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Applying Math with Python

You're reading from   Applying Math with Python Practical recipes for solving computational math problems using Python programming and its libraries

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781838989750
Length 358 pages
Edition 1st Edition
Languages
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Authors (2):
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Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
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Toc

Table of Contents (12) Chapters Close

Preface 1. Basic Packages, Functions, and Concepts 2. Mathematical Plotting with Matplotlib FREE CHAPTER 3. Calculus and Differential Equations 4. Working with Randomness and Probability 5. Working with Trees and Networks 6. Working with Data and Statistics 7. Regression and Forecasting 8. Geometric Problems 9. Finding Optimal Solutions 10. Miscellaneous Topics 11. Other Books You May Enjoy

Creating networks in Python

In order to solve the multitude of problems that can be expressed as network problems, we first need a way of creating networks in Python. For this, we will make use of the NetworkX package and the routines and classes it provides to create, manipulate, and analyze networks.

In this recipe, we'll create an object in Python that represents a network and add nodes and edges to this object.

Getting ready

As we mentioned in the Technical requirements section, we need the NetworkX package to be imported under the alias nx by using the following import statement:

import networkx as nx

How to do it...

Follow these steps to create a Python representation of a simple graph:

  1. We need to create a new Graphobject that will store the nodes and edges that constitute the graph:
G = nx.Graph()
  1. Next, we need to add the nodes for the network using the add_node...
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