Numpy Online Test

Q: What are the main Python-related tests?

Here are some key Python-related tests: Python Online Test Python & SQL Test Python & Django Test Python Pandas Test

The NumPy online test uses multiple-choice questions to evaluate a candidate's knowledge and skills related to NumPy arrays and operations, indexing and slicing, linear algebra and statistics, broadcasting, ufuncs and vectorization, and data input and output. The test aims to assess the candidate's proficiency in NumPy and their ability to apply numerical computing and data analysis techniques using Python.

Covered skills:

Array Creation
Array Indexing and Slicing
Array Operations
Math Functions
Linear Algebra
File Handling
Broadcasting
Performance Optimization

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About the Numpy Test

The Numpy Online Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

Able to efficiently create and manipulate arrays using numpy
Thorough understanding of array indexing and slicing concepts
Proficient in performing various array operations
Comfortable working with math functions and performing mathematical computations using numpy
Strong grasp of linear algebra concepts and applications in numpy
Familiarity with file handling and reading/writing data using numpy
Understanding of broadcasting in numpy and its benefits
Able to optimize performance and improve execution speed of numpy computations

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Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

These are just a small sample from our library of 15,000+ questions. The actual questions on this Online NumPy Test will be non-googleable.

🧐 Question
Medium Array Manipulation and Summation Array Manipulation Mathematical Operations	Solve
Consider the following code snippet: What will be the value of G after executing the code?
Medium Matrix Eigenvalues and Diagonalization Linear Algebra Matrix Operations	Solve
Consider the following code snippet: After running this code, which of the following statements is true regarding the B matrix?
Medium ZeroDivisionError and IndexError Exceptions Exception Handling Error Handling	Solve
What will the following Python code output?
Medium Session File Handling Dictionary Csv Parsing Exception Handling In File Input/output	Solve
The function high_sess should compute the highest number of events per session of each user in the database by reading a comma-separated value input file of session data. The result should be returned from the function as a dictionary. The first column of each line in the input file is expected to contain the user’s name represented as a string. The second column is expected to contain an integer representing the events in a session. Here is an example input file: Tony,10 Stark,12 Black,25 Your program should ignore a non-conforming line like this one. Stark,3 Widow,6 Widow,14 The resulting return value for this file should be the following dictionary: { 'Stark':12, 'Black':25, 'Tony':10, 'Widow':14 } What should replace the CODE TO FILL line to complete the function?
Medium Max Code Arrays Code Analysis Algorithm Understanding	Solve
Below are code lines to create a Python function. Ignoring indentation, what lines should be used and in what order for the following function to be complete:
Medium Recursive Function Recursion Dictionary Lists	Solve
Consider the following Python code: In the above code, recursive_search is a function that takes a dictionary (data) and a target key (target) as arguments. It searches for the target key within the dictionary, which could potentially have nested dictionaries and lists as values, and returns the value associated with the target key. If the target key is not found, it returns None. nested_dict is a dictionary that contains multiple levels of nested dictionaries and lists. The recursive_search function is then called with nested_dict as the data and 'target_key' as the target. What will the output be after executing the above code?
Medium Stacking problem Stack Linkedlist	Solve
What does the below function ‘fun’ does? A: Sum of digits of the number passed to fun. B: Number of digits of the number passed to fun. C: 0 if the number passed to fun is divisible by 10. 1 otherwise. D: Sum of all digits number passed to fun except for the last digit.

	🧐 Question	🔧 Skill
	Medium Array Manipulation and Summation Array Manipulation Mathematical Operations	2 mins NumPy	Solve
Consider the following code snippet: What will be the value of G after executing the code?
	Medium Matrix Eigenvalues and Diagonalization Linear Algebra Matrix Operations	3 mins NumPy	Solve
Consider the following code snippet: After running this code, which of the following statements is true regarding the B matrix?
	Medium ZeroDivisionError and IndexError Exceptions Exception Handling Error Handling	2 mins Python	Solve
What will the following Python code output?
	Medium Session File Handling Dictionary Csv Parsing Exception Handling In File Input/output	2 mins Python	Solve
The function high_sess should compute the highest number of events per session of each user in the database by reading a comma-separated value input file of session data. The result should be returned from the function as a dictionary. The first column of each line in the input file is expected to contain the user’s name represented as a string. The second column is expected to contain an integer representing the events in a session. Here is an example input file: Tony,10 Stark,12 Black,25 Your program should ignore a non-conforming line like this one. Stark,3 Widow,6 Widow,14 The resulting return value for this file should be the following dictionary: { 'Stark':12, 'Black':25, 'Tony':10, 'Widow':14 } What should replace the CODE TO FILL line to complete the function?
	Medium Max Code Arrays Code Analysis Algorithm Understanding	2 mins Python	Solve
Below are code lines to create a Python function. Ignoring indentation, what lines should be used and in what order for the following function to be complete:
	Medium Recursive Function Recursion Dictionary Lists	3 mins Python	Solve
Consider the following Python code: In the above code, recursive_search is a function that takes a dictionary (data) and a target key (target) as arguments. It searches for the target key within the dictionary, which could potentially have nested dictionaries and lists as values, and returns the value associated with the target key. If the target key is not found, it returns None. nested_dict is a dictionary that contains multiple levels of nested dictionaries and lists. The recursive_search function is then called with nested_dict as the data and 'target_key' as the target. What will the output be after executing the above code?
	Medium Stacking problem Stack Linkedlist	4 mins Python	Solve
What does the below function ‘fun’ does? A: Sum of digits of the number passed to fun. B: Number of digits of the number passed to fun. C: 0 if the number passed to fun is divisible by 10. 1 otherwise. D: Sum of all digits number passed to fun except for the last digit.

