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  • Book Overview & Buying Data Science for Web3
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Data Science for Web3

Data Science for Web3

By : Gabriela Castillo Areco
5 (3)
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Data Science for Web3

Data Science for Web3

5 (3)
By: Gabriela Castillo Areco

Overview of this book

Data is the new oil and Web3 is generating it at an unprecedented rate. Complete with practical examples, detailed explanations, and ideas for portfolio development, this comprehensive book serves as a step-by-step guide covering the industry best practices, tools, and resources needed to easily navigate the world of data in Web3. You’ll begin by acquiring a solid understanding of key blockchain concepts and the fundamental data science tools essential for Web3 projects. The subsequent chapters will help you explore the main data sources that can help address industry challenges, decode smart contracts, and build DeFi- and NFT-specific datasets. You’ll then tackle the complexities of feature engineering specific to blockchain data and familiarize yourself with diverse machine learning use cases that leverage Web3 data. The book includes interviews with industry leaders providing insights into their professional journeys to drive innovation in the Web 3 environment. Equipped with experience in handling crypto data, you’ll be able to demonstrate your skills in job interviews, academic pursuits, or when engaging potential clients. By the end of this book, you’ll have the essential tools to undertake end-to-end data science projects utilizing blockchain data, empowering you to help shape the next-generation internet.
Table of Contents (23 chapters)
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1
Part 1 Web3 Data Analysis Basics
7
Part 2 Web3 Machine Learning Cases
15
Part 3 Appendix
1
Appendix 1
2
Appendix 2
3
Appendix 3

Technical requirements

We will utilize Web3.py, a library designed for interacting with EVM-based blockchains such as Ethereum. Originally a JavaScript library, it has since evolved “towards the needs and creature comforts of Python developers,” as stated in its documentation. Web3.py is a library that facilitates connection and interaction with the blockchain.

If you have not worked with Web3.py before, it can be installed with the following code:

pip install web3

The blockchain data is reached after connecting to a copy of the blockchain hosted on a node. Infura serves as a cloud-based infrastructure provider that streamlines our connection to the Ethereum network, eliminating the need to run our own nodes. Detailed steps for creating an account and obtaining an API key are provided in the Appendix 1.

Additionally, we will employ Ganache, a program that creates a local blockchain on our computer for testing and developing purposes. This tool allows us to simulate the behavior of a real blockchain without the necessity of spending real cryptocurrency for interactions. For a comprehensive guide on how to utilize Ganache, please refer to the Appendix 1.

You can find all the data and code files for this chapter in the book’s GitHub repository at https://github.com/PacktPublishing/Data-Science-for-Web3/tree/main/Chapter01. We recommend that you read through the code files in the Chapter01 folder to follow along.

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Data Science for Web3
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