Python Interview Questions

Python Interview Questions

Python programming might seem simple and you might find it really easy to code. However, sometimes python interview questions might be tricky and you mind may run opposite to the right answer. You always need to take your programming skills seriously and go through conceptual learning of codes.

Besides simple syntax and semantics, most of the interview questions are to test programming aptitude of candidate. You might not be lucky to face the most common python interview questions while looking for a job.

In this python Interview questions article, I am listing down a couple of questions related to the latest language Python, which is high in demand among several top IT companies. So, if you are preparing for an interview, just go through it. All the Best!

Read Latest Python Interview Questions and answers - 2018

Download Python Interview Questions PDF

Python Interview Questions

Python has interesting philosophy using ternary operator. It has no ternary operation syntax. Python uses if else statement to perform the action.

print("Equal") if 5==5 else print("Not equal")
5!=5 and 'Equal' or 'Not equal'

Decorators are not exclusively made for python and are functions that have a capability of accepting a function as an argument and could return functions. A simple example might be a decorator that takes a function, then outputs(or prints it argument) with stdout, prints the return value using stdout, then returns that returns that value. The syntax for decorators in python uses the @decorator_name above any function definition.

Python program are executed directly from the source code. These source codes are converted into intermediate language first and then to the machine/native language through the interpreter. And, the program is executed then after.

Range returns a list. Xrange object which takes the same memory independent of the range size.

While using range, one can have all items already generated which can consume a lot of memory. Using xrange, one can get the elements one by one i.e. only one element is generated per loop.

Garbage collection generally depends on which implementation. In particular, CPython uses reference counting, and a creative cyclic collector that’s both generational and utilizes its reference count itself to detect continuously iterating loops or cycles.

In Python, variables that are only called and declared inside a function become inherently global. But, If a variable is assigned a new value within the same function, it will then be a local variable.

But, you also have the flexibility of explicitly declaring a variable as "global" within the same function.

Few methods like str and gt are examples of the special method. They override the behavior of other global functions/operators and will be used with the with keyword. Overriding those functions might lead to unintended behaviors in a dynamic language like Python, thus, they are meant to be used very carefully.

Docstring refers to documentation string for a function. It must be defined at first, within a function that defines it. Though there’s not much difference between the two, one could put it this way– Docstrings are for documentation, however, comments are for code readers/reviewers.