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Kapil Panchal - September 17, 2021

An in-depth guide on View Result and Partial View Result in MVC

Table of Content 1. What is Action Result? 2. Types of Action Results 2.1. View Result 2.2. Partial View Result 2.3. Redirect Result 2.4. Redirect to Action Result 2.5. JSON Result 2.6. File Result 2.7. Content Result 3. Difference between ViewResult and Partial ViewResult 4. Conclusion What is Action Result? In MVC, Action Results are results of action methods or return types of the corresponding action methods. There are...

Kapil Panchal - September 17, 2021

The advent of E-commerce during the COVID-19 pandemic

Table of Content 1. Effects of COVID -19 2. eCommerce to the rescue 2.1. Connectivity 2.2. Accessibility An international team of scientists is trying to push the envelope and save humanity from the deadliest pandemic. A virus that had no cure kills nearly every human being on Earth. However, one help could be used as an advantage by a few surviving souls to combat this deadly disease. E-commerce! Yes, you read it right. During the COVID-19 pandemic, e-commerce...

Kapil Panchal - September 13, 2021

A complete guide on Behavioral Design Pattern and Chain of Responsibility Pattern in Java

Table of Content 1. What is Behavioral Design Pattern? 2. Types of Behavioral Design Pattern: 3. What is a Chain of Responsibility Pattern? 4. Advantages of using Chain of Responsibility Pattern: 5. Example for Chain of Responsibility Pattern: 6. Conclusion In this blog, we’ll learn behavioral design patterns where and when we can use this particular pattern, and its types. Also, we’ll particularly focus on the chain of responsibility pattern which is a type of behavioral...

Kapil Panchal - September 10, 2021

7 Data Science Myths That Should be Avoided at all Costs

Table of Content 1. Myths 1.1.Myth #1: You need to know how to code to work in Data Science 1.2.Myth #2: You have to be nerdy and studious in order to go into Data Science 1.3.Myth #3: Data Science is not crucial in the world 1.4.Myth #4: You need a PhD 1.5.Myth #5: Deep Machine Learning can only be done in Big Companies 1.6.Myth #6: AI Systems Adapt Instantly Once They are Built 1.7.Myth #7: It is Necessary to have Previous Experience in Computer Science...