Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - SciPy Section Introduction

What is Scipy primarily known for in comparison to Numpy?

• Being a standalone programming language

• Focusing solely on data visualization

• Adding advanced functionalities from various fields

• Being a simpler version of Numpy

What assumption is made about the learners' knowledge in this Scipy section?

• They are experts in computer vision

• They have a basic understanding of probability

• They are proficient in signal processing

• They have no prior knowledge of statistics

Which distribution is highlighted in Scipy's statistical capabilities?

• Binomial distribution

• Multivariate normal distribution

• Poisson distribution

• Uniform distribution

What is a key feature of Scipy in terms of probability functions?

• It does not support probability functions

• It is limited to calculating variance

• It can calculate special probability functions like PDF and CDF

• It can only calculate the mean

In which fields is convolution, as supported by Scipy, considered fundamental?

• Deep learning, computer vision, and signal processing

• Web development and design

• Network security

• Database management