So, let’s explore most asked Interview Questions for Python<\/p>\n
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<\/a>Top Interview Questions For Python – Check your Ability<\/p><\/div>\n
2. Best Interview Questions for Python<\/h2>\n
Following are the most tricky interview questions <\/strong><\/a>for Python. Both Python freshers and experienced can refer these Python Interview Questions. So, let’s see these interview questions for Python in detail –<\/p>\n Q.1. Take a look at this piece of code:<\/strong><\/p>\n What are the values of variables A0 to A6? Explain.<\/strong><\/p>\n Ans.<\/strong> Here you go:<\/span><\/p>\n Now to find out what happened. A0 zips \u2018a\u2019 with 1, \u2018b\u2019 with 2, and so on. This results in tuples, which the call to dict() then turns into a dictionary by using these as keys and values.<\/span><\/p>\n Have a look at Python Itertools<\/a><\/strong><\/p>\n A1 gives us a range object with start=0 and stop=10.<\/span><\/p>\n A2 checks each item in A1- does it exist in A0 as well? If it does, it adds it to a list. Finally, it sorts this list. Since no items exist in both A0 and A1, this gives us an empty list.<\/span><\/p>\n A3 takes each key in A0 and returns its value. This gives us the list [1,2,3,4,5].<\/span><\/p>\n A4 checks each item in A1- does it exist in A3 too? If it does, it adds it to a list and returns this list.<\/span><\/p>\n A5 takes each item in A1, squares it, and returns a dictionary with the items in A1 as keys and their squares as the corresponding values.<\/span><\/p>\n A6 takes each item in A1, then returns sublists containing those items and their squares- one at a time.<\/span><\/p>\n Q.2. Differentiate between split(), sub(), and subn() methods of the re<\/i> module.<\/strong><\/p>\n Ans.<\/strong> The <\/span>re<\/span><\/i> module is what we have for processing regular expressions with Python. Let\u2019s talk about the three methods we mentioned-<\/span><\/p>\n Q.3. Differentiate between Django, Pyramid, and Flask.<\/strong><\/p>\n Ans.<\/strong> These are three major frameworks in Python<\/a><\/strong>. Here are the differences:<\/span><\/p>\n Q.4. Explain the Inheritance Styles in Django.<\/strong><\/p>\n Ans.<\/strong> Talking on inheritance<\/a><\/strong> styles, we have three possible-<\/span><\/p>\n Q.5. Explain Python List Comprehension.<\/strong><\/p>\n The list comprehension<\/strong><\/a> is a way to declare a list in one line of code. Let\u2019s take a look at one such example.<\/span><\/p>\n [1, 3, 5, 7, 9]<\/strong><\/p>\n [2, 6, 10, 14, 18]<\/strong><\/p>\n Q.6. How will you locally save an image using its URL address?<\/strong><\/p>\n Ans.<\/strong> For this, we use the urllib module.<\/span><\/p>\n (‘dataflair.jpg’, <http.client.HTTPMessage object at 0x02E90770>)<\/strong><\/p>\n You can then get to your Python\u2019s location and confirm this.<\/span><\/p>\n Q.7. What does the map() function do?<\/strong><\/p>\n Ans.<\/strong> map() executes the function we pass to it as the first argument; it does so on all elements of the iterable in the second argument. Let\u2019s take an example, shall we?<\/span><\/p>\n 8<\/strong> This gives us the cubes of the values 2, 3, and 7.<\/span><\/p>\n Have a look at Python Geographic maps and Graph Data<\/a><\/strong><\/p>\n Q.8. How will you share global variables across modules?<\/strong><\/p>\n Ans.<\/strong> To do this for modules within a single program, we create a special module, then import the config module in all modules of our application. This lets the module be global to all modules.<\/span><\/p>\n Q.9. What is the process to calculate percentiles with NumPy?<\/strong><\/p>\n Ans.<\/strong> Refer to the code below.<\/span><\/p>\n 3.0<\/strong><\/p>\n Q.10. What is Flask- WTF? Explain its features.