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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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Toc

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

Using constants in the CODATA database

In the next recipe, we will cover the constants like those used in the CODATA database.

Getting ready

The following the functions needed to be installed before we use them.

Constants database

In addition to the preceding variables of the function, scipy.constants also contains the 2014 CODATA recommended values database containing more physical constants.

In the following table we can see the name of the functions and the description

Function

Description

value (key)

Value in physical_constants indexed by key

unit (key)

Unit in physical_constants indexed by key
precision (key) Relative precision in physical_constants indexed by key
find ([sub, disp]) Return list of...
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