Our online NumPy test is the ideal pre-hire assessment for recruiters and hiring managers to assess a candidate’s skills objectively before an interview. NumPy online test is useful for hiring Numpy developer and has helped our customers reduce hiring costs by 40%.
NumPy is called a general-purpose array-processing package. It helps to provide a high-performance multidimensional array object and tools for working with these arrays. NumPy is an open-source extension module for Python, which provides fast precompiled functions for mathematical and numerical routines. NumPy mainly enriches the programming language Python with powerful data structures for efficient computation of multi-dimensional arrays and matrices.
Online NumPy test helps recruiters and hiring managers to assess the candidate’s ability to work with N-dimensional NumPy arrays. NumPy online test is created and validated by experienced Subject Matter Experts (SMEs) to assess and hire NumPy developer- as per the industry standards.
NumPy assessment test helps to screen the candidates who possess traits as follows:
Our powerful reporting will give you an instant result and an option to share this result with your recruiting team. You can analyze section wise performance of candidate to gauge his/her strengths and weaknesses. Features like window violation and webcam proctoring help to detect cheating during the test.
NumPy skills test will evaluate a candidate's practical knowledge and will identify whether the candidate is ready to be employed. NumPy test can be taken online by candidates from anywhere in the comfort of their time zone.
NumPy pre-employment test may contain MCQ's (Multiple Choice Questions), MAQ's (Multiple Answer Questions), Fill in the Blanks, Descriptive, Whiteboard Questions, Audio / Video Questions, AI-LogicBox (AI-based Pseudo-Coding Platform), Coding Simulations, True or False Questions, etc.
Predict the correct output of the following NumPy code snippet.
import numpy as np
arr = np.array([[6, 7, 8], [1, 2, 3], [9, 3, 2]])
print arr[-1, 0:2]