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SciPy Test
Test duration:
20
min
No. of questions:
10
Level of experience:
Entry/Mid/Expert

SciPy Test

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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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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.

Useful for hiring
  • Scientic Python Developer
  • Python Developer
  • Data Scientist
Test Duration
20
min
No. of Questions
10
Level of Expertise
Entry/Mid/Expert
Topics Covered
Shuffle

Nonlinear Least-square

Discrete Random Variable Class

Shuffle

Newton Conjugate Gradient Algorithm

Shuffle

Data Science Applications

Shuffle

Scipy Package

Shuffle

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 type
Multiple Option
Topics covered
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

  • 1000
  • 10
  • 3
  • Approximately 10
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