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You're reading from  Data Science for Web3

Product typeBook
Published inDec 2023
PublisherPackt
ISBN-139781837637546
Edition1st Edition
Concepts
Data Science
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Author (1)
Gabriela Castillo Areco
Gabriela Castillo Areco
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Gabriela Castillo Areco

Gabriela Castillo Areco holds an M.Sc. in big data science from the TECNUM School of Engineering, University of Navarra. With extensive experience in both the business and data facets of blockchain technology, Gabriela has undertaken roles as a data scientist, machine learning analyst, and blockchain consultant in both large corporations and small ventures. She served as a professor of new crypto businesses at Torcuato di Tella University and is currently a member of the BizOps data team at IOV Labs.
Read more about Gabriela Castillo Areco

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Technical requirements

In this chapter, we will extensively utilize the requests library. This popular and user-friendly Python library simplifies the process of sending HTTP requests and handling responses. HTTP requests form the foundation of client-server communication in web applications and APIs, enabling clients to request specific resources or perform actions on the server, such as data retrieval, creation, modification, and deletion.

If you haven’t installed requests yet, you can do so by executing the following command:

pip install requests

The documentation for requests is available at the following link: https://requests.readthedocs.io/en/latest/.

You can find all the data and code files for this chapter in the book’s GitHub repository, accessible here: https://github.com/PacktPublishing/Data-Science-for-Web3/tree/main/Chapter02.

We recommend that you read through the code files in the Chapter02 folder to follow along with the chapter.

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Data Science for Web3
Published in: Dec 2023Publisher: PacktISBN-13: 9781837637546
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Gabriela Castillo Areco

Gabriela Castillo Areco holds an M.Sc. in big data science from the TECNUM School of Engineering, University of Navarra. With extensive experience in both the business and data facets of blockchain technology, Gabriela has undertaken roles as a data scientist, machine learning analyst, and blockchain consultant in both large corporations and small ventures. She served as a professor of new crypto businesses at Torcuato di Tella University and is currently a member of the BizOps data team at IOV Labs.
Read more about Gabriela Castillo Areco

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