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SciPy Recipes

You're reading from   SciPy Recipes A cookbook with over 110 proven recipes for performing mathematical and scientific computations

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788291460
Length 386 pages
Edition 1st Edition
Languages
Tools
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Authors (3):
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V Kishore Ayyadevara V Kishore Ayyadevara
Author Profile Icon V Kishore Ayyadevara
V Kishore Ayyadevara
Ruben Oliva Ramos Ruben Oliva Ramos
Author Profile Icon Ruben Oliva Ramos
Ruben Oliva Ramos
Luiz Felipe Martins Luiz Felipe Martins
Author Profile Icon Luiz Felipe Martins
Luiz Felipe Martins
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Table of Contents (11) Chapters Close

Preface 1. Getting to Know the Tools FREE CHAPTER 2. Getting Started with NumPy 3. Using Matplotlib to Create Graphs 4. Data Wrangling with pandas 5. Matrices and Linear Algebra 6. Solving Equations and Optimization 7. Constants and Special Functions 8. Calculus, Interpolation, and Differential Equations 9. Statistics and Probability 10. Advanced Computations with SciPy

Computing the probability mass function of a discrete random variable

A random variable is a variable whose value is unknown, or a variable for which the value changes over different iterations of the experiment.

For example, when we roll a die, the outcome of rolling the dice will vary over different iterations and hence the outcome becomes a random variable.

A random variable is discrete if the outcome of the random variable is limited to a few possible outcomes.

For example, the outcome of rolling a fair dice can only be 1, 2, 3, 4, 5, or 6; it cannot be a number beyond that. Thus, the outcome is limited to only a few possible values.

In the previous example, whenever a die is rolled, there is a probability associated with each outcome. For example, if a fair dice is rolled once, the probability that the outcome is 4 is 1/6, as all outcomes have an equal chance of being obtained...

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