Python-DataAbstarction.pptx
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Data abstraction is the process of hiding unnecessary implementation details and exposing only essential information to the user. It separates the interface from the implementation. In Python, data abstraction can be achieved through abstract classes, which cannot be instantiated directly but can be inherited. Abstract classes define a common API for subclasses and allow concrete methods to be implemented only once for all subclasses. Data abstraction improves flexibility, reusability, and makes working on large codebases with teams easier.
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YouTube: https://www.youtube.com/user/edurekaIN
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Facebook: https://www.facebook.com/edurekaIN/
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The document discusses procedural programming and object-oriented programming. Procedural programming focuses on functions and steps, while object-oriented programming focuses more on modeling real-world objects and their properties and interactions. Key concepts discussed for object-oriented programming include objects, classes, abstraction, encapsulation, inheritance, and polymorphism. Visual programming is also introduced, which allows creating graphical user interfaces visually rather than through code.
Design patterns
Design patterns are commonly used to address problems relating to application architecture and design. The concept originated from Christopher Alexander's work noting common building design problems and solutions. Design patterns ensure problems are addressed through well-known solutions, and most problems have likely been solved before. Common patterns include observer/subject to separate user interface from business logic, singleton to control object construction, strategy to allow multiple algorithms, and template method to define an algorithm's structure. The facade pattern provides different views of subsystems to users by hiding implementation details. The command pattern encapsulates requests as objects with a known interface to decouple senders and receivers.
Sda 9
The document outlines structural design patterns including Adapter, Facade, Decorator, Composite, and Proxy patterns. It provides definitions and examples of how each pattern allows objects to be combined into larger structures. The key purpose of structural patterns is that they involve connections between objects and define how components should be structured to work together flexibly in a system.
Example Of Import Java
The document discusses importing packages in Java code. It includes examples of importing common packages like Scanner, FileInputStream, ArrayList, and others. The code sample shows initializing variables and objects like routers, table, and requests array list. It also includes code for parsing input, setting up network routing tables, and performing other routing calculations and simulations.
The smartpath information systems c plus plus
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C++ is an object-oriented programming language developed by Bjarne Stroustrup at AT&T Bell Lab in the year 1980. Initially it was named “C with classes” but later in 1983 the name changed to C++. It is an extension of C with..Design Pattern Mastery - Momentum Dev Con 19 Apr 2018
Design patterns help developers and teams solve problems using proven approaches. In this talk, you'll learn how to solve a series of real world problems by applying patterns. Not only do patterns help individual developers solve particular problems, but they also enable teams to discuss design decisions using a richer, more descriptive language. By the end, you'll have some concrete tools you can apply, and hopefully the desire to master more patterns as you continue to improve!
Design Patterns
The document discusses various design patterns including the Template Method, Strategy, Observer, Composite, Iterator, Command, Adapter, Proxy, Decorator, Singleton, Factory, Builder, Interpreter, Domain Specific Language (DSL), Meta-programming, and Convention over Configuration patterns. It provides examples and descriptions of when each pattern would be used.
C# interview
This document provides summaries of key .NET concepts and technologies:
1. StringBuilder is more efficient than String for text manipulation as Strings are immutable and new instances are created with each operation, while StringBuilder allows in-place editing.
2. The main .NET types for data storage are arrays, which can only hold one data type, and hash tables like HashTable and SortedList which allow retrieval by key.
3. Exception handling in C# uses try-catch blocks, with catch optionally specifying the exception type. Finally blocks are always executed whether an exception occurs or not.
4. Namespaces and assemblies allow .NET applications to be modular and reference external libraries. Key namespaces include System and
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- 2. What is Data Abstraction? The process by which data and functions are defined in such a way that only essential details can be seen and unnecessary implementations are hidden is called Data Abstraction. The main focus of data abstraction is to separate the interface and the implementation of the program.
- 3. Data Abstraction in Python Abstraction is really powerful for making complex tasks and codes simpler when used in Object-Oriented Programming. It reduces the complexity for the user by making the relevant part accessible and usable leaving the unnecessary code hidden. Also, there are times when we do not want to give out sensitive parts of our code implementation and this is where data abstraction can also prove to be very functional. Data Abstraction in Python can be achieved through creating abstract classes and inheriting them later
- 4. Abstract Class The classes that cannot be instantiated. This means that we cannot create objects of an abstract class, and these are only meant to be inherited. Then an object of the derived class is used to access the features of the base class. These are specifically defined to lay a foundation of other classes that exhibit common behavior or characteristics.
- 6. Why Use Abstract Base Class Defining an Abstract Base Class lets us create a common Application Programming Interface (API) for multiple subclasses. It is useful while working in large teams and code-bases so that all of the classes need not be remembered and also be provided as library by third parties. from abc import ABC class MyABC(ABC): pass
- 7. Concrete Methods in Abstract Class there are methods that have the same implementation for all subclasses as well. There are characteristics that exhibit the properties of the abstract class and so, must be implemented in the abstract class itself. Otherwise, it will lead to repetitive code in all the inherited classes. These methods are called concrete methods. An abstract class can have both abstract methods and concrete methods. 1. We always need to provide an implementation of the abstract method in the child class even when implementation is given in the abstract class. 2. A subclass must implement all abstract methods that are defined in the parent class otherwise it results in an error.
- 8. Example of Data Abstraction
- 10. Why Data Abstraction is important? Data Abstraction firstly saves a lot of our time as we do not have to repeat the code that may be the same for all the classes. Moreover, if there are any additional features, they can be easily added, thus improving flexibility. Not to mention, working in large teams becomes easier as one won’t have to remember every function and the basic structure can be inherited without any confusions.