Overview: TypeScript is widely used in large projects because its typing works better with AI coding assistants and reduces bugs.JavaScript remains best for sma ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Overview: Programmers prefer Python in AI, data science, and machine learning projects, while JavaScript is useful in web and full-stack development.GitHub and ...

What if AI-assisted development is less of a threat, and more of a jetpack? This month’s report tackles vibe coding, along with new JavaScript tools and techniques to explore in your AI-assisted free ...

In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...

What if you could build a conversational AI agent that not only answers complex questions but also integrates seamlessly with external tools, streams real-time responses, and delivers structured ...

JavaScript tools and frameworks thrive and evolve in an ecosystem that is equal parts competitive and collaborative. This month, we showcase some of the best examples of technology innovation in ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

Abstract: As emerging microservice hosting platforms, serverless computing platforms are highly favour for their simplicity and high level of automation when deploying and running stateless functions.

Abstract: Asynchronous programming in C# plays a crucial role in enhancing the performance and responsiveness of modern applications, especially in contexts involving I/O operations, network ...