NumPy test
Summary of the NumPy test
This NumPy test evaluates candidates’ knowledge of NumPy and their ability to solve situational tasks using the Python library’s functionalities. The test will help you identify candidates who are proficient in NumPy.
Covered skills
Creating NumPy arrays
Manipulating NumPy arrays
Using basic built-in functions
Using advanced built-in functions
Use the NumPy test to hire
Data engineers, data analysts, data visualization creators, machine learning engineers, artificial intelligence engineers and any other roles requiring intermediate knowledge of the NumPy Python library.
About the NumPy test
NumPy is one of the most powerful Python libraries and is used in industry for array computing. NumPy offers a convenient tool for working with data containing multi-dimensional arrays and matrix data structures.
In our age of information and technologies, any business deals with massive amounts of data. It is crucial to efficiently organize that data to access and use it easily in everyday activities.
This NumPy test assesses candidates’ knowledge and skills in working with data using NumPy functionalities. These include the creation of NumPy arrays, which are user-friendly containers for storing information, manipulating those arrays, and navigating both basic and advanced built-in functions that can be used automatically instead of writing the code from scratch.
Candidates who perform well on this test demonstrate strong knowledge of NumPy and can find solutions for different problems while dealing with and manipulating data. This NumPy test is geared toward an intermediate level and requires not only theoretical but also practical experience to solve real-life scenarios that one can encounter when working with NumPy.
The test is made by a subject-matter expert
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.
Gary R.
Gary has been working in the data science field for more than three years and is proficient in the fields of machine learning and data analysis. He has a Bachelor’s degree in Economics and a Master’s degree in Computer Science.
The combination of those two fields helps Gary to achieve even greater results. He is fond of computer science and loves to work on projects related to Artificial Intelligence which is, in his opinion, the future of our world.
Reliability: Cronbach’s alpha coefficient = .64
Face validity: Candidates rated this test as accurately measuring their skills (average score of 3.70 out of 5.00, N = 192).
Criterion-related validity: Candidates with higher scores on this test received higher average ratings from the hiring team during the selection process (r = .22, N = 119).
For an in-depth look at interpreting test results, please take a look at our Science series articles: How to interpret test fact sheets (part 1): Reliability, and How to interpret test fact sheets (part 2): Validity.
For an explanation of the various terms, please refer to our Science glossary.
Reliability and validity | Sufficient data available | Analyses and checks conducted | Outcome |
|---|---|---|---|
Reliability | ✔ | ✔ | Acceptable |
Content validity | ✔ | ✔ | Acceptable |
Face validity | ✔ | ✔ | Acceptable |
Construct validity | ✔ | ✔ | Acceptable |
Criterion-related validity | ✔ | ✔ | Acceptable |
Group differences | |||
Age differences | Pending | Pending | Pending |
Gender differences | ✔ | ✔ | Acceptable |
Ethnicity differences | Pending | Pending | Pending |
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Find exceptional engineers with this online NumPy test
The NumPy library is a powerful tool for one of the most popular programming languages, Python, and many companies are looking to hire talented NumPy engineers. Is yours among them? Need to know if your applicants understand how to work with data in NumPy?
To do it and be sure that their skills meet the criteria of your open role, our NumPy test is one of the best options you can find online to evaluate your applicants’ knowledge and skills. It’s a hiring tool designed to assist you in hiring the best engineers for your business.
No need to stress if you haven’t discovered an innovative, effortless way to evaluate seasoned NumPy engineers as a non-technical recruiter. This is precisely what our experts created the online NumPy test for.
NumPy experts can ensure your organization finds exceptional solutions for complex problems as they handle and manipulate data in NumPy. Having a skilled NumPy engineer on your team can help your business take advantage of code optimization features and compressing memory space options when handling arrays in NumPy.
NumPy arrays are much more compact than a Python list, which is why having an expert in NumPy on your team can ensure faster and more efficient runtimes.
And yet, recruiting the right NumPy professional can be a challenge. There’s a combination of technical and non-technical skills to assess, and you may have tens or hundreds of applications you need to screen.
Naturally, we have unconscious biases, which may impact our hiring decisions. So which approach can make recruitment more manageable and faster? How can you avoid unconscious biases when hiring?
