final Class, Inner Class, Anonymous Class • Specializing Inherited Methods • Emulating Privacy for Instance Attributes • Function Interfaces and Callback-Based Code • Marker Interface • Immutable Objects • Boxing & Un Boxing • Object wrappers and Messages • Extending Types by Embedding and by Sub classing • Pseudo private Class Attributes • New-Style Classes and Extensions Diamond Inheritance • Explicit conflict resolution and Instance slots • New _ _get attribute_ _ overloading method • Custom Collection Classes (Aggregation ) • Iterators, Decorators, Generators & Context Manager Modules and Packages Implementation Design Patterns: Has a" relationships Generalization Realization Singleton Association Composition Aggregation Dependency Specialization Responsibility Introspection Factory Method and Abstract Factory Classes project Implementation

Who should attend

Professionals

Pre-requisites

Knowledge of Python Programming

What you need to bring

Nothing"

Key Takeaways

Training Material Placement Assistance Freelance Project