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08 Jan, 2025
Node.js Interview Questions to Ace Your Interviews
Express.js is a minimalist and flexible web application framework for Node.js that provides a robust set of features for building web and mobile applications. It simplifies the process of handling HTTP requests, routing, middleware integration, and templating, making it a popular choice for developers building server-side applications with Node.js.
08 Jan, 2025
Node.js Interview Questions and Answers
Error handling in Node.js is crucial for ensuring that your application runs smoothly and gracefully handles unexpected situations. Since Node.js is asynchronous and event-driven, it requires a careful approach to error handling, especially in callbacks, promises, and event-driven systems. Here's how you can handle errors in various scenarios in Node.js:
08 Jan, 2025
Node.js Interview Questions
Event-driven architecture in Node.js is a design pattern where the flow of the program is determined by events. In this architecture, the system is built around the concept of events that trigger specific actions or functions, often referred to as event handlers.
08 Jan, 2025
Popular R Interview Questions
A data frame in R is one of the most commonly used data structures for storing and working with data. It is a two-dimensional, tabular structure that allows you to store data in rows and columns, where each column can hold a different type of data (e.g., numeric, character, logical, etc.). Essentially, a data frame is similar to a spreadsheet or a SQL table, and it's very efficient for data manipulation and analysis.
08 Jan, 2025
R Interview Questions and Answers(New)
R is a powerful statistical computing and data analysis language, offering a wide variety of built-in functions for statistical analysis. These functions cover common tasks like summarizing data, performing hypothesis tests, modeling, and more. Here's a comprehensive list of R's built-in statistical functions, categorized by their primary use.
08 Jan, 2025
R Interview Questions and Answers
In R, factors are a data structure used to represent categorical data. They are used when you have a variable that takes on a limited number of distinct values, also called levels. Factors are particularly useful for handling variables that are qualitative in nature, such as gender, education level, country, or other categorical variables.
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