SciPy Interview Questions and Answers
Freshers / Beginner level questions & answers
Ques 1. What is SciPy?
SciPy is an open-source library used for scientific and technical computing in Python. It builds on NumPy and provides additional functionality for optimization, integration, interpolation, eigenvalue problems, signal processing, and more.
Ques 2. Explain the difference between SciPy and NumPy.
NumPy focuses on numerical operations and provides support for arrays, while SciPy builds on NumPy by offering additional functionality for scientific computing, including optimization, signal processing, and statistical functions.
Ques 3. What is the purpose of `scipy.stats.linregress`?
`scipy.stats.linregress` is used for linear regression analysis. It calculates the slope, intercept, correlation coefficient, p-value, and standard error of the slope for a set of data.
Ques 4. What is the purpose of `scipy.constants` module?
The `scipy.constants` module provides physical and mathematical constants. It includes constants like the speed of light, Planck's constant, and gravitational constant.
Ques 5. Explain the role of `scipy.stats.mannwhitneyu`.
`scipy.stats.mannwhitneyu` is used for the Mann-Whitney U test, a nonparametric test for comparing two independent samples. It assesses whether the distributions of the two samples are equal.
Most helpful rated by users:
Related interview subjects
| Deep Learning interview questions and answers - Total 29 questions |
| Flask interview questions and answers - Total 40 questions |
| PySpark interview questions and answers - Total 30 questions |
| PyTorch interview questions and answers - Total 25 questions |
| Data Science interview questions and answers - Total 23 questions |
| SciPy interview questions and answers - Total 30 questions |
| Generative AI interview questions and answers - Total 30 questions |
| NumPy interview questions and answers - Total 30 questions |
| Python interview questions and answers - Total 106 questions |
| Python Pandas interview questions and answers - Total 48 questions |
| Python Matplotlib interview questions and answers - Total 30 questions |
| Django interview questions and answers - Total 50 questions |
| Pandas interview questions and answers - Total 30 questions |