<\/strong><\/p>\n Ans. Flask<\/a><\/strong>-WTF supports simple integration with WTForms. It has the following features-<\/span><\/p>\n Interview Questions for Python Freshers – Q. 2,3,4,5,7,8,10<\/strong><\/p>\n Interview Questions for Python Experienced – Q. 1,6,9<\/strong><\/p>\n Q.11. How is NumPy different from SciPy?<\/strong><\/p>\n Ans.<\/strong> We have so far seen them used together. But they have subtle differences:<\/span><\/p>\n Q.12. What is the Dogpile effect?<\/strong><\/p>\n Ans.<\/strong> In case the cache expires, what happens when a client hits a website with multiple requests is what we call the dogpile effect. To avoid this, we can use a semaphore lock. When the value expires, the first process acquires the lock and then starts to generate the new value.<\/span><\/p>\n Q.13. How do you insert an object at a given index in Python?<\/strong><\/p>\n Ans.<\/strong> Let\u2019s build a list first.<\/span><\/p>\n Now, we use the method insert. The first argument is the index at which to insert, the second is the value to insert.<\/span><\/p>\n [1, 2, 3, 4]<\/strong><\/p>\n Q.14. And how do you reverse a list?<\/strong><\/p>\n Ans.<\/strong> Using the reverse() method.<\/span><\/p>\n [4, 3, 2, 1]<\/strong><\/p>\n Q.15. What is a Python module?<\/strong><\/p>\n Ans.<\/strong> A module <\/a><\/strong>is a script in Python that defines import statements, functions, classes, and variables. It also holds runnable Python code. ZIP files and DLL files can be modules too. The module holds its name as a string that is in a global variable.<\/span><\/p>\n Q.16. What is the with<\/i>\u00a0statement in Python?<\/strong><\/p>\n Ans.<\/strong> Using the <\/span>with<\/span><\/i> statement, we open files, process data in files, and even close them without having to make a call to the close() method. This makes exception-handling simpler with the cleanup activities. Here\u2019s a demonstration-<\/span><\/p>\n You must read errors and exceptions in Python<\/a><\/strong><\/p>\n Q.17. What are the different file-processing modes with Python?<\/strong><\/p>\n Ans.<\/strong> We have the following modes-<\/span><\/p>\n We can open a text file with the option \u2018t\u2019. So to open a text file to read it, we can use the mode \u2018rt\u2019. Similarly, for binary files, we use \u2018b\u2019.<\/span><\/p>\n Q.18. What are the file-related modules we have in Python?<\/strong><\/p>\n Ans.<\/strong> We have the following libraries<\/a><\/strong> and modules that let us manipulate text and binary files on our file systems-<\/span><\/p>\n os<\/span><\/p>\n os.path<\/span><\/p>\n shutil<\/span><\/p>\n Q.19. What makes Python object-oriented?<\/strong><\/p>\n>>> A0= dict(zip(('a','b','c','d','e'),(1,2,3,4,5)))\r\n>>> A1= range(10)\r\n>>> A2= sorted([i for i in A1 if i in A0])\r\n>>> A3= sorted([A0[s] for s in A0])\r\n>>> A4= [i for i in A1 if i in A3]\r\n>>> A5= {i:i*i for i in A1}\r\n>>> A6= [[i,i*i] for i in A1]\r\n>>> A0,A1,A2,A3,A4,A5,A6<\/pre>\nA0= {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5}\r\nA1= range(0, 10)\r\nA2= []\r\nA3= [1, 2, 3, 4, 5]\r\nA4= [1, 2, 3, 4, 5]\r\nA5= {0: 0, 1: 1, 2: 4, 3: 9, 4: 16, 5: 25, 6: 36, 7: 49, 8: 64, 9: 81}\r\nA6= [[0, 0], [1, 1], [2, 4], [3, 9], [4, 16], [5, 25], [6, 36], [7, 49], [8, 64], [9, 81]]<\/pre>\n\n
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>>> [i for i in range(1,11,2)]<\/pre>\n
>>> [i*2 for i in range(1,11,2)]<\/pre>\n
>>> import urllib.request\r\n>>> urllib.request.urlretrieve('https:\/\/yt3.ggpht.com\/a-\/ACSszfE2YYTfvXCIVk4NjJdDfFSkSVrLBlalZwYsoA=s900-mo-c-c0xffffffff-rj-k-no','dataflair.jpg')<\/pre>\n>>> for i in map(lambda i:i**3, (2,3,7)):\r\nprint(i)<\/pre>\n
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\n343<\/strong><\/p>\n>>> import numpy as np\r\n>>> arr=np.array([1,2,3,4,5])\r\n>>> p=np.percentile(arr,50)\r\n>>> p<\/pre>\n
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>>> a=[1,2,4]<\/pre>\n
>>> a.insert(2,3)\r\n>>> a<\/pre>\n
>>> a.reverse()\r\n>>> a<\/pre>\n
>>> with open('data.txt') as data:\r\n#processing statements<\/pre>\n\n