python top 50 interview questions

In this list of Python Scripting interview questions, we have covered all commonly asked basic and advanced Python programming questions with detailed answers to help you clear the job interview easily.

We have covered almost all-important Python interview questions for freshers and experienced candidates to help you prepare for the upcoming interview.

This detailed guide of Python coding interview questions will help you to crack your Job interview for Python Programming.

Python is a programming language with objects, modules, threads, exceptions, and automatic memory management. The benefits of pythons are that it is simple and easy, portable, extensible, build-in data structure, and it is open-source.

PEP 8 is a coding convention, a set of recommendation, about how to write your Python code more readable.

Pickle module accepts any Python object and converts it into a string representation and dumps it into a file by using dump function. This process is called pickling. While the process of retrieving original Python objects from the stored string representation is called unpickling.

Python language is an interpreted language. Python program runs directly from the source code. It converts the source code that is written by the programmer into an intermediate language, which is again translated into machine language that has to be executed.

Python memory is managed by Python private heap space. All Python objects and data structures are located in a private heap. The programmer does not have an access to this private heap, and the interpreter takes care of this Python private heap.

The allocation of Python heap space for Python objects is done by the Python memory manager. The core API gives access to some tools for the programmer to code.

Python also has an inbuilt garbage collector, which recycles all the unused memory and frees the memory and makes it available to the heap space.

PyChecker is a static analysis tool that detects the bugs in Python source code and warns about the style and complexity of the bug. Pylint is another tool that verifies whether the module meets the coding standard.

A Python decorator is a specific change that we make in Python syntax to alter functions easily.

The difference between list and tuple is that list is mutable while tuple is not. Tuple can be hashed, for example., as a key for dictionaries.

Everything in Python is an object, and all variables hold references to the objects. The reference values are according to the functions. Therefore, you cannot change the value of the references. However, you can change the objects if it is mutable.

They are syntax constructions to ease the creation of a Dictionary or List based on existing iterable.

In Python, every name introduced has a place where it lives and can be hooked for. This is known as a namespace. It is like a box where a variable name is mapped to the object placed. Whenever the variable is searched out, this box will be searched to get the corresponding object.

A lambda form in python does not have statements as it is used to make new function object and then return them at runtime.

Pass means no-operation Python statement, or in other words, it is a place holder in a compound statement, where there should be a blank left, and nothing has to be written there.

A unit testing framework in Python is known as unittest. It supports sharing of setups, automation testing, shutdown code for tests, aggregation of tests into collections, etc.

A mechanism to select a range of items from sequence types like list, tuple, strings etc., is known as slicing.

The way of implementing iterators are known as generators. It is a normal function except that it yields expression in the function.

A Python documentation string is known as docstring, it is a way of documenting Python functions, modules, and classes.

To copy an object in Python, you can try a copy.copy () or copy.deepcopy() for the general case. You cannot copy all objects but most of them.

Python sequences can be index in positive and negative numbers. For positive index, 0 is the first index, 1 is the second index, and so forth. For the negative index, (-1) is the last index, and (-2) is the second last index, and so forth.

In order to convert a number into a string, use the inbuilt function str(). If you want a octal or hexadecimal representation, use the inbuilt function oct() or hex().

Xrange returns the xrange object while range returns the list and uses the same memory and no matter what the range size is.

In Python, module is the way to structure a program. Each Python program file is a module, which imports other modules like objects and attributes.

The folder of Python program is a package of modules. A package can have modules or subfolders.

Local variables: If a variable is assigned a new value anywhere within the function’s body, it’s assumed to be local.

To share global variables across modules within a single program, create a special module. Import the config module in all modules of your application. The module will be available as a global variable across modules.

Script file’s mode must be executable, and the first line must begin with # ( #!/usr/local/bin/python)

It is a Floor Divisionoperator, which is used for dividing two operands with the result as a quotient showing only digits before the decimal point. For instance, 10//5 = 2 and 10.0//5.0 = 2.0.

The use of the split function in Python is that it breaks a string into shorter strings using the defined separator. It gives a list of all words present in the string.

Flask is a web micro framework for Python based on “Werkzeug, Jinja 2 and good intentions” BSD licensed. Werkzeug and jingja are two of its dependencies.

Flask is part of the micro-framework. Which 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 less security bugs.

Flask is a “microframework” primarily build for a small application with simpler requirements. In a flask, you don’t have to use external libraries. Flask is ready to use.

Pyramids are 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. Like Pyramid, Django can also be used for larger applications. It includes an ORM.

