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Top 8 Python Interview Questions For 2020

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By Author: Novel Vista
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Python is a scripting language with a modular architecture, simple syntax, and rich text processing feature. Hence, it is most commonly used in AI, Information Security, and many more. Large organizations like CERN, NASA, Google, Wikipedia, Instagram, Spotify are using Python for a long time. So, if you aspire to work with them someday and you don’t know Python, you are pretty doomed!
Also, just learning all about Python won’t serve the entire purpose. You need to be a little more tactical than that.
And how will you do that? Pretty simple! By going through the most commonly asked Python interview questions. Here are the top 8 questions we selected for you to prepare for your next interview. Let’s see what they are!

1. What is Python?
Python is a high-level, interpreted, general-purpose programming language that can be used to build almost every type of application with the right tools/libraries. Python supports objects, modules, threads, exception-handling, and automatic memory management that help in displaying real-world problems and designing applications to solve them.
2. What are the benefits of using Python?
The benefits of using Python are:
It is a general-purpose programming language with a simple, easy-to-learn syntax that emphasizes readability
It reduces the cost of program maintenance
Python is capable of scripting, it is open-source, and supports third-party packages encouraging modularity and code-reuse.
It has high-level data structures combined with dynamic typing and dynamic binding, that attract various community of developers for Rapid Application Development and deployment.
3. What is a dynamically typed language?
A language is called dynamically-typed if the type of a variable is being checked during run-time. Apart from Python, JavaScript, Objective-C, PHP, Python, Ruby, Lisp, and Tcl as well are dynamically-typed languages.
In Dynamically typed languages, variables are bound to objects during run-time by means of assignment statements. Also, you can bind the same variables to objects of different types during the execution of the program while working on dynamically-typed languages.

4. What is an interpreted language?
An Interpreted language executes its statements line by line. Programs written this language runs directly from the source code, which means no intermediary compilation step is required for this one. Python, Javascript, R, PHP, and Ruby are prime examples of Interpreted languages.
5. What is PEP 8 and why is it important?
The full form of PEP is a Python Enhancement Proposal. PEP is an official design document that provides information to the Python community and describes a new feature for Python or its processes. PEP 8 documents the style guidelines for Python Code. While contributing to the Python open-source community, you’ll need to follow these style guidelines sincerely and strictly.

6. How is memory managed in Python?
Python Memory Manager handles memory management in Python. The memory is allocated by the manager in the form of a private heap space for Python. All Python objects stored in this heap are private. Hence, it is inaccessible to the programmer until the time Python provides some core API functions to work upon the private heap space.
7. What are Python Namespaces?
A namespace is a feature of Python that makes sure that the object names in a program are unique and can be used without any conflict. Namespaces as dictionaries are also called 'name as a key' mapped to a corresponding 'object as value'. This allows for multiple namespaces to use the same name and map it to a separate object.
8. How many Python Namespaces are there?
There are 3 types of Python Namespaces:
Local Namespace
Global Namespace
Built-in Namespace

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