




Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
This document includes explanation of the Top 50+ Python Interview Questions with Answers.
Typology: Lecture notes
1 / 8
This page cannot be seen from the preview
Don't miss anything!





Ans: 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 an open source.
Ans: PEP 8 is a coding convention, a set of recommendation, about how to write your Python code more readable.
Ans: 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.
Ans: 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 interpreter takes care of this Python private heap. The allocation of Python heap space for Python objects is done by Python memory manager. The core API gives access to some tools for the programmer to code. Python also have an inbuilt garbage collector, which recycle all the unused memory and frees the memory and makes it available to the heap space.
Ans: 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.
Ans: A Python decorator is a specific change that we make in Python syntax to alter functions easily.
Ans: The difference between list and tuple is that list is mutable while tuple is not. Tuple can be hashed for e.g. as a key for dictionaries.
Ans: Everything in Python is an object and all variables hold references to the objects. The references values are according to the functions; as a result, you cannot change the value of the references. However, you can change the objects if it is mutable.
Ans : It is a single expression anonymous function often used as inline function.
Ans: A lambda form in python does not have statements as it is used to make new function object and then return them at runtime.
Ans: Pass means, no-operation Python statement, or in other words it is a place holder in compound statement, where there should be a blank left and nothing has to be written there.
Ans: In Python, module is the way to structure 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.
Ans: Local variables : If a variable is assigned a new value anywhere within the function's body, it's assumed to be local. Global variables : Those variables that are only referenced inside a function are implicitly global.
Ans: 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.
Ans: To make a Python Script executable on Unix, you need to do two things, Script file's mode must be executable and the first line must begin with # (#!/usr/local/bin/python)
Ans: By using a command os.remove (filename) or os.unlink(filename)
Ans: To generate random numbers in Python, you need to import command as import random random.random() This returns a random floating-point number in the range [0,1)
Ans: To copy an object in Python, you can try copy. Copy () or copy.deepcopy() for the general case. You cannot copy all objects but most of them.
Ans: Python sequences can be an index in positive and negative numbers. For positive index, 0 is the first index, 1 is the second index and so forth. For negative index, (-1) is the last index and (-2) is the second last index and so forth.
Ans: 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().
Ans: Xrange returns the xrange object while range returns the list, and uses the same memory and no matter what the range size is.
Ans: You can access a module written in Python from C by following method, Module = =PyImport_ImportModule("
Ans: It is a Floor Division operator , which is used for dividing two operands with the result as quotient showing only digits before the decimal point. For instance, 10//5 = 2 and 10.0//5. = 2.0.
Ans: 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 little dependency to update and less security bugs.
Ans: 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.
Ans: Flask supports database powered application (RDBS). Such 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. Flask allows to request a database in three ways before_request() : They are called before a request and pass no arguments after_request() : They are called after a request and pass the response that will be sent to the client teardown_request(): They are called in situa Ans: tion when exception is raised, and response are not guaranteed. They are called after the response been constructed. They are not allowed to modify the request, and their values are ignored.
Ans: 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.
When one instance fails, several of them goes down, this will put larger load on the database server when lost data is reloaded as client make a request. To avoid this, if your code has been written to minimize cache stampedes then it will leave a minimal impact Another way is to bring up an instance of Memcached on a new machine using the lost machines IP address Code is another option to minimize server outages as it gives you the liberty to change the Memcached server list with minimal work Setting timeout value is another option that some Memcached clients implement for Memcached server outage. When your Memcached server goes down, the client will keep trying to send a request till the time-out limit is reached
Ans: 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 semaphore lock. In this system when value expires, first process acquires the lock and starts generating new value.
Memcached common misuse is to use it as a data store, and not as a cache Never use Memcached as the only source of the information you need to run your application. Data should always be available through another source as well Memcached is just a key or value store and cannot perform query over the data or iterate over the contents to extract information Memcached does not offer any form of security either in encryption or authentication
Ans: Built-in types in Python are as follows – Integers Floating-point Complex numbers Strings Boolean Built-in functions
Ans: Python packages are namespaces containing multiple modules.
Ans: To delete a file in Python, you need to import the OS Module. After that, you need to use the os.remove() function. Example: 1 2 import os os.remove("xyz.txt")