Top Interview Questions on Python

In Python, the generator is a way that specifies how to implement iterators. It is a normal function except that it yields expression in the function. It does not implements __itr__ and next() method and reduce other overheads as well. If a function contains at least a yield statement, it becomes a generator. The yield … Read more

In Python, iterators are used to iterate a group of elements, containers like a list. Iterators are the collection of items, and it can be a list, tuple, or a dictionary. Python iterator implements __itr__ and next() method to iterate the stored elements. In Python, we generally use loops to iterate over the collections (list, … Read more

The namespace is a fundamental idea to structure and organize the code that is more useful in large projects. However, it could be a bit difficult concept to grasp if you’re new to programming. Hence, we tried to make namespaces just a little easier to understand. A namespace is defined as a simple system to … Read more

In Python, variables that are only referenced inside a function are called implicitly global. If a variable is assigned a new value anywhere within the function’s body, it’s assumed to be a local. If a variable is ever assigned a new value inside the function, the variable is implicitly local, and we need to declare … Read more

Decorators are very powerful and a useful tool in Python that allows the programmers to modify the behaviour of any class or function. It allows us to wrap another function to extend the behaviour of the wrapped function, without permanently modifying it. # Decorator example def decoratorfun(): return another_fun Functions vs. Decorators A function is … Read more