A session basically allows you to remember information from one request to another. In a flask, it uses a signed cookie so the user can look at the session contents and modify. The user can modify the session if only it has the secret key Flask.secret_key.

40) Is Flask an MVC model, and if yes give an example showing MVC pattern for your application?

Basically, Flask is a minimalistic framework that behaves same as MVC framework. So MVC is a perfect fit for Flask, and the pattern for MVC we will consider for the following example

Flask supports database-powered applications (RDBS). Such a system requires creating a schema, which requires piping the shema.sql file into a sqlite3 command. So you need to install sqlite3 command in order to create or initiate the database in Flask.

The data in the failed server won’t get removed, but there is a provision for auto-failure, which you can configure for multiple nodes. Fail-over can be triggered during any kind of socket or Memcached server level errors and not during normal client errors like adding an existing key, etc.

Dogpile effect is referred to the event when cache expires, and websites are hit by the multiple requests made by the client at the same time. This effect can be prevented by using a semaphore lock. In this system, when the value expires, the first process acquires the lock and starts generating a new value.

Python if Statement is used for decision-making operations. It contains a body of code that runs only when the condition given in the if statement is true. If the condition is false, then the optional else statement runs, which contains some code for the else condition.

When you want to justify one condition while the other condition is not true, then you use Python if-else statement.

While loop does the exact same thing what “if statement” does, but instead of running the code block once, they jump back to the point where it began the code and repeat the whole process again.

Enumerate() in Python is a built-in function used for assigning an index to each item of the iterable object. It adds a loop on the iterable objects while keeping track of the current item and returns the object in an enumerable form. This object can be used in a for loop to convert it into a list by using list() method.

Suppose we want to do numbering for our month ( Jan, Feb, Marc, ….June), so we declare the variable i that enumerate the numbers while m will print the number of month in list.

You can use for loop for even repeating the same statement over and again. Here in the example, we have printed out the word “guru99” three times.

To repeat the same statement a number of times, we have declared the number in variable i (i in 123). So when you run the code as shown below, it prints the statement (guru99) that many times the number declared for our the variable in ( i in 123).

Tuple Matching in Python is a method of grouping the tuples by matching the second element in the tuples. It is achieved by using a dictionary by checking the second element in each tuple in python programming. However, we can make new tuples by taking portions of existing tuples.

A Dictionary in Python is the unordered and changeable collection of data values that holds key-value pairs. Each key-value pair in the dictionary maps the key to its associated value making it more optimized. A Dictionary in python is declared by enclosing a comma-separated list of key-value pairs using curly braces({}). Python Dictionary is classified into two elements: Keys and Values.

You can also copy the entire dictionary to a new dictionary. For example, here we have copied our original dictionary to the new dictionary name “Boys” and “Girls”.

You can update a dictionary by adding a new entry or a key-value pair to an existing entry or by deleting an existing entry. Here in the example, we will add another name, “Sarah” to our existing dictionary.

In the dictionary, you can easily sort the elements. For example, if we want to print the name of the elements of our dictionary alphabetically, we have to use for loop. It will sort each element of the dictionary accordingly.

Arithmetic Operators perform various arithmetic calculations like addition, subtraction, multiplication, division, %modulus, exponent, etc. There are various methods for arithmetic calculation in Python, like you can use the eval function, declare variable & calculate, or call functions.

Example: For arithmetic operators, we will take a simple example of addition where we will add two-digit 4+5=9

These operators test for membership in a sequence such as lists, strings, or tuples. Two membership operators are used in Python. (in, not in). It gives the result based on the variable present in a specified sequence or string.

For example here, we check whether the value of x=4 and value of y=8 is available in list or not by using in and not in operators.

A Python Array is a collection of a common type of data structures having elements with the same data type. It is used to store collections of data. In Python programming, arrays are handled by the “array” module. If you create arrays using the array module, elements of the array must be of the same numeric type.

Python array insert operation enables you to insert one or more items into an array at the beginning, end, or any given index of the array. This method expects two arguments index and value.

Let us add a new value right after the second item of the array. Currently, our balance array has three items: 300, 200, and 100. Consider the second array item with a value of 200 and index 1.

In order to insert the new value right “after” index 1, you need to reference index 2 in your insert method, as shown in the below Python array example:

With this operation, you can delete one item from an array by value. This method accepts only one argument, value. After running this method, the array items are re-arranged, and indices are re-assigned.

With this operation, you can search for an item in an array based on its value. This method accepts only one argument, value. It is a non-destructive method, which means it does not affect the array values.