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Array Manipulation and Summation Array Manipulation Mathematical Operations	NumPy	Medium	2 mins	Solve
Consider the following code snippet: What will be the value of G after executing the code?
	Matrix Eigenvalues and Diagonalization Linear Algebra Matrix Operations	NumPy	Medium	3 mins	Solve
Consider the following code snippet: After running this code, which of the following statements is true regarding the B matrix?
	ZeroDivisionError and IndexError Exceptions Exception Handling Error Handling	Python	Medium	2 mins	Solve
What will the following Python code output?
	Session File Handling Dictionary Csv Parsing Exception Handling In File Input/output	Python	Medium	2 mins	Solve
The function high_sess should compute the highest number of events per session of each user in the database by reading a comma-separated value input file of session data. The result should be returned from the function as a dictionary. The first column of each line in the input file is expected to contain the user’s name represented as a string. The second column is expected to contain an integer representing the events in a session. Here is an example input file: Tony,10 Stark,12 Black,25 Your program should ignore a non-conforming line like this one. Stark,3 Widow,6 Widow,14 The resulting return value for this file should be the following dictionary: { 'Stark':12, 'Black':25, 'Tony':10, 'Widow':14 } What should replace the CODE TO FILL line to complete the function?
	Max Code Arrays Code Analysis Algorithm Understanding	Python	Medium	2 mins	Solve
Below are code lines to create a Python function. Ignoring indentation, what lines should be used and in what order for the following function to be complete:
	Recursive Function Recursion Dictionary Lists	Python	Medium	3 mins	Solve
Consider the following Python code: In the above code, recursive_search is a function that takes a dictionary (data) and a target key (target) as arguments. It searches for the target key within the dictionary, which could potentially have nested dictionaries and lists as values, and returns the value associated with the target key. If the target key is not found, it returns None. nested_dict is a dictionary that contains multiple levels of nested dictionaries and lists. The recursive_search function is then called with nested_dict as the data and 'target_key' as the target. What will the output be after executing the above code?
	Stacking problem Stack Linkedlist	Python	Medium	4 mins	Solve
What does the below function ‘fun’ does? A: Sum of digits of the number passed to fun. B: Number of digits of the number passed to fun. C: 0 if the number passed to fun is divisible by 10. 1 otherwise. D: Sum of all digits number passed to fun except for the last digit.

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Why you should use Pre-employment Numpy Online Test?

The Online NumPy Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

Array Creation
Array Indexing and Slicing
Array Operations
Math Functions
Linear Algebra
File Handling
Broadcasting
Performance Optimization
Integrating Numpy with Python
Data Manipulation with Numpy

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Numpy Online Test?

Array Creation: Array creation refers to the process of initializing arrays with data. It includes functions such as np.array(), np.zeros(), np.ones(), and np.arange() that allow users to create arrays of desired shapes and fill them with specific values. This skill is measured in the test to assess the candidate's ability to create and manipulate arrays efficiently, which is essential in many data manipulation and analysis tasks.

Array Indexing and Slicing: Array indexing and slicing involve accessing and extracting specific elements or portions of an array. The numpy library provides various indexing techniques like integer array indexing, Boolean array indexing, and advanced indexing using integers or arrays of indices. Assessing this skill in the test helps evaluate the candidate's proficiency in extracting and manipulating array data based on specific requirements.

Array Operations: Array operations refer to mathematical and logical operations performed on arrays, such as addition, subtraction, multiplication, division, exponentiation, and comparisons. These operations can be performed element-wise or matrix-wise, allowing for efficient computation on large datasets. Including this skill in the test helps measure a candidate's ability to perform basic array operations, which are fundamental in data analysis and scientific computing.

