10 Important Python Interview Questions That Decide Your Placement

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by Satavisa Pati


April 1, 2022

To be sure of the next placement, here are 10 important Python interview questions.

Python is one of the most popular Programming languages all time. From beginners to experienced coders, this language is a must because it is widely used by developers. For your work as a developer, these are the Top 10 Python Interview Questions who will decide on your placement.

What is PEP 8 and why is it important?

PEP stands for Python Improvement proposal. A PEP is an official design document providing information to the Python community or describing a new feature for Python or its processes. PEP 8 is particularly important because it documents styling guidelines for Python Code. Apparently contributing to the Python The open-source community demands that you follow these style guidelines sincerely and strictly.

What is scope in Python?

Each object in Python functions within a perimeter. A scope is a block of code where an object in Python remains relevant. Namespaces uniquely identify all objects within a program. However, these namespaces also have a defined scope for them where you can use their objects without any prefix.

What are the common built-in data types in Python?

There are several built-in data types in Python. Although Python does not require data types to be defined explicitly when declaring variables, type errors are likely to occur if knowledge of data types and their compatibility with each other is neglected. Python provides type() and isinstance() functions to check the type of these variables.

What is the pass in Python?

The pass keyword represents a null operation in Python. It is typically used for the purpose of filling empty blocks of code that may execute at runtime but have not yet been written. Without the pass statement in the following code, we may encounter errors when running the code.

What are modules and packages in Python?

Python packages and Python modules are two mechanisms that enable modular programming. Modularization has several advantages –

Simplicity: Working on a single module helps you focus on a relatively small part of the problem at hand. This makes development easier and less error-prone.

Maintainability: Modules are designed to enforce logical boundaries between different problem areas. If they are written in a way that reduces interdependence, it is less likely that changes in one module can impact other parts of the program.

Reusability: Functions defined in a module can be easily reused by other parts of the application.

Scope: Modules generally define a separate namespace, which helps avoid confusion between identifiers of other parts of the program.

Modules, in general, are simply Python files with a .py extension and can have a set of functions, classes, or variables defined and implemented. They can be imported and initialized once using the import statement. If partial functionality is needed, import the required classes or functions using the foo import bar.

What are global, protected, and private attributes in Python?

Global variables are public variables defined in the global scope. To use the variable in global scope inside a function, we use the global keyword. Protected attributes are attributes defined with an underscore prefixed to their identifier, for example. _sara. They can still be viewed and modified from outside the class in which they are defined, but a responsible developer should refrain from doing so. Private attributes are attributes with a double underscore prefixed to their identifier, for example. __ansh. They cannot be viewed or modified directly from outside and will result in an AttributeError if such an attempt is made.

What is self for in Python?

Self is used to represent the class instance. With this keyword you can access the attributes and methods of the class in python. It binds the attributes with the given arguments. self is used in different places and is often considered a keyword. But unlike C++, self is not a keyword in Python.

What are break, continue and pass in Python?

The break statement terminates the loop immediately and control passes to the statement after the loop body. The continue statement ends the current iteration of the statement, skips the rest of the code in the current iteration, and control passes to the next iteration of the loop. As explained above, the pass keyword in Python is generally used to fill empty blocks and is similar to an empty statement represented by a semicolon in languages ​​such as Java, C++, JavaScript, etc.

What are unit tests in Python?

Unit testing is Python’s unit testing framework. Unit testing involves testing different software components separately. Can you think about the importance of unit testing? Imagine a scenario, you are building software which uses three components namely A, B and C. Now suppose your software fails at some point. How are you going to find out which component is responsible for breaking the software? Maybe it was component A that failed, which in turn failed component B, and that actually failed the software. There can be many such combinations. That is why it is necessary to properly test each component in order to know which component could be highly responsible for software failure.

What is the difference between Python arrays and lists?

Arrays in python can only contain elements of the same data types, i.e. the data type of the array must be consistent. It is a thin wrapper around arrays in the C language and consumes much less memory than lists. Lists in python can contain elements of different data types, i.e. the data type of lists can be heterogeneous. It has the disadvantage of consuming a lot of memory.

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