Python Certification is the most sought-after skill in the programming domain. In this Python Interview Questions blog, I will introduce you to the most frequently asked questions in Python interviews for the year 2022. We have 100+ questions on Python Programming basics which will help you with different expertise levels to reap the maximum benefit from our blog. Show
Python Interview Questions And Answers 2022 | Python Training | EdurekaIf 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 FreshersQ1. What is the difference between list and tuples in Python?LIST vs TUPLES
Q2. What are the key features of Python?
Q3. What type of language is python? Programming or scripting?Ans: Python is capable of scripting, but in general sense, it is considered as a general-purpose programming language. To know more about Scripting, you can refer to the Python Scripting Tutorial. Q4.Python an interpreted language. Explain.Ans: An interpreted language is any programming language which is not in machine-level code before runtime. Therefore, Python is an interpreted language. Q5.What is pep 8?Ans: PEP stands for Python Enhancement Proposal. It is a set of rules that specify how to format Python code for maximum readability. Q6.What are the benefits of using Python? Ans: The benefits of using python are-
Find out our Python Training in Top Cities/Countries
Q7.What are Python namespaces? Ans: A namespace in python refers to the name which is assigned to each object in python. The objects are variables and functions. As each object is created, its name along with space(the address of the outer function in which the object is), gets created. The namespaces are maintained in python like a dictionary where the key is the namespace and value is the address of the object. There 4 types of namespace in python-
Q8.What are decorators in Python? Ans: Decorators are used to add some design patterns to a function without changing its structure. Decorators generally are defined before the function they are enhancing. To apply a decorator we first define the decorator function. Then we write the function it is applied to and simply add the decorator function above the function it has to be applied to. For this, we use the @ symbol before the decorator. Q9.What are Dict and List comprehensions? Ans: Dictionary and list comprehensions are just another concise way to define dictionaries and lists. Example of list comprehension is- x=[i for i in range(5)] The above code creates a list as below- 4 [0,1,2,3,4] Example of dictionary comprehension is- x=[i : i+2 for i in range(5)] The above code creates a list as below- [0: 2, 1: 3, 2: 4, 3: 5, 4: 6] Q10.What are the common built-in data types in Python? Ans: The common built-in data types in python are- Numbers– They include integers, floating-point numbers, and complex numbers. eg. List– An ordered sequence of items is called a list. The elements of a list may belong to different data types. Eg. Tuple– It is also an ordered sequence of elements. Unlike lists , tuples are
immutable, which means they can’t be changed. Eg. String– A sequence of characters is called a string. They are declared within single or double-quotes. Eg. Set– Sets are a collection of unique items that are not in order. Eg. Dictionary– A dictionary stores values in key and value pairs where each value can be accessed through its key. The order of items is not important. Eg.
Boolean– There are 2 boolean values- True and False. Q11.What is the difference between .py and .pyc files? Ans: The .py files are the python source code files. While the .pyc files contain the bytecode of the python files. .pyc files are created when the code is imported from some other source. The interpreter converts the source .py files to .pyc files which helps by saving time. Q12.What is slicing in Python? Ans: Slicing is used to access parts of sequences like lists, tuples, and strings. The syntax of slicing is- Q13.What are Keywords in Python? Ans: Keywords in python are reserved words that have special meaning.They are generally used to define type of variables. Keywords cannot be used for variable or function names. There are following 33 keywords in python-
Q14.What are Literals in Python and explain about different Literals Ans: A literal in python source code represents a fixed value for primitive data types. There are 5 types of literals in python-
a) List collections-Eg.
