Python data structures & objects test: Screening assessment to hire the best candidates

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Python (coding): data structures & objects test

Summary of the Python (coding): data structures & objects test

This Python data structures & objects test evaluates your candidate’s object-oriented programming skills. In 30 minutes, they will work with Python objects and implement a data structure. This test will help you hire mid-level Python developers.

Covered skills

  • Data structures & objects

Use the Python (coding): data structures & objects test to hire

Any developer who is expected to have practical experience using Python. The difficulty level of these questions is geared to mid-level developers.

Type

Programming skills

Time

30 min

Languages

English

Level

Intermediate

About the Python (coding): data structures & objects test

Python is a general-purpose language that has become very popular, in part due to the wide range of use cases, from web development to data science and machine learning. Good Python developers are therefore highly sought after.

Working with and implementing data structures is crucial to the success of a developer. An effective data structure will enable you to effectively manage, organize, and represent your data. Data structures are often implemented as objects, so the ability to effectively work with objects and understand object-oriented programming is an important skill to have.

This coding test presents a real-life scenario to your candidates. They have 30 minutes to implement a data structure that meets the given requirements. Candidates can run the code against a selected number of test cases to see if they are on track. After submission, the code is automatically scored based on another set of test cases that also covers exceptions or corner cases. You will be able to play back how the code came about in the coding editor.

We recommend combining this coding test with other programming tests such as Django and SQL, as well as cognitive ability tests.

The test is made by a subject-matter expert

Alfred W.

Alfred is an experienced software engineer with deep expertise in Python development, data engineering, and cloud solutions architecture. He has built out a cloud native data platform for a $16B hedge fund that systematically ingested TBs/PBs of data to drive quantitative trading strategies.

Alfred is also a certified AWS Solutions Architect and DevOps Engineer at the Professional. In his free time, he enjoys reading about personal psychology and new trends in technology.

Crafted with expert knowledge

TestGorilla’s tests are created by subject matter experts. We assess potential subject-matter experts based on their knowledge, ability, and reputation. Before being published, each test is peer-reviewed by another expert, then calibrated using hundreds of test takers with relevant experience in the subject. Our feedback mechanisms and unique algorithms allow our subject-matter experts to constantly improve their tests.

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Review from G2

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