5 Interview Questions For Senior Python Developers


For most employers of labour in the tech niche, the question of highest importance prior to an interview is: 'what must the perfect python developer for this role know in order to achieve mutual satisfaction'.


And for the programmer, most often than not, your professional career as a senior python developer begins with a special interview session with whoever is in charge of recruiting at your dream job. 


Whether you are applying for a senior python developer role or you're hiring for it, it is only logical that you get yourself acquainted to interview questions for senior Python developers. 


Consider this article a reminder of all that you had known and applied from when you started your career in Python development till now when you are about to be qualified for the role of senior Python developer. 


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Still want to go through the process? Well, here are the basics.


Senior Python Developers

Senior Python Developers are skilled in creating, designing, and delivering computer applications and other programs in Python.


At the beginning of the Python development career, most responsibility usually includes locating and correcting errors in Python-based development projects.


Progress in development with Python usually entails higher level coding, designing, deploying, and debugging development projects. Python developers are usually back-end engineers.


Python Developers use Python to create applications, design the framework of codes, create websites and integrable systems, and publish new services.


Some Python Developers prefer to be independent and work on a contractual basis, while others like to explore their ability for teamwork by being a company member. There is no right or wrong work pattern. The goal is to get the job done as excellently as possible.


For easy memorability, Python developers work on tasks such as: 

  • Web Development


  • Scripting Design 


  • Web Frameworks for new codes


  • Services for Automation Deployment


  • Data Examination


  • Writing reusable, testable, and efficient Python code


  • Integrating data storage solutions


  • Creating integrative systems


  • Integrating user-facing elements and understanding end-user requirements


Tools Used By Python Developers.

Python developers have mastery of certain tools that enhance efficiency. Certain interviewers like to include a general knowledge of these tools to interview questions, to test for proficiency and practicability. 


Some of the tools used by Python developers include: 


An open-source, high-level neural grid library written in Python, Keras is based on four principles: user-friendliness, modularity, easy extensibility, and operation. 


Keras is also a great tool for machine learning and deep learning. 

PyCharm IDE

PyCharm is a reliable, intelligent testing assistance, code refactoring, and inspection tool that supports Flask, Django, Google App Engine, and other renowned frameworks.


It assists a developer in the form of intuitive auto-completion, PEP8 checks, and other code quality improvement features. 

Pip Package

One of the most widely used Python tools, the Pip package, is a pre-installed default package manager.


Pip package saves your progress in a requirement file to help catalog the same packages for a diverse desktop or virtual setting. 

Python Anywhere

Python Developers can’t stop talking about how reliable this tool is; Python Anywhere ranks high in reliability and speed. It overlooks end-to-end SDLC needs and allows developers to run, develop, and host programs of Python on the web. 


With Python Anywhere tool, deploying the codebase is a pretty easy task.


Jupyter Notebook


This tool is built for inserting mathematical inscriptions within markdown compartments. It has a console-based procedure for recording everything you need. 

Jupyter notebook combines vivid media, computations, mathematics, and brief explanations of the text. It also lists inputs and outputs used in calculations. 


Python developers have found a go-to tool for interactive evolution and documentation in Jupyter notebook. 


What Skills Do Senior Python Developers Need to Have?

As a developer, you should look for the following skills in potential staff members. As a programmer  these skills will help you scale your career as a python developer:

Python skills

Senior Python Developers need to have a mastery of Python that extends beyond the basics taught in data science, web development, or other fields that borrow some Python knowledge.


Python skills required of senior developers include object-oriented programming, basic Python syntax, semantics, primitive data types, and arithmetic operators.

Python Libraries

From Python Package Index (PyPi) to Pandas and NumPy, Python is preferred above most programming languages because of the vast amount of libraries available to Python developers. 


It is expected that a senior Python Developer should be well-versed in as many of these libraries as possible,  using them to his advantage.

Python frameworks

The frameworks available for mastery by Python developers include Django, Flask, CherryPy, web2py, TurboGears, and Grok.


Developers must master these frameworks and use them regularly. Your interviewer wants to be sure that you are ready to put in your bet, so you can be sure to expect some interview questions that cut across Python frameworks.

ORM libraries

ORM, meaning Object Relational Mapper libraries, helps Python Developers write Python code instead of SQL to create and alter data and schemas in their database. 


Some frequently used ORM libraries include SQLAlchemy or Django ORM –

Top 5 Strategic Interview Questions for Senior Python Developers

How well developers answer these questions will depend on how much Python they’ve been writing since the start of your career.


Here are the top five interview questions for senior python developers:


1. How is a Dictionary Sorted in Python?

A dictionary in Python is an unordered data structure that maps keys to values.

Sorting a dictionary in Python requires using the sorted() function.


The sorted() function uses three parameters: object, key, and reverse (optional). Asides from sorting dictionaries, you can use the sorted() function in Python to sort any iterable objects by a key.


2. What Is The Difference Between Class And Static Methods In Python Classes?

In a class method, the first parameter is the class itself. “Cls” is used to represent this mandatory parameter. A class method can be called by an instance and directly without an instance.


On the other hand, A static method is a method within a Python class that does not use class or instance parameters. It is an independent function out of a class and is used as other normal functions of the class.


This question is asked to see how well developers differentiate between operatives in the program.


3. How Do You Explain The Python Concept To a Layman?

As a developer, this will probably be your toughest question, given that you have joined the senior developer's circle.


Python Developers undoubtedly have no problem explaining complex Python concepts to fellow developers and tech-inclined individuals at a conference. The problem usually begins when they need to teach a layperson about concepts and functions in Python.

Understand that concepts like multiple inheritances, string representation, xrange, range, and import array- python concepts, are technical; simplifying them requires expertise and experience. This is why this question is a gold mine to include in your interview questions as a hirer.


To answer this question rightly, developers must ensure to use simple analogies and stay away from technical jargon and concepts. 


The essence of this question is to ensure that when they work in a team of not-so-technical individuals like product managers, marketers, designers, and accountants, they can communicate complex technical ideas to the understandable bits. 


4. Does Python Support Abstract Classes as Much As  Objective-Oriented Programming?


This is dicey, but the answer is a Yes. 


Python’s built-in ABC module provides functionalities for abstract classes.


ABC.ABC class defines an abstract class, while ABC. ABC method defines an abstract method.

5. What Are Lambda Functions In Python? 

The lambda function, called the anonymous function, is a simple Python function without a function name.



The interview questions for senior python developers will test a developer's expertise in Python and how much they can solve real-time problems from the backend.


We are certain that the above-listed questions and answers are among the many preparations you need to evaluate any developer as an interviewer and impress your interviewer as a developer.



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