b) Tuple literals- Eg. c) Dictionary literals- Eg. d) Set literals- Eg. 6. Special literal- Python has 1 special literal None which is used to return a null variable. Q15.How to combine dataframes in pandas? Ans: The dataframes in python can be combined in the following ways-
The concat() function is used to concatenate two dataframes. Its syntax is- Dataframes are joined together on a common column called a key. When we combine all the rows in dataframe it is union and the join used is outer join. While, when we combine
the common rows or intersection, the join used is the inner join. Its syntax is- Q16.What are the new features added in Python 3.9.0.0 version? Ans: The new features in Python 3.9.0.0 version are-
Q17. How is memory managed in Python?Ans: Memory is managed in Python in the following ways:
Q18. What is namespace in Python?Ans: A namespace is a naming system used to make sure that names are unique to avoid naming conflicts. Q19. What is PYTHONPATH?Ans: It is an environment variable which is used when a module is imported. Whenever a module is imported, PYTHONPATH is also looked up to check for the presence of the imported modules in various directories. The interpreter uses it to determine which module to load. Q20. What are python modules? Name some commonly used built-in modules in Python?Ans: Python modules are files containing Python code. This code can either be functions classes or variables. A Python module is a .py file containing executable code. Some of the commonly used built-in modules are:
Q21.What are local variables and global variables in Python?Global Variables: Variables declared outside a function or in global space are called global variables. These variables can be accessed by any function in the program. Local Variables: Any variable declared inside a function is known as a local variable. This variable is present in the local space and not in the global space. Example: a=2 def add(): b=3 c=a+b print(c) add() Output: 5 When you try to access the local variable outside the function add(), it will throw an error. Q22. Is python case sensitive?Ans: Yes. Python is a case sensitive language. Q23.What is type conversion in Python?Ans: Type conversion refers to the conversion of one data type into another. int() – converts any data type into integer type float() – converts any data type into float type ord() – converts characters into integer hex() – converts integers to hexadecimal oct() – converts integer to octal tuple() – This function is used to convert to a tuple. set() – This function returns the type after converting to set. list() – This function is used to convert any data type to a list type. dict() – This function is used to convert a tuple of order (key, value) into a dictionary. str() – Used to convert integer into a string. complex(real,imag) – This function converts real numbers to complex(real,imag) number. Q24. How to install Python on Windows and set path variable? Ans: To install Python on Windows, follow the below steps:
Q25. Is indentation required in python?Ans: Indentation is necessary for Python. It specifies a block of code. All code within loops, classes, functions, etc is specified within an indented block. It is usually done using four space characters. If your code is not indented necessarily, it will not execute accurately and will throw errors as well. Q26. What is the difference between Python Arrays and lists?Ans: Arrays and lists, in Python, have the same way of storing data. But, arrays can hold only a single data type elements whereas lists can hold any data type elements. Example: import array as arr My_Array=arr.array('i',[1,2,3,4]) My_list=[1,'abc',1.20] print(My_Array) print(My_list) Output: array(‘i’, [1, 2, 3, 4]) [1, ‘abc’, 1.2] Q27. What are functions in Python?Ans: A function is a block of code which is executed only when it is called. To define a Python function, the def keyword is used. Example: def Newfunc(): print("Hi, Welcome to Edureka") Newfunc(); #calling the function Output: Hi, Welcome to Edureka Q28.What is __init__?Ans: __init__ is a method or constructor in Python. This method is automatically called to allocate memory when a new object/ instance of a class is created. All classes have the __init__ method. Here is an example of how to use it. class Employee: def __init__(self, name, age,salary): self.name = name self.age = age self.salary = 20000 E1 = Employee("XYZ", 23, 20000) # E1 is the instance of class Employee. #__init__ allocates memory for E1. print(E1.name) print(E1.age) print(E1.salary) Output: XYZ 23 20000 Q29.What is a lambda function?Ans: An anonymous function is known as a lambda function. This function can have any number of parameters but, can have just one statement. Example: a = lambda x,y : x+y print(a(5, 6)) Output: 11 Q30. What is self in Python?Ans: Self is an instance or an object of a class. In Python, this is explicitly included as the first parameter. However, this is not the case in Java where it’s optional. It helps to differentiate between the methods and attributes of a class with local variables. The self variable in the init method refers to the newly created object while in other methods, it refers to the object whose method was called. Q31. How does break, continue and pass work?
