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21 Top Python Interview Questions and Answers


Here is a list of 21 Top Python Interview Questions and Answers. Lets take a look at them one by one


1 What Are Different Types of Functions in Python

Number 1 on the list of Top Python Interview Questions and Answers is What Are Different Types of Functions in Python

Python gives us two basic types of functions. 1. Built-in, and 2. User-defined. The built-in functions happen to be part of the Python language. Some of these are print(), dir(), len(), and abs() etc.

2 Are strings in Python mutable or non mutable

Number 2 on the list of Top Python Interview Questions and Answers is Are strings in Python mutable or non mutable

Python strings are indeed immutable. Let’s take an example. We have an “str” variable holding a string value. We can’t mutate the container, i.e., the string, but can modify what it contains that means the value of the variable.

3 What are differences between Def and Lambda

Number 3 on the list of Top Python Interview Questions and Answers is What are differences between Def and Lambda

Def can hold multiple expressions while lambda is a uni-expression function. Def generates a function and designates a name to call it later. Lambda forms a function object and returns it. Def can have a return statement. Lambda can’t have return statements. Lambda supports to get used inside a list and dictionary.

4 What is the difference between list and tuple

Number 4 on the list of Top Python Interview Questions and Answers is What is the difference between list and tuple

The principal difference between a list and the tuple is that the former is mutable while the tuple is not. A tuple is allowed to be hashed, for example, using it as a key for dictionaries.

5 How To Find Bugs Or Perform Static Analysis In A Python Application?

Number 5 on the list of Top Python Interview Questions and Answers is How To Find Bugs Or Perform Static Analysis In A Python Application?

You can use PyChecker, which is a static analyzer. It identifies the bugs in Python project and also reveals the style and complexity related bugs. Another tool is Pylint, which checks whether the Python module satisfies the coding standard.

6 When will the else part of try-except-else be executed?

Number 6 on the list of Top Python Interview Questions and Answers is When will the else part of try-except-else be executed?

The else part is executed when no exception occurs.

7 What are Decorators in Python

Number 7 on the list of Top Python Interview Questions and Answers is What are Decorators in Python

Decorators in Python are used to modify or inject code in functions or classes. Using decorators, you can wrap a class or function method call so that a piece of code can be executed before or after the execution of the original code. Decorators can be used to check for permissions, modify or track the arguments passed to a method, logging the calls to a specific method, etc.

8 What is Map function in python

Number 8 on the list of Top Python Interview Questions and Answers is What is Map function in python

map function executes the function given as the first argument on all the elements of the iterable given as the second argument. If the function given takes in more than 1 arguments, then many iterables are given. #Follow the link to know more similar functions.

9 What are sessions in Django

Number 9 on the list of Top Python Interview Questions and Answers is What are sessions in Django

Django provides session that lets you store and retrieve data on a per-site-visitor basis. Django abstracts the process of sending and receiving cookies, by placing a session ID cookie on the client side, and storing all the related data on the server side.

10 Mention the differences between Django, Pyramid and Flask.

Number 10 on the list of Top Python Interview Questions and Answers is Mention the differences between Django, Pyramid and Flask.

Flask is a “microframework” primarily build for a small application with simpler requirements. In flask, you have to use external libraries. Flask is ready to use. Pyramid is built for larger applications. It provides flexibility and lets the developer use the right tools for their project. The developer can choose the database, URL structure, templating style and more. Pyramid is heavy configurable. Django can also used for larger applications just like Pyramid. It includes an ORM.

11 What is Difference Between Range and xRange in Python

Number 11 on the list of Top Python Interview Questions and Answers is What is Difference Between Range and xRange in Python

For the most part, xrange and range are the exact same in terms of functionality. They both provide a way to generate a list of integers for you to use, however you please. The only difference is that range returns a Python list object and x range returns an xrange object. This means that xrange doesn’t actually generate a static list at run-time like range does. It creates the values as you need them with a special technique called yielding. This technique is used with a type of object known as generators. That means that if you have a really gigantic range you’d like to generate a list for, say one billion, xrange is the function to use. This is especially true if you have a really memory sensitive system such as a cell phone that you are working with, as range will use as much memory as it can to create your array of integers, which can result in a Memory Error and crash your program. It’s a memory hungry beast.

12 Explain split(), sub(), subn() methods of “re” module in Python.

Number 12 on the list of Top Python Interview Questions and Answers is Explain split(), sub(), subn() methods of “re” module in Python.

To modify the strings, Python’s “re” module is providing 3 methods. They are: split() – uses a regex pattern to “split” a given string into a list. sub() – finds all substrings where the regex pattern matches and then replace them with a different string subn() – it is similar to sub() and also returns the new string along with the no. of replacements.

