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8 Important Python Interview Questions and Answers

Looking for a Python job? This article explains Python interview questions and answers them for you. It explains both some Python coding interview questions but also some non-technical questions. This article also contains Python interview questions and answers for testers which can form a source of inspiration.

Slightly related is this article which explains the difference between software engineers and software developers.


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Data Blogger Courses

Mastering Pandas

In this course, you will learn how to use the Python Pandas. After the course, you will be able to:

  • Load and transform your data
  • Visualizing data using line plots, scatter plots and histograms
  • Merging and storing data

The course also includes more advanced topics, such as data parallelization and aggregation.

You can see all course content under “Curriculum” on Data Blogger Courses and the first three lessons are free. The first free lesson can be found here.

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Python List Comprehension + Set + Dict Comprehension

Python List Comprehension support is great for creating readable but compact code for representing mathematical ideas. In this blog post, the concept of list, set and dictionary comprehensions are explained and a few examples in Python are given.

Maybe slightly different but also interesting is this blog post which explains Matplotlib for Python step-by-step. Something completely different: if you are looking for a Pythonic job, but don’t know how to answer Python interview questions, take a look at this article.


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Python Matplotlib (pyplot), a step-by-step Tutorial

In this Python Matplotlib tutorial series, you will learn how to create and improve a plot in Python using pyplot. Matplotlib is a 2D plotting library written for Python. It consists of pyplot (in the code often shortened by “plt”), which is an object oriented interface to the plotting library. Matplotlib is an initiative of John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team. Lets stop talking and start creating some beautiful plots using Matplotlib!


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