Q32. What does [::-1} do?Ans: [::-1] is used to reverse the order of an array or a sequence. For example: import array as arr My_Array=arr.array('i',[1,2,3,4,5]) My_Array[::-1] Output: array(‘i’, [5, 4, 3, 2, 1]) [::-1] reprints a reversed copy of ordered data structures such as an array or a list. the original array or list remains unchanged. Q33. How can you randomize the items of a list in place in Python?Ans: Consider the example shown below: from random import shuffle x = ['Keep', 'The', 'Blue', 'Flag', 'Flying', 'High'] shuffle(x) print(x)
['Flying', 'Keep', 'Blue', 'High', 'The', 'Flag']
Q34. What are python iterators?Ans: Iterators are objects which can be traversed though or iterated upon. Q35. How can you generate random numbers in Python?Ans: Random module is the standard module that is used to generate a random number. The method is defined as: import random random.random The statement random.random() method return the floating-point number that is in the range of [0, 1). The function generates random float numbers. The methods that are used with the random class are the bound methods of the hidden instances. The instances of the Random can be done to show the multi-threading programs that creates a different instance of individual threads. The other random generators that are used in this are:
Q36. What is the difference between range & xrange?Ans: 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. Q37. How do you write comments in python?Ans: Comments in Python start with a # character. However, alternatively at times, commenting is done using docstrings(strings enclosed within triple quotes). Example: <span data-mce-type="bookmark" style="display: inline-block; width: 0px; overflow: hidden; line-height: 0;" class="mce_SELRES_end"></span> <pre><span>#Comments in Python start like this print("Comments in Python start with a #") Output: Comments in Python start with a # Q38. What is pickling and unpickling?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. Q39. What are the generators in python?Ans: Functions that return an iterable set of items are called generators. Q40. How will you capitalize the first letter of string?Ans: In Python, the Q41. How will you convert a string to all lowercase?Ans: To convert a string to lowercase, lower() function can be used. Example: stg='ABCD' print(stg.lower()) Output: abcd Q42. How to comment multiple lines in python?Ans:
Multi-line comments appear in more than one line. All the lines to be commented are to be prefixed by a Q43.What are docstrings in Python?Ans: Docstrings are not actually comments, but, they are documentation strings. These docstrings are within triple quotes. They are not assigned to any variable and therefore, at times, serve the purpose of comments as well. Example: """ Using docstring as a comment. This code divides 2 numbers """ x=8 y=4 z=x/y print(z) Output: 2.0 Q44. What is the purpose of ‘is’, ‘not’ and ‘in’ operators?Ans: Operators are special functions. They take one or more values and produce a corresponding result. is: returns true when 2 operands are true (Example: “a” is ‘a’) not: returns the inverse of the boolean value in: checks if some element is present in some sequence Q45. What is the usage of help() and dir() function in Python?Ans: Help() and dir() both functions are accessible from the Python interpreter and used for viewing a consolidated dump of built-in functions.
