SciPy Online Test

Test duration:

20

min

No. of questions:

10

Level of experience:

Entry/Mid/Expert

SciPy Test

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Assessed

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Organizations Served

About

SciPy Online Test

SciPy (Scientific Python) is a type of library that uses NumPy for its mathematical functions most of the time. In these functions, SciPy explicitly uses NumPy arrays as the primary data structure and comes with modules for various commonly used tasks in scientific programming, including linear algebra, integration (calculus), ordinary differential equation solving, and signal processing.

SciPy online test helps tech recruiters and hiring managers to assess candidates’ scientific programming skills with SciPy. This technical test is designed by experienced subject matter experts (SMEs) to evaluate and hire scientific Python developers as per industry standards.

‍SciPy online test helps 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

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How it works

Test Summary

SciPy (Scientific Python) is a type of library that uses NumPy for its mathematical functions most of the time. In these functions, SciPy explicitly uses NumPy arrays as the primary data structure and comes with modules for various commonly used tasks in scientific programming, including linear algebra, integration (calculus), ordinary differential equation solving, and signal processing.

SciPy online test helps tech recruiters and hiring managers to assess candidates’ scientific programming skills with SciPy. This technical test is designed by experienced subject matter experts (SMEs) to evaluate and hire scientific Python developers as per industry standards.

Test Duration

20

No. of Questions

10

Level of Expertise

Entry/Mid/Expert

Useful for hiring

Scientic Python Developer
Python Developer
Data Scientist

Topics Covered

Nonlinear Least-square

Discrete Random Variable Class

Newton Conjugate Gradient Algorithm

Data Science Applications

Scipy Package

I/O operations with Scipy

Sample Question

Choose from our 100,000+ questions library or add your own questions to make powerful custom tests.

Question types :

Multiple Option

Topic:

Scipy

Difficulty:

Hard

Question:

Consider the following code snippet:
import numpy as np
import scipy.stats

gaussian = scipy.stats.norm(loc=10, scale=3)
data = gaussian.rvs(1000)

data[10] = np.nan

m = scipy.stats.nanmean(data)

what would be the value of m?

Options