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Python Data Science Essentials

You're reading from Python Data Science Essentials Learn the fundamentals of Data Science with Python

Product type Paperback

Published in Oct 2016

Publisher Packt

ISBN-13 9781786462138

Length 378 pages

Edition 2nd Edition

Languages

Python

Concepts

Data Science

Authors (2):

Alberto Boschetti

Luca Massaron

View More author details

Table of Contents (8) Chapters

Preface

1. First Steps FREE CHAPTER

2. Data Munging

3. The Data Pipeline

4. Machine Learning

5. Social Network Analysis

6. Visualization, Insights, and Results

1. Strengthen Your Python Foundations

Introduction to graph theory

Basically, a graph is a data structure that's able to represent relations in a collection of objects. Under this paradigm, the objects are the graph's nodes and the relations are the graph's links (or edges). The graph is directed if the links have an orientation (conceptually, they're like the one-way streets of a city); otherwise, the graph is undirected. In the following table, examples of well-known graphs are provided:

Graph example	Type	Nodes	Edges
World Wide Web	Directed	Web pages	Links
Facebook	Undirected	People	Friendship
Twitter	Directed	People	Follower
IP network	Undirected	Hosts	Wires/connections
Navigation systems	Directed	Places/addresses	Streets
Wikipedia	Directed	Pages	Anchor links
Scientific literature	Directed	Papers	Citations
Markov chains	Directed	Status	Emission probability

All the preceding examples can be expressed as relations between nodes as in a traditional RDBMS, such as MySQL or Postgres...

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Authors (2)

Alberto Boschetti

Alberto Boschetti

Alberto Boschetti is a data scientist with expertise in signal processing and statistics. He holds a Ph.D. in telecommunication engineering and currently lives and works in London. In his work projects, he faces challenges ranging from natural language processing (NLP) and behavioral analysis to machine learning and distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events.

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Luca Massaron

Luca Massaron

Having joined Kaggle over 10 years ago, Luca Massaron is a Kaggle Grandmaster in discussions and a Kaggle Master in competitions and notebooks. In Kaggle competitions he reached no. 7 in the worldwide rankings. On the professional side, Luca is a data scientist with more than a decade of experience in transforming data into smarter artifacts, solving real-world problems, and generating value for businesses and stakeholders. He is a Google Developer Expert(GDE) in machine learning and the author of best-selling books on AI, machine learning, and algorithms.

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