Python Interview Questions

Python Interview Questions

Python programming might seem simple and you might find it really easy to code. However, sometimes python interview questions might be tricky and you mind may run opposite to the right answer. You always need to take your programming skills seriously and go through conceptual learning of codes.

Besides simple syntax and semantics, most of the interview questions are to test programming aptitude of candidate. You might not be lucky to face the most common python interview questions while looking for a job.

In this python Interview questions article, I am listing down a couple of questions related to the latest language Python, which is high in demand among several top IT companies. So, if you are preparing for an interview, just go through it. All the Best!

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Python Interview Questions

  • Python is the most flexible language due to its dynamic nature.

  • Functions in Python are first-class objects. Python follows OOPS paradigm that makes it more real-time coding experience.

  • Python code is very clean by using indentation syntax. So its code is more clear than any other language.

  • More natural language: you can express your ideas in more natural language compared to other languages.

  • It has a huge community and growing faster so that it can be best promising language in the world.

  • It has large number of packages based on almost every area of programming like machine learning, AI,

  • Python has lots of interesting features you can check out on the official website.

Decorators are not exclusively made for python and are functions that have a capability of accepting a function as an argument and could return functions. A simple example might be a decorator that takes a function, then outputs(or prints it argument) with stdout, prints the return value using stdout, then returns that returns that value. The syntax for decorators in python uses the @decorator_name above any function definition.

Python sequences are managed by integer values (-ve 0 -ve). They can be accessed both wise. Positive indices start with 0 and continue to 1, 2, 3, …. N and Negative indices start with -1 and point to the last index.

Name = “python”

Name[-1] /////// n

Name[:-1]  ////// python

Python sequences are mutable if we can change the data after initialization whereas sequences that can not be changed once created then they immutable.

In Python, tuples are immutable whereas lists and dictionaries are mutable.

To store the values, which has already copied, deep copy is used. The reference pointers to the object are not copied by the deep copy. It simply helps in making reference to the object and the new object that is pointed by some other object gets stored. The changes are made in the original copy that will not affect any other copy while using the object. The Deep copy makes execution of the program slower due to making certain copies for each object that is been called.

Garbage collection generally depends on which implementation. In particular, CPython uses reference counting, and a creative cyclic collector that’s both generational and utilizes its reference count itself to detect continuously iterating loops or cycles.

Docstring refers to documentation string for a function. It must be defined at first, within a function that defines it. Though there’s not much difference between the two, one could put it this way– Docstrings are for documentation, however, comments are for code readers/reviewers.

Python program are executed directly from the source code. These source codes are converted into intermediate language first and then to the machine/native language through the interpreter. And, the program is executed then after.

Python also supports Inheritance as well as Multiple Inheritance. Any class can inherit behaviour as well as attributes methods from different class, known as superclass. A class that inherits from a superclass is known as subclass. Another name for superclasses is ancestors too. There presents a hierarchy association between classes.

Syntax of Inheritance in Python:

class BaseClass:

 Body of base class

class DerivedClass(BaseClass):

  Body of derived class

Various types of Inheritance

  • Single Inheritance In this type of inheritance, derived class obtains the members of a particular super class.
  • Multi-Level Inheritance – In this type of inheritance, a derived class d1 is inheriting the properties of base class base1, and another derived class is inheriting the properties of base2.
  • Hierarchical Inheritance – In this type of inheritance, from single base class you can inherit many child classes
  • Multiple Inheritance – In this type of inheritance, a derived class is inheriting the properties of many base classes.
Instance variables are usually made locally within a class to refer to an object of the class. A class variable is made globally within a class as well as can be accessed in every instance of the class.

Class variables are stated with keyword static as well as Instance variables are stated with static keyword.

Class variables can be obtained anywhere in the class while an instance variable can be obtained in a specific object of the class.

Class variables can be obtained by making use of class name of object reference. Instance variables can be obtained only with the help of object reference.

Lambda is single line code block which can have multiple arguments. It behaves like a function without function name.

Cube = lambda x : x * x * x

Refactoring your code is one of the solution to this kind of problem. You could restructure functions into different modules, which will clean up everything along with this particular issue.

Basically there are 2 types of modes in python programming that are:
  • Interactive Mode: This mode can be eventually taken up as a scratchpad that can be used to check out the codes in the Python Environment.
  • Script Mode: The script mode is basically used to save or compile the programs of Python that is rarely possible in the Interactive mode. To make such programs executable, the Script Mode is preferred.