Python Interview Questions | Day 8
Today is Day 8 and we will be taking up 10 Python interview questions. The below python interview questions will mostly be around definitions, parameters, etc.
You need to understand that in general there is a difference between Data Science and Software Developer interview.
A Data Scientist is mostly asked on the implementation of algorithms and the interviewer concentrate very less on the syntax part. But if you have written in your resume that you can code in Python then you can expect a few questions on the basic concepts of Python.
So, let’s start.
Before we get started, do create your profile on the website. The ‘Login’ area is at your extreme left 🙂
You can get previous days questions here
Day 1- Overview – http://thedatamonk.com/data-science-interview-question-day1/
Day 2- SQL – http://thedatamonk.com/sql-interview-questions/
Day 3- Joins in SQL –http://thedatamonk.com/joins-in-sql/
Day 4 – Statistics – http://thedatamonk.com/statistics-interview-question/
Day 5 – Machine Learning – http://thedatamonk.com/machine-learning-interview-question/
Day 6 – Forecasting – http://thedatamonk.com/forecasting-interview-questions/
Day 7 – ARIMA – http://thedatamonk.com/arima-interview-questions/
Questions on Python
Split and Join Function in Python – http://thedatamonk.com/question/split-and-join-function-in-python/
Global, protected and private attributes http://thedatamonk.com/question/global-protected-and-private-attributes/
Value and Reference – http://thedatamonk.com/question/value-and-reference/
What is Pass in Python – http://thedatamonk.com/question/what-is-pass-in-python/
How to copy an object in Python – http://thedatamonk.com/question/how-do-you-copy-an-object-in-python/
_init_ in Python – http://thedatamonk.com/question/what-is-__init__/
Try to answer all these questions by yourself or with the help of google 😛
In order to practice more courses on Data Science, we definitely recommend Data Camp
Practice all the questions posted over here, try to make sure that you attempt the questions. we evaluate answers every now and then and provide particular feedback on your performace
If you want any guidance or want to make a career in Data Science, then you can take a look on our proposed Data science path
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Keep Learning 🙂
The Data Monk