Math Functions: Math functions in numpy include various mathematical operations like trigonometric functions, logarithmic functions, exponential functions, and statistical functions. These functions allow for efficient computation and manipulation of numerical data in arrays. Evaluating this skill in the test helps assess a candidate's understanding and application of mathematical functions for data processing and analysis.

Linear Algebra: Linear Algebra in numpy involves operations related to vectors, matrices, and linear equations. It includes functions for matrix multiplication, matrix inversion, finding eigenvalues and eigenvectors, solving linear equations, and performing matrix decompositions. Measuring this skill in the test helps determine a candidate's knowledge and proficiency in essential linear algebra operations used in various fields such as machine learning and scientific computing.

File Handling: File handling in numpy refers to the ability to read and write array data from and to external files. Numpy provides functions like np.loadtxt() and np.savetxt() that enable reading and writing arrays in different file formats. Assessing this skill in the test helps evaluate a candidate's capability to handle data stored in files, which is crucial in real-world data processing and analysis tasks.

Broadcasting: Broadcasting is a powerful numpy feature that allows arithmetic operations to be performed between arrays of different shapes. It eliminates the need for explicit loops and enables efficient computation with arrays of different sizes. Testing this skill helps measure a candidate's understanding and usage of broadcasting, which is essential to avoid unnecessary code complexity and improve computational efficiency.

Performance Optimization: Performance optimization in numpy involves implementing techniques to improve the efficiency and speed of computations. This may include vectorizing operations, using optimized numpy functions, using appropriate data types, and employing algorithms tailored for performance. Evaluating this skill in the test helps determine a candidate's ability to optimize code execution, which is crucial when dealing with large datasets or computationally intensive tasks.

Full list of covered topics

The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Online NumPy Test to be based on.

Array Creation

Array Indexing

Array Slicing

Array Operations

Math Functions

Linear Algebra

File Handling

Broadcasting

Performance Optimization

Array Reshaping

Array Concatenation

Array Splitting

Array Sorting

Array Filtering

Array Transposition

Array Stacking

Array Broadcasting Rules

Matrix Multiplication

Eigenvalues and Eigenvectors

Singular Value Decomposition

Vectorization

Element-wise Operations

Dot Product

Cross Product

Transpose

Inverse

Matplotlib Integration

Random Number Generation

Array Access and Updates

Array Comparison

Array Masking

Vector Norms

Matrix Determinant

Kronecker Product

File Reading

File Writing

Broadcasting Rules

Array Elementwise Operations

Array Reduction

Array Broadcasting

Array Broadcasting Rules

Performance Profiling

Memory Management

Parallel Processing

Caching

Array Verification

Array Iteration

Array Tiling

Array Tapering

Array Shuffling

Array Synchronization

Array Memory Allocation

Test Case Generation

What roles can I use the Numpy Online Test for?

Python Developer
NumPy Developer
Data Analyst
Data Scientist
Machine Learning Engineer

How is the Numpy Online Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

Error Handling in Numpy
Working with Multidimensional Arrays
Understanding Broadcasting Rules
Implementing Linear Algebra Operations
Handling Large Data with Numpy
Optimizing Numpy Code for Efficiency
Using Numpy for Scientific Computing
Memory Management in Numpy
Parallel Processing in Numpy
Advanced Array Manipulation Techniques

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Have questions about the Numpy Hiring Test?

What is Online NumPy Test?

The Online NumPy Test is designed to evaluate a candidate's proficiency in NumPy, a core library for numerical computing in Python. It is widely used by recruiters to assess skills such as array creation, indexing, slicing, and various array operations.

Can I combine Python Test with NumPy questions?

Yes, recruiters can request a custom test that combines Python questions with NumPy questions. To know more about how we assess Python skills, you can check out the Python Online Test.

What senior-level skills are assessed in the Online NumPy Test?

The assessment includes senior-level skills like error handling in NumPy, working with multidimensional arrays, understanding broadcasting rules, implementing linear algebra operations, and optimizing NumPy code for efficiency.

How to use Online NumPy Test in my hiring process?

Use it as a pre-screening tool at the start of your hiring process. Add a link to the assessment in your job post or invite candidates by email. This helps in identifying the most skilled candidates early on.

What are the main Python-related tests?

Here are some key Python-related tests:

Can I combine multiple skills into one custom assessment?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

Non-googleable questions
IP proctoring
Screen proctoring
Web proctoring
Webcam proctoring
Plagiarism detection
Secure browser
Copy paste protection

Read more about the proctoring features.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

What is the cost of using this test?

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Can I get a free trial?

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Here is a quick guide on how to request a custom assessment on Adaface.

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