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The Applied Data Science Workshop

You're reading from The Applied Data Science Workshop Get started with the applications of data science and techniques to explore and assess data effectively

Product type Paperback

Published in Jul 2020

Publisher Packt

ISBN-13 9781800202504

Length 352 pages

Edition 2nd Edition

Languages

Python

Tools

Jupyter

Concepts

Data Science

Author (1):

Alex Galea

View More author details

Table of Contents (8) Chapters

Preface

Installing Libraries

1. Introduction to Jupyter Notebooks

2. Data Exploration with Jupyter FREE CHAPTER

3. Preparing Data