Q46. Whenever Python exits, why isn’t all the memory de-allocated?Ans:
Q47. What is a dictionary in Python?Ans: The built-in datatypes in Python is called dictionary. It defines one-to-one relationship between keys and values. Dictionaries contain pair of keys and their corresponding values. Dictionaries are indexed by keys. Let’s take an example: The following example contains some keys. Country, Capital & PM. Their corresponding values are India, Delhi and Modi respectively. dict={'Country':'India','Capital':'Delhi','PM':'Modi'} print dict[Country] Output:India print dict[Capital] Output:Delhi print dict[PM] Output:Modi Q48. How can the ternary operators be used in python?Ans: The Ternary operator is the operator that is used to show the conditional statements. This consists of the true or false values with a statement that has to be evaluated for it. Syntax: The Ternary operator will be given as: Example: The expression gets evaluated like if x<y else y, in this case if x<y is true then the value is returned as big=x and if it is incorrect then big=y will be sent as a result. Q49. What does this mean: *args, **kwargs? And why would we use it?Ans: 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. **kwargs is 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. Q50. What does len() do?Ans: It is used to determine the length of a string, a list, an array, etc. Example: stg='ABCD' len(stg) Output:4 Q51. Explain split(), sub(), subn() methods of “re” module in Python.Ans: To modify the strings, Python’s “re” module is providing 3 methods. They are:
Q52. What are negative indexes and why are they used?Ans: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. Q53. What are Python packages?Ans: Python packages are namespaces containing multiple modules. Q54.How can files be deleted in Python?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: import os os.remove("xyz.txt") Q55. What are the built-in types of python?Ans: Built-in types in Python are as follows –
Q56. What advantages do NumPy arrays offer over (nested) Python lists?Ans:
Q57. How to add values to a python array?Ans: Elements can be added to an array using the append(), extend() and the insert (i,x) functions. Example: a=arr.array('d', [1.1 , 2.1 ,3.1] ) a.append(3.4) print(a) a.extend([4.5,6.3,6.8]) print(a) a.insert(2,3.8) print(a) Output: array(‘d’, [1.1, 2.1, 3.1, 3.4]) array(‘d’, [1.1, 2.1, 3.1, 3.4, 4.5, 6.3, 6.8]) array(‘d’, [1.1, 2.1, 3.8, 3.1, 3.4, 4.5, 6.3, 6.8]) Q58. How to remove values to a python array?Ans: Array elements can be removed using pop() or remove() method. The difference between these two functions is that the former returns the deleted value whereas the latter does not. Example: a=arr.array('d', [1.1, 2.2, 3.8, 3.1, 3.7, 1.2, 4.6]) print(a.pop()) print(a.pop(3)) a.remove(1.1) print(a) Output: 4.6 3.1 array(‘d’, [2.2, 3.8, 3.7, 1.2]) Q59. Does Python have OOps concepts?Ans: Python is an object-oriented programming language. This means that any program can be solved in python by creating an object model. However, Python can be treated as a procedural as well as structural language. Check out these AI and ML courses by E & ICT Academy NIT Warangal to learn Python usage in AI ML and build a successful career. Q60. What is the difference between deep and shallow copy?Ans: 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. Q61. How is Multithreading achieved in Python?Ans:
Q62. What is the process of compilation and linking in python?Ans: The compiling and linking allow 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. The steps that are required in this as:
Q63.What are Python libraries? Name a few of them.Python libraries are a collection of Python packages. Some of the majorly used python libraries are – Numpy, Pandas, Matplotlib, Scikit-learn and many more. Q64. What is split used for?The split() method is used to separate a given String in Python. Example: a="edureka python" print(a.split()) Output: [‘edureka’, ‘python’] Q65. How to import modules in python? Modules can be imported using the import keyword. You can import modules in three ways- Example: import array #importing using the original module name import array as arr # importing using an alias name from array import * #imports everything present in the array module Next, in this Python Interview Questions blog, let’s have a look at Object Oriented Concepts in Python. Here is the list of Top 10 Trending Technologies in 2022 that will be in demand! Python Interview Questions And Answers | Python Interview Preparation | Edureka These Python Interview Questions and Answers will help you prepare for Python job interviews. Start your preparation by going through the most frequently asked questions on Python. OOPS Python Interview QuestionsQ66. Explain Inheritance in Python with an example.Ans: 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. They are different types of inheritance supported by Python:
