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Data Science for Web3

You're reading from   Data Science for Web3 A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781837637546
Length 344 pages
Edition 1st Edition
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Concepts
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Author (1):
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Gabriela Castillo Areco Gabriela Castillo Areco
Author Profile Icon Gabriela Castillo Areco
Gabriela Castillo Areco
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Table of Contents (23) Chapters Close

Preface 1. Part 1 Web3 Data Analysis Basics
2. Chapter 1: Where Data and Web3 Meet FREE CHAPTER 3. Chapter 2: Working with On-Chain Data 4. Chapter 3: Working with Off-Chain Data 5. Chapter 4: Exploring the Digital Uniqueness of NFTs – Games, Art, and Identity 6. Chapter 5: Exploring Analytics on DeFi 7. Part 2 Web3 Machine Learning Cases
8. Chapter 6: Preparing and Exploring Our Data 9. Chapter 7: A Primer on Machine Learning and Deep Learning 10. Chapter 8: Sentiment Analysis – NLP and Crypto News 11. Chapter 9: Generative Art for NFTs 12. Chapter 10: A Primer on Security and Fraud Detection 13. Chapter 11: Price Prediction with Time Series 14. Chapter 12: Marketing Discovery with Graphs 15. Part 3 Appendix
16. Chapter 13: Building Experience with Crypto Data – BUIDL 17. Chapter 14: Interviews with Web3 Data Leaders 18. Index 19. Other Books You May Enjoy Appendix 1
1. Appendix 2
2. Appendix 3

Technical requirements

We will be using Tweepy, a Python library that allows us to easily interact with X. With Tweepy, we can fetch, post, and retrieve information about tweets, users, and much more. To start using Tweepy, we first need to register for a developer account on the Twitter developer website and obtain a set of API keys, as explained in Appendix 2. The documentation for Tweepy is available at https://docs.tweepy.org/en/stable/.

If you have not worked with Tweepy before, it can be installed with the following code:

pip install tweepy

Additionally, we’ll be utilizing Plotly graph objects and Plotly Express, two visualization libraries that empower us to create interactive visualizations with Python. Plotly Express is a high-level library that allows us to plot common types of graphs—such as scatter plots, line charts, maps, pie charts, and more—with minimal lines of code. The documentation for Plotly Express can be found at https://plotly.com...

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