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Innovative Ways - Satisfied Clientele
Ishan Sarvaiya - September 17, 2021
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...
iFour Team - September 17, 2021
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...
iFour Team - September 15, 2021
Table of Content 1. Business-to-consumer (B2C) 2. Hybrid B2B/B2C model 3. D2C (direct-to-consumer) 4. Vendoo 5. Affiliate Marketing 6. Business-to-business (B2B) 7. Conclusion Ecommerce is a kind of business model that enables diverse businesses and individuals to seamlessly buy and sell things online. It acts as an incredible substitute for physical stores and helps businesses to have a wider market presence. The best part of this online store is that individuals...
Yash Shukla - September 13, 2021
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...
Elizabeth Hines - September 10, 2021
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...