Accenture Python Interview Questions

Q1: What is the difference between a List and a Tuple?

A list is an ordered sequence of items, and a tuple is an unordered sequence of items. You need to use subscripts if you want to modify or delete any item from a list, whereas tuples can be modified or deleted by indexing them with their index number.

Top skills recommended for Accenture Python Developer interview Insights by AmbitionBox

Q1. Count key frequency in dictionary Add Answer

Q2. Sum of unique numbers in the list View Answers (2)

⌚ What are the importance of the Java keywords “super” and “this”?

super: The “super” keyword in Java is used to refer to the instance of the parent class (superclass). It cannot be used as an identifier in Java since it is a reserved keyword. This keyword can also be used to call constructors and methods from a parent class.

this: The keyword “this” is used in Java to refer to the current classs instance. It cannot be used as an identifier in Java since it is a reserved keyword. It can be used to refer to a current class object, to call a current class constructor, to pass as an argument in a method or constructor call, and to return the current class object.

Q4: How do you find the largest number in a list of numbers in Python?

The max() function determines the largest number in a list of numbers.

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4 Is Python fully object oriented?

Python does follow an object-oriented programming paradigm and has all the basic OOPs concepts such as inheritance, polymorphism, and more, with the exception of access specifiers. Python doesn’t support strong encapsulation (adding a private keyword before data members). Although, it has a convention that can be used for data hiding, i.e., prefixing a data member with two underscores.

6 What is Polymorphism in Python?

Polymorphism is the ability of the code to take multiple forms. Let’s say, if the parent class has a method named XYZ then the child class can also have a method with the same name XYZ having its own variables and parameters.

5 Whenever Python exits, why isn’t all the memory de-allocated?

Whenever Python exits, especially those Python modules which are having circular references to other objects or the objects that are referenced from the global namespaces are not always de-allocated or freed.

It is not possible to de-allocate those portions of memory that are reserved by the C library.

On exit, because of having its own efficient clean up mechanism, Python would try to de-allocate every object.

What are python namespaces?

A Python namespace ensures that object names in a program are unique and can be used without any conflict. Python implements these namespaces as dictionaries with ‘name as key’ mapped to its respective ‘object as value’.

Let’s explore some examples of namespaces:

Local Namespace consists of local names inside a function. It is temporarily created for a function call and gets cleared once the function returns.

Global Namespace consists of names from various imported modules/packages that are being used in the ongoing project. It is created once the package is imported into the script and survives till the execution of the script.

Built-in Namespace consists of built-in functions of core Python and dedicated built-in names for various types of exceptions.

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