Python (working with arrays) test: Online screening assessment to hire the best candidates
Summary of the Python (coding): working with arrays test
This Python coding test evaluates candidates’ ability to work with arrays. The test gives candidates 30 minutes to create a short algorithm involving arrays while taking into consideration all the requirements provided.
Covered skills
Working with arrays
Use the Python (coding): working with arrays test to hire
Developers with practical experience using Python.
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Time
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About the Python (coding): working with arrays test
Python is a high-level, general-purpose language that can be used in anything from web development to data science and machine learning. As an open-source programming language with a strong community, Python offers an expansive library of resources such as web frameworks, testing instruments, and data analysis tools.
One of the skills required of good Python developers is working with arrays. Arrays are special variables that hold collections of related values. Arrays allow developers to work with a large number of variables quickly and efficiently.
This test assesses candidates’ skills in working with Python arrays. The test provides candidates with a task description in the appropriate context and specifies the algorithms that need to be developed and the requirements to satisfy. It also provides a few examples to illustrate how the function should behave and asks candidates to solve the task. You can see a complete and functional example of a task by clicking the “preview questions” tab on this page.
Candidates can run their code to see if certain pre-defined inputs return the expected result. The test is scored automatically using a different set of test cases, which include more challenging corner cases. Once the test is complete, you can inspect the code of the candidate and play it back to interpret their thought process. You can also see the efficiency of the code shown in the results.
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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