Q67. How are classes created in Python?Ans: Class in Python is created using the class keyword. Example: class Employee: def __init__(self, name): self.name = name E1=Employee("abc") print(E1.name) Output: abc Q68. What is monkey patching in Python?Ans: In Python, the term monkey patch only refers to dynamic modifications of a class or module at run-time. Consider the below example: # m.py class MyClass: def f(self): print "f()" We can then run the monkey-patch testing like this: import m def monkey_f(self): print "monkey_f()" m.MyClass.f = monkey_f obj = m.MyClass() obj.f() The output will be as below: monkey_f() As we can see, we did make some changes in the behavior of f() in MyClass using the function we defined, monkey_f(), outside of the module m. Q69. Does python support multiple inheritance?Ans: Multiple inheritance means that a class can be derived from more than one parent classes. Python does support multiple inheritance, unlike Java. Q70. What is Polymorphism in Python?Ans: Polymorphism means the ability to take multiple forms. So, for instance, if the parent class has a method named ABC then the child class also can have a method with the same name ABC having its own parameters and variables. Python allows polymorphism. Q71. Define encapsulation in Python?Ans: Encapsulation means binding the code and the data together. A Python class in an example of encapsulation. Q72. How do you do data abstraction in Python?Ans: Data Abstraction is providing only the required details and hiding the implementation from the world. It can be achieved in Python by using interfaces and abstract classes. Q73.Does python make use of access specifiers?Ans: Python does not deprive access to an instance variable or function. Python lays down the concept of prefixing the name of the variable, function or method with a single or double underscore to imitate the behavior of protected and private access specifiers. Q74. How to create an empty class in Python?Ans: An empty class is a class that does not have any code defined within its block. It can be created using the pass keyword. However, you can create objects of this class outside the class itself. IN PYTHON THE PASS command does nothing when its executed. it’s a null statement. For example- class a: pass obj=a() obj.name="xyz" print("Name = ",obj.name) Output: Name = xyz Q75. What does an object() do?Ans: It returns a featureless object that is a base for all classes. Also, it does not take any parameters. Next, let us have a look at some Basic Python Programs in these Python Interview Questions. Basic Python Programs – Python Interview QuestionsQ76. Write a program in Python to execute the Bubble sort algorithm.def bs(a): # a = name of list b=len(a)-1nbsp; # minus 1 because we always compare 2 adjacent values for x in range(b): for y in range(b-x): a[y]=a[y+1] a=[32,5,3,6,7,54,87] bs(a) Output: [3, 5, 6, 7, 32, 54, 87] Q77. Write a program in Python to produce Star triangle.def pyfunc(r): for x in range(r): print(' '*(r-x-1)+'*'*(2*x+1)) pyfunc(9) Output: *
***
*****
*******
*********
***********
*************
***************
*****************
Q78. Write a program to produce Fibonacci series in Python.# Enter number of terms needednbsp;#0,1,1,2,3,5.... a=int(input("Enter the terms")) f=0;#first element of series s=1#second element of series if a=0: print("The requested series is",f) else: print(f,s,end=" ") for x in range(2,a): print(next,end=" ") f=s s=next Output: Enter the terms 5 0 1 1 2 3 Q79. Write a program in Python to check if a number is prime.a=int(input("enter number")) if a=1: for x in range(2,a): if(a%x)==0: print("not prime") break else: print("Prime") else: print("not prime") Output: enter number 3 Prime Q80. Write a program in Python to check if a sequence is a Palindrome.a=input("enter sequence") b=a[::-1] if a==b: print("palindrome") else: print("Not a Palindrome") Output: enter sequence 323 palindrome