13 What is The Process of Compiling and linking in Python

Number 13 on the list of Top Python Interview Questions and Answers is What is The Process of Compiling and linking in Python

The compiling and linking allows the new extensions to be compiled properly without any error and the linking can be done only when it passes the compiled procedure. If the dynamic loading is used then it depends on the style that is being provided with the system. The python interpreter can be used to provide the dynamic loading of the configuration setup files and will rebuild the interpreter.

14 What are negative indexes and why are they used?

Number 14 on the list of Top Python Interview Questions and Answers is What are negative indexes and why are they used?

The sequences in Python are indexed and it consists of the positive as well as negative numbers. The numbers that are positive uses ‘0’ that is uses as first index and ‘1’ as the second index and the process goes on like that. The index for the negative number starts from ‘-1’ that represents the last index in the sequence and ‘-2’ as the penultimate index and the sequence carries forward like the positive number. The negative index is used to remove any new-line spaces from the string and allow the string to except the last character that is given as S[:-1]. The negative index is also used to show the index to represent the string in correct order.

15 What does this mean: *args, **kwargs? And why would we use it?

Number 15 on the list of Top Python Interview Questions and Answers is What does this mean: *args, **kwargs? And why would we use it?

We use *args when we aren’t sure how many arguments are going to be passed to a function, or if we want to pass a stored list or tuple of arguments to a function. **kwargsis used when we don’t know how many keyword arguments will be passed to a function, or it can be used to pass the values of a dictionary as keyword arguments. The identifiers args and kwargs are a convention, you could also use *bob and **billy but that would not be wise.

16 What are Help() and dir() in Python

Number 16 on the list of Top Python Interview Questions and Answers is What are Help() and dir() in Python

Help() and dir() both functions are accessible from the Python interpreter and used for viewing a consolidated dump of built-in functions.
Help() function: The help() function is used to display the documentation string and also facilitates you to see the help related to modules, keywords, attributes, etc.
Dir() function: The dir() function is used to display the defined symbols.

17 What is Flask

Number 17 on the list of Top Python Interview Questions and Answers is What is Flask

Flask is a web microframework for Python based on “Werkzeug, Jinja2 and good intentions” BSD license. Werkzeug and Jinja2 are two of its dependencies. This means it will have little to no dependencies on external libraries. It makes the framework light while there is a little dependency to update and fewer security bugs.

18 What is Inheritance In Python

Number 18 on the list of Top Python Interview Questions and Answers is What is Inheritance In Python

Inheritance allows One class to gain all the members(say attributes and methods) of another class. Inheritance provides code reusability, makes it easier to create and maintain an application. The class from which we are inheriting is called super-class and the class that is inherited is called a derived / child class.

19 How is Multithreading achieved in Python?

Number 19 on the list of Top Python Interview Questions and Answers is How is Multithreading achieved in Python?

Python has a multi-threading package but if you want to multi-thread to speed your code up, then it’s usually not a good idea to use it. Python has a construct called the Global Interpreter Lock (GIL). The GIL makes sure that only one of your ‘threads’ can execute at any one time. A thread acquires the GIL, does a little work, then passes the GIL onto the next thread. This happens very quickly so to the human eye it may seem like your threads are executing in parallel, but they are really just taking turns using the same CPU core. All this GIL passing adds overhead to execution. This means that if you want to make your code run faster then using the threading package often isn’t a good idea.

20 What is the difference between deep and shallow copy?

Number 20 on the list of Top Python Interview Questions and Answers is What is the difference between deep and shallow copy?

Shallow copy is used when a new instance type gets created and it keeps the values that are copied in the new instance. Shallow copy is used to copy the reference pointers just like it copies the values. These references point to the original objects and the changes made in any member of the class will also affect the original copy of it. Shallow copy allows faster execution of the program and it depends on the size of the data that is used. Deep copy is used to store the values that are already copied. Deep copy doesn’t copy the reference pointers to the objects. It makes the reference to an object and the new object that is pointed by some other object gets stored. The changes made in the original copy won’t affect any other copy that uses the object. Deep copy makes execution of the program slower due to making certain copies for each object that is been called.

21 What are the key features of Python?

Number 21 on the list of Top Python Interview Questions and Answers is What are the key features of Python?

In Python, functions are first-class objects. This means that they can be assigned to variables, returned from other functions and passed into functions. Classes are also first class objects
Writing Python code is quick but running it is often slower than compiled languages. Fortunately,Python allows the inclusion of C based extensions so bottlenecks can be optimized away and often are. The numpy package is a good example of this, it’s really quite quick because a lot of the number crunching it does isn’t actually done by Python
Python is an interpreted language. That means that, unlike languages like C and its variants, Python does not need to be compiled before it is run. Other interpreted languages include PHP and Ruby.



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