Python Interview Questions

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Python Interview Questions

Python is a high-level, interactive and object-oriented scripting language with objects, modules, threads, exceptions and automatic memory management. It is simple and easy, portable, extensible; build-in data structure and also an open-source. It utilizes English keywords whereas other languages use punctuation, and it has fewer grammatical developments than other different languages. The reason why Python Certification is becoming a highly sought-after skill in the IT Sector is its popularity is rising day by day. Guido van Rossum created this and it was first released in 1991.

Latest Version of Python

The latest version is Python 3.8.0, documentation released on 14 October 2019.

Uses

Python is utilized in creating various applications like web applications, realistic UI based applications, programming advancement applications; organize programming, Games and 3D applications and different business applications. Additionally, as Python is a high-level programming language, it enables you to focus on the centre’s usefulness of the application by dealing with normal programming tasks.

There are some Python Programming Language Interview Questions offered beneath to get you familiar with the idea of questions you may experience during your meeting. Normally questions start with some fundamental idea of the subject and later they proceed with further discussion based on what you answer. Let’s bounce into the question and answer part.

Most Frequently Asked Python Interview Questions And Answers –

Q. 1. What type of a language is python? Interpreted or Compiled?
Python is an interpreted, interactive, objectoriented programming language.
Python is an interpreted language, as opposed to a compiled one, though the distinction can be blurry because of the presence of the bytecode compiler. This means that source files can be run directly without explicitly creating an executable which is then run.

Q. 2. What do you mean by python being an “interpreted language”?
An interpreted languageis a programming language for which most of its implementations execute instructions directly, without previously compiling a program into machinelanguageinstructions. In context of Python, it means that Python program runs directly from the source code.

Q. 3. What is python’s standard way of identifying a block of code?
Please provide an example implementation of a function called “my_func” that returns the square of a given variable “x”. (Continues from previous question)
Indentation.
def my_func(x):
return x ** 2

Q. 4. Is python statically typed or dynamically typed?
Dynamic.
In a statically typed language, the type of variables must be known (and usually declared) at the point at which it is used. Attempting to use it will be an error. In a dynamically typed language, objects still have a type, but it is determined at runtime. You are free to bind names (variables) to different objects with a different type. So long as you only perform operations valid for the type the interpreter doesn’t care what type they actually are.

Q. 5. Is python strongly typed or weakly typed language?
Strong.
In a weakly typed language a compiler / interpreter will sometimes change the type of a variable. For example, in some languages (like Java Script) you can add strings to numbers ‘x’ + 3 becomes ‘x3′. This can be a problem because if you have made a mistake in your program, instead of raising an exception execution will continue but your variables now have wrong and unexpected values. In a strongly typed language (like Python) you can’t perform operations inappropriate to the type of the object attempting to add numbers to strings will fail. Problems like these are easier to diagnose because the exception is raised at the point where the error occurs rather than at some other, potentially far removed, place.
Create a unicode string in python with the string “This is a test string”? Ans.some_variable =u’This is a test string’ (or) some_variable =u”This is a test string”

Q. 6. What is the python syntax for switch case statements?
Python doesn’t support switchcase statements. You can use ifelse statements for this purpose.

Q. 7. What is a lambda statement? Provide an example.
A lambda statement is used to create new function objects and then return them at runtime.
Example:
my_func =lambda x:x**2
Creates a function called my_func that returns the square of the argument passed.

Q. 8. What are the rules for local and global variables in Python?
If a variable is defined outside function then it is implicitly global.If variable is assigned new value inside the function means it is local.If we want to make it global we need to explicitly define it as global. Variable referenced inside the function are implicit global.

Q. 9. What is the purpose of #!/usr/bin/pythonon the first line in the above code? Is there any advantage?
By specifying #!/usr/bin/pythonyou specify exactly which interpreter will be used to run the script on a particular system.This is the hardcoded path to the python interpreter for that particular system. The advantage of this line is that you can use a specific python version to run your code.

Q. 10.What are generators in Python?

A generator is simply a function which returns an object on which you can call next, such that for every call it returns some value, until it raises a Stop. Iteration exception, signaling that all values have been generated. Such an object is called an iterator. Normal functions return a single value using return, just like in Java. In Python, however, there is an alternative, called yield. Using yield anywhere in a function makes it a generator.

Q. 11. What can you use Python generator functions for?
One of the reasons to use generator is to make the solution clearer for some kind of solutions. The other is to treat results one at a time, avoiding building huge lists of results that you would process separated anyway.

Q. 12. When is not a good time to use python generators?
Use list instead of generator when:
• You need to access the data multiple times (i.e. cache the results instead of recomputing them)
• You need random access (or any access other than forward sequential order):
• You need to join strings (which requires two passes over the data)
• You are using PyPy which sometimes can’t optimize generator code as much as it can with normal function calls and list manipulations

Q. 13. What’s your preferred text editor?
Emacs. Any alternate answer leads to instant disqualification of the applicant

Q. 14. When should you use generator expressions vs. list comprehensions in Python and viceversa?
Iterating over the generator expression or the list comprehension will do the same thing. However, the list comp will create the entire list in memory first while the generator expression will create the items on the fly, so you are able to use it for very large (and also infinite!) sequences.

Q. 15. What is a negative index in Python?
Python arrays and list items can be accessed with positive or negative numbers. A negative Index accesses the elements from the end of the list counting backwards.

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