Use this NumPy test online to assess applicants in an instant
This NumPy skills test assesses a range of skills. Find out quickly whether your applicants can create NumPy arrays and manipulate them, use containers to store information, and use built-in functions to avoid starting from scratch when writing code.
Using this NumPy test online to evaluate applicants means you’ll never face any issues with unconscious bias or lengthy recruitment times, and won’t have to deal with the tedious task of screening tens or hundreds of CVs.
Find out whether your applicants have the 4 vital NumPy skills with this NumPy online test
Determining whether your applicants have the right NumPy skills in the 4 key areas of expertise is simple. Use this NumPy skills test to evaluate the skills listed just below and find out if your applicants are suited to your role.
In-depth knowledge of making NumPy arrays
Creating NumPy arrays is the first sub skill you can evaluate using our NumPy test online. If you want to determine whether your applicants understand what arrays are used for and how to build a collection of items that are classed as the same data type, you can test this ability with TestGorilla’s NumPy skills test.
Expertise in NumPy arrays manipulation
To use the grid of values or array data structures efficiently, applicants should have an in-depth knowledge of using NumPy arrays and know how to manipulate them to store data collections. Our test features the right NumPy questions to help you evaluate your applicants’ ability to manipulate NumPy arrays.
Skills related to using the essential built-in NumPy functions
Various essential built-in NumPy functions assist engineers with arithmetic functions and enable them to deal with complex figures and equations. With this NumPy skills test, you can easily figure out whether your applicants have the right skills to use these crucial built-in NumPy functions.
Proficiency in using the advanced built-in NumPy functions
Some of the NumPy functions are more advanced and require a higher level of expertise. Our test features the right NumPy questions to evaluate whether applicants are proficient in using NumPy’s advanced built-in functions, such as vectorize().
Use a data-driven assessment to evaluate NumPy engineers’ abilities
TestGorilla’s NumPy skills test offers reliable test scores (provided as percentages) for every candidate who completes the skills test. With the automatic scoring feature, you can simply look at the percentages, where 100% is the highest, to determine whether your applicants’ NumPy skills are the right match for your role.
Proficient professionals also designed the NumPy skills test to mitigate unconscious bias. Use the data provided by our NumPy skills test to make the best decision and hire the perfect candidate.
Choose TestGorilla’s NumPy skills test to hire first-rate engineers
Want to know the advantages of using our NumPy skills test? Here’s how it will reveal which engineers are the best among your applicants and make the hiring process smoother.
Use an unbiased skills assessment to hire exceptional NumPy engineers
Our NumPy skills test is the top solution for unbiased hiring. Staying objective in recruitment can be challenging, but when you use our NumPy test online you’ll encounter no difficulties in creating an objective hiring process.
So, if you’re wondering what’s needed to make unbiased hiring choices, this online NumPy test is for you. It ensures you’ll get the data you need from applicants to hire objectively. You simply need to create your first skills assessment with our NumPy test and invite candidates to complete it.
Evaluate applicants who may be more technically proficient than you
There’s another challenge you may face, and that’s hiring an applicant who may have more technical skills than you do. Which method can assist you in situations like these? Our NumPy skills test will provide the support you need to complete the candidate assessment phase even in cases where the applicant has superior NumPy skills and knowledge than you. This skills test assesses even the most advanced functions of NumPy, helping you hire true experts.
Save time and tackle hiring challenges with skills tests
Resumes that stack higher than your ceiling can be pretty intimidating when hiring a NumPy expert, but this doesn’t have to stand in your way. If you use our NumPy skills test instead of resume screening, you can save a lot of time – and your evaluation of applicants’ skills will be much more accurate. Just administer the test and wait for the results, and you’ll see that hiring the right applicant can be done much faster than ever before.
Improve the quality of hire with this NumPy skills test
We get it. You want a solution that will help you find the best NumPy engineers in a minimal amount of time.
The secret is our online NumPy test that businesses like Oracle and Majorel have adopted. 6,000 companies and their recruitment teams have chosen TestGorilla to improve their hiring. Join them to streamline your recruitment and make better hires, faster.
FAQs
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The NumPy test will be included in a PDF report along with the other tests from your assessment. You can easily download and share this report with colleagues and candidates.
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