Let’s find the value of “3” in the array. This method returns the index of the searched value.

Inheritance is a feature used in object-oriented programming; it refers to defining a new class with less or no modification to an existing class. The new class is called the derived class, and from one which it inherits is called the base. Python supports inheritance; it also supports multiple inheritances. A class can inherit attributes and behavior methods from another class called subclass or heir class.

Python does not support a character type, these are treated as strings of length one, also considered as a substring.

You can use square brackets for slicing along with the index or indices to obtain a substring.

Timer is a method available with Threading, and it helps to get the same functionality as Python time sleep.

json.dumps() in Python is a method that converts dictionary objects of Python into JSON string data format. It is useful when the objects are required to be in string format for the operations like parsing, printing, etc.

JSON string decoding is done with the help of inbuilt method json.loads() & json.load() of JSON library in Python.

Here translation table show example of JSON objects to Python objects which are helpful to perform decoding in Python of JSON string.

Slicing will return you the elements from the matrix based on the start /end index given.

Before we work on slicing on a matrix, let us first understand how to apply slice on a simple array.

90) Write a code to get index of an element in a list using for loop

From Python 3+, there is an additional parameter introduced for print() called end=. This parameter takes care of removing the newline that is added by default in print().

In the Python 3 print without newline example below, we want the strings to print on the same line in Python. To get that working, just add end=”” inside print() as shown in the example below:

Python Interview Questions And Answers 2022 | Python Training | Edureka

If you have other doubts regarding Python or about this Python Interview Questions blog, feel free to post them in our QnA Forum. Our expert team will get back to you at the earliest.

Let us first begin with some Basic Python Interview Questions.

Basic Python Interview Questions for Freshers


Lists are mutable i.e they can be edited. Tuples are immutable (tuples are lists which can’t be edited).
Lists are slower than tuples. Tuples are faster than list.
Syntax: list_1 = [10, ‘Chelsea’, 20] Syntax: tup_1 = (10, ‘Chelsea’ , 20)

Python Interview Questions for Freshers

Python is a high-level, interpreted, general-purpose programming language. Being a general-purpose language, it can be used to build almost any type of application with the right tools/libraries. Additionally, python supports objects, modules, threads, exception-handling, and automatic memory management which help in modelling real-world problems and building applications to solve these problems.

Benefits of using Python:

  • Python is a general-purpose programming language that has a simple, easy-to-learn syntax that emphasizes readability and therefore reduces the cost of program maintenance. Moreover, the language is capable of scripting, is completely open-source, and supports third-party packages encouraging modularity and code reuse.
  • Its high-level data structures, combined with dynamic typing and dynamic binding, attract a huge community of developers for Rapid Application Development and deployment.
  • What are the benefits of Python?

    The benefits of Python are as follows:

  • Speed and Productivity: Utilizing the productivity and speed of Python will enhance the process control capabilities and possesses strong integration.
  • Extensive Support for Libraries: Python provides a large standard library that includes areas such as operating system interfaces, web service tools, internet protocols, and string protocols. Most of the programming tasks are already been scripted in the standard library which reduces effort and time.
  • User-friendly Data Structures: Python has an in-built dictionary of data structures that are used to build fast user-friendly data structures.
  • Existence of Third Party Modules: The presence of third-party modules in the Python Package Index (PyPI) will make Python capable to interact with other platforms and languages.
  • Easy Learning: Python provides excellent readability and simple syntaxes to make it easy for beginners to learn.
  • FAQ

    What kind of questions are asked in Python interview?

    Python Interview Questions for Freshers
    • What is Python? …
    • What is a dynamically typed language? …
    • What is an Interpreted language? …
    • What is PEP 8 and why is it important? …
    • What is Scope in Python? …
    • What are lists and tuples? …
    • What are the common built-in data types in Python? …
    • What is pass in Python?

    How do you conduct a Python interview?

    How to Stand Out in a Python Coding Interview
    1. Select the Right Built-In Function for the Job. Iterate With enumerate() Instead of range() …
    2. Leverage Data Structures Effectively. Store Unique Values With Sets. …
    3. Take Advantage of Python’s Standard Library. …
    4. Conclusion: Coding Interview Superpowers.

    What is a Python answer?

    Python is an interpreted, object-oriented, high-level programming language with dynamic semantics.

    Is Python good for coding interviews?

    Personally, Python is my de facto choice for coding algorithms during interviews. It is succinct and has a huge library of functions and data structures.

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