Q81. Write a one-liner that will count the number of capital letters in a file. Your code should work even if the file is too big to fit in memory.Ans: Let us first write a multiple line solution and then convert it to one-liner code. with open(SOME_LARGE_FILE) as fh: count = 0 text = fh.read() for character in text: if character.isupper(): count += 1 We will now try to transform this into a single line. count sum(1 for line in fh for character in line if character.isupper()) Q82. Write a sorting algorithm for a numerical dataset in Python.Ans: The following code can be used to sort a list in Python: list = ["1", "4", "0", "6", "9"] list = [int(i) for i in list] list.sort() print (list) Q83. Looking at the below code, write down the final values of A0, A1, …An.A0 = dict(zip(('a','b','c','d','e'),(1,2,3,4,5))) A1 = range(10)A2 = sorted([i for i in A1 if i in A0]) A3 = sorted([A0[s] for s in A0]) A4 = [i for i in A1 if i in A3] A5 = {i:i*i for i in A1} A6 = [[i,i*i] for i in A1] print(A0,A1,A2,A3,A4,A5,A6) Ans: The following will be the final outputs of A0, A1, … A6 A0 = {'a': 1, 'c': 3, 'b': 2, 'e': 5, 'd': 4} # the order may vary
A1 = range(0, 10)
A2 = []
A3 = [1, 2, 3, 4, 5]
A4 = [1, 2, 3, 4, 5]
A5 = {0: 0, 1: 1, 2: 4, 3: 9, 4: 16, 5: 25, 6: 36, 7: 49, 8: 64, 9: 81}
A6 = [[0, 0], [1, 1], [2, 4], [3, 9], [4, 16], [5, 25], [6, 36], [7, 49], [8, 64], [9, 81]]
Next, in this Python Interview Questions let's have a look at some Python Libraries
Python Libraries – Python Interview QuestionsQ84. Explain what Flask is and its benefits?Ans: Flask is a web microframework for Python based on “Werkzeug, Jinja2 and good intentions” BSD license. Werkzeug and Jinja2 are two of their 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. A session basically allows you to remember information from one request to another. In a flask, a session uses a signed cookie so the user can look at the session contents and modify them. The user can modify the session if only it has the secret key Flask.secret_key. Q85. Is Django better than Flask?Ans: Django and Flask map the URL’s or addresses typed in the web browsers to functions in Python. Flask is much simpler compared to Django but, Flask does not do a lot for you meaning you will need to specify the details, whereas Django does a lot for you wherein you would not need to do much work. Django consists of prewritten code, which the user will need to analyze whereas Flask gives the users to create their own code, therefore, making it simpler to understand the code. Technically both are equally good and both contain their own pros and cons. Q86. Mention the differences between Django, Pyramid and Flask.Ans:
Q87. Discuss Django architecture.Ans: Django MVT Pattern: Figure: Python Interview Questions – Django Architecture The developer provides the Model, the view and the template then just maps it to a URL and Django does the magic to serve it to the user. Q88. Explain how you can set up the Database in Django.Ans: You can use the command edit mysite/setting.py, it is a normal python module with module level representing Django settings. Django uses SQLite by default; it is easy for Django users as such it won’t require any other type of installation. In the case your database choice is different that you have to the following keys in the DATABASE ‘default’ item to match your database connection settings.
Django uses SQLite as a default database, it stores data as a single file in the filesystem. If you do have a database server—PostgreSQL, MySQL, Oracle, MSSQL—and want to use it rather than SQLite, then use your database’s administration tools to create a new database for your Django project. Either way, with your (empty) database in place, all that remains is to tell Django how to use it. This is where your project’s settings.py file comes in. We will add the following lines of code to the setting.py file: DATABASES = { 'default': { 'ENGINE' : 'django.db.backends.sqlite3', 'NAME' : os.path.join(BASE_DIR, 'db.sqlite3'), } } Q89. Give an example how you can write a VIEW in Django?Ans: This is how we can use write a view in Django: from django.http import HttpResponse import datetime def Current_datetime(request): now = datetime.datetime.now() html = "It is now %s/body/html % now return HttpResponse(html) Returns the current date and time, as an HTML document Q90. Mention what the Django templates consist of.Ans: The template is a simple text file. It can create any text-based format like XML, CSV, HTML, etc. A template contains variables that get replaced with values when the template is evaluated and tags (% tag %) that control the logic of the template. Figure: Python
