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SciPy (Scientific Python) is a type of library that uses NumPy for its mathematical functions most of the time. In these functions, SciPy specifically uses NumPy arrays as the basic data structure and comes with modules for various commonly used tasks in scientific programming that includes linear algebra, integration (calculus), ordinary differential equation solving, and signal processing.
SciPy online test helps tech recruiters and hiring managers assess candidate’s scientific programming skills with SciPy. SciPy technical test is designed by experienced subject matter experts (SMEs) to evaluate and hire scientific Python developer as per the industry standards.
SciPy online testhelps to screen the candidates who possess traits as follows:
Experience in SciPy packages and functions like Discrete Random Variable Class
Good knowledge of various I/O operations with Scipy
Understanding of using Newton Conjugate Gradient Algorithm in SciPy
Familiarity with data science applications and their functions
SciPy technical test is a secure and reliable way of candidate assessment. You can use our role-based access control feature to restrict system access based on the roles of individual users within the recruiting team. Features like window violation, image, audio & video proctoring help detect cheating during the test.
This test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Whiteboard Questions, Audio / Video Questions, LogicBox (AI-based Pseudo-Coding Platform), Coding Simulators, True or False Questions, etc.
This SciPy Online Test is useful for hiring
Scientic Python Developer
Consider the following code snippet:
import numpy as np
gaussian = scipy.stats.norm(loc=10, scale=3)
data = gaussian.rvs(1000)
data = np.nan
m = scipy.stats.nanmean(data)
what would be the value of m?
Using the scipy cluster package (scipy.cluster), how would you classify a set of observations into k-clusters using the k-means algorithm?