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Applying Math with Python - Second Edition

You're reading from  Applying Math with Python - Second Edition

Product type Book
Published in Dec 2022
Publisher Packt
ISBN-13 9781804618370
Pages 376 pages
Edition 2nd Edition
Languages
Concepts
Author (1):
Sam Morley Sam Morley
Profile icon Sam Morley

Table of Contents (13) Chapters

Preface 1. Chapter 1: An Introduction to Basic Packages, Functions, and Concepts 2. Chapter 2: Mathematical Plotting with Matplotlib 3. Chapter 3: Calculus and Differential Equations 4. Chapter 4: Working with Randomness and Probability 5. Chapter 5: Working with Trees and Networks 6. Chapter 6: Working with Data and Statistics 7. Chapter 7: Using Regression and Forecasting 8. Chapter 8: Geometric Problems 9. Chapter 9: Finding Optimal Solutions 10. Chapter 10: Improving Your Productivity 11. Index 12. Other Books You May Enjoy

Creating networks in Python

To solve the multitude of problems that can be expressed as network problems, we 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 nx alias. We can do this 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 Graph object that will store the nodes and edges that constitute the graph:
    G = nx.Graph()
  2. Next, we need to add the nodes for the network using the add_node method:
    G.add_node(1)
    G.add_node(2)
  3. To avoid calling this method repetitively...
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