Top 10 Python interview questions
Python programmers are in huge demand these days – Why? Python is the most preferred language across various industries. It is the most versatile language that can be used in various applications including web development, machine learning, data science, and has various other utility. Attaining this complex program is no more confined to universities, you can grab it just at the comfort of your home through online classes. But let’s not forget the competition is high; as you attain the academics, you have to keep yourself well equipped for the Python interview process.
If you are preparing for a Python interview, these are some questions you can come across. If you have the coding expertise, these 10 Python interview questions would definitely ease out the stress.
Top 10 Python interview questions you should add on to your preparation list:
1. What are the keywords used in Python?
There are a total of 33 keywords in Python 3.7 which are case sensitive and cannot be used as a variable, function name, or any other identifier.
2. What is PEP 8?
PEP – referred to as Python Enhancement Proposals is a coding convention that specifies a set of guidelines to write a Python code. It provides the formatting and style guide for coding making it more legible.
3. What are Python literals and describe different literals?
Python Literals are data directed in the form of variable or constant. In other words, Literals are constant used in Python. There are four types of Literals –
String (name = ‘Tom’)
Integer (age = 32)
Float (height = 6.2)
Special (name = None)
4. What is the difference between shallowcopy and deepcopy?
Shallowcopy is used to copy the reference pointers to the original objects. Any changes made in the member of any class will also impact the original copy of it.
Deepcopy makes the reference to an object and the new object pointed by some other gets stored. Here, the changes made in the original coy will have no effect on any other copy.
5. Explain Python Functions?
A function in Python is a program or code that you write once and execute it multiple times for future coding. There are two types of functions in Python – Built-In function and User-defined function.
6. What is Web Scraping in Python?
Web scraping is the process of extracting a huge amount of data available on the web servers and saving it on local systems. Various modules in Python can be used for web scraping, including Scrappy, Pyquery, Urllib2, BeautifulSoap etc.
7. What is a GIL in Python?
This is one of the Python interview questions for freshers that comes up when the subject revolves around threading. GIL is a Global Interpreter Lock that makes sure only one thread can execute at a certain point of time in Python coding.
8. How is multithreading achieved in Python?
Before we go ahead with this, let’s understand the difference between multiprocessing and multithreading as many trainees tend to get confused between the two. Multiprocessing uses processes and hence allows the system to add more than two CPU’s which ultimately increases the reliability of the system. Whereas, multithreading uses threads that operate on a single process having multiple code segments. Multithreading is a much faster process as you have multiple threads running parallel to each other.
In Python, the Global Interpreter Lock (GIL) does not allow multiple thread to hold after a point of time. Hence, multithreading in Python is attained through context switching.
9. What is the difference between tuples and list?
List are data structures that can be modified at run time. A list can be used to store multiple locations.
Tuples are data structures having different meanings and are immutable. It will force you to create a new location tuple for each new value which can be a bit tedious but has considerable advantages.
In most of the applications, the columns are represented by tuples and the rows as a list. Remember, the attributes of the list will not change even if it is inside the tuple.
10. What do you understand by Pickling and unpickling in Python?
Pickling is basically serialization as it is the process of converting a python object hierarchy to a byte stream.
Unpickling does the exact opposite by converting a byte stream into a python object and hence, you can also refer it to as deserialization.
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