Interview Questions – Django Template Q91. Explain the use of session in Django framework?Ans: Django provides a 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. Figure: Python Interview Questions – Django Framework So the data itself is not stored client side. This is nice from a security perspective. Q92. List out the inheritance styles in Django. Ans: In Django, there are three possible inheritance styles:
Next in this Python Interview Question blog, let’s have a look at questions related to Web Scraping Web Scraping – Python Interview QuestionsQ93. How To Save An Image Locally Using Python Whose URL Address I Already Know?Ans: We will use the following code to save an image locally from an URL address import urllib.request urllib.request.urlretrieve("URL", "local-filename.jpg") Q94. How can you Get the Google cache age of any URL or web page?Ans: Use the following URL format:
Be sure to replace “URLGOESHERE” with the proper web address of the page or site whose cache you want to retrieve and see the time for. For example, to check the Google Webcache age of edureka.co you’d use the following URL:
Q95. You are required to scrap data from IMDb top 250 movies page. It should only have fields movie name, year, and rating.Ans: We will use the following lines of code: from bs4 import BeautifulSoup import requests import sys url = 'http://www.imdb.com/chart/top' response = requests.get(url) soup = BeautifulSoup(response.text) tr = soup.findChildren("tr") tr = iter(tr) next(tr) for movie in tr: title = movie.find('td', {'class': 'titleColumn'} ).find('a').contents[0] year = movie.find('td', {'class': 'titleColumn'} ).find('span', {'class': 'secondaryInfo'}).contents[0] rating = movie.find('td', {'class': 'ratingColumn imdbRating'} ).find('strong').contents[0] row = title + ' - ' + year + ' ' + ' ' + rating print(row) The above code will help scrap data from IMDb’s top 250 list Next in this Python Interview Questions blog, let’s have a look at questions related to Data Analysis in Python. Data Analysis – Python Interview QuestionsQ96. What is map function in Python?Ans: 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. Q97. Is python numpy better than lists?Ans: We use python numpy array instead of a list because of the below three reasons:
For more information on these parameters, you can refer to this section – Numpy Vs List. Q98. How to get indices of N maximum values in a NumPy array?Ans: We can get the indices of N maximum values in a NumPy array using the below code: import numpy as np arr = np.array([1, 3, 2, 4, 5]) print(arr.argsort()[-3:][::-1]) Output [ 4 3 1 ] Q99. How do you calculate percentiles with Python/ NumPy?Ans: We can calculate percentiles with the following code import numpy as np a = np.array([1,2,3,4,5]) p = np.percentile(a, 50) #Returns 50th percentile, e.g. median print(p)
Q100. What is the difference between NumPy and SciPy?Ans:
Q101. How do you make 3D plots/visualizations using NumPy/SciPy?Ans: Like 2D plotting, 3D graphics is beyond the scope of NumPy and SciPy, but just as in the 2D case, packages exist that integrate with NumPy. Matplotlib provides basic 3D plotting in the mplot3d subpackage, whereas Mayavi provides a wide range of high-quality 3D visualization features, utilizing the powerful VTK engine. Next in this Python Interview Questions blog, let’s have a look at some MCQs Multiple Choice Questions (MCQ) – Python Interview QuestionsQ102. Which of the following statements create a dictionary? (Multiple Correct Answers Possible)a) d = {} b) d = {“john”:40, “peter”:45} c) d = {40:”john”, 45:”peter”} d) d = (40:”john”, 45:”50”)Answer: b, c & d. Dictionaries are created by specifying keys and values. Q103. Which one of these is floor division?a) / b) // c) % d) None of the mentionedAnswer: b) // When both of the operands are integer then python chops out the fraction part and gives you the round off value, to get the accurate answer use floor division. For ex, 5/2 = 2.5 but both of the operands are integer so answer of this expression in python is 2. To get the 2.5 as the answer, use floor division using //. So, 5//2 = 2.5 Q104. What is the maximum possible length of an identifier?a) 31 characters |