Who created Julia? # Julia was originally released in 2012 by Alan Edelman, Stefan Karpinski, Jeff Bezanson, and Viral Shah. Why Julia was created? # Julia addresses the “two-language problem” by providing a high-level and fast language that allows researchers to use a single language for both prototyping and production-level code, eliminating the need for a separate, lower-level language for computationally intensive tasks. Easy as Python and fast as C.

In Go, a receiver parameter is a special parameter in a method declaration that allows a type to define methods that can be called on its instances. func (r ReceiverType) MethodName(arguments) { // method implementation } The ReceiverType is the type on which the method is defined, and it can be either a value or a pointer type. The MethodName is the name of the method, and it can be any valid identifier.

Garbage collection is an automated memory management process that frees up memory in a computer’s heap that is no longer being used by the program. In programming languages like Java, C#, and Python, the memory allocation and deallocation process is handled by the language runtime environment, which uses garbage collection to automatically reclaim memory used by objects that are no longer needed by the program. Garbage collection works by periodically scanning the heap for objects that are no longer reachable, i.

Call by value and call by reference are two different ways of passing arguments to a function. Call By Value # Let’s understand what call by value is. In “call by value”, the argument value is copied into the function’s parameter. This means that any changes made to the parameter inside the function do not affect the original argument value outside the function. The original argument value is protected, and the function only operates on a copy of the value.

Denormalization in NoSQL databases is the process of combining or nesting related data into a single document or structure, instead of separating it into multiple tables or collections as in traditional relational databases. This approach can lead to better performance and faster retrieval of data by avoiding the need for complex joins or multiple queries. In document-based NoSQL databases, such as MongoDB, denormalization can be achieved by embedding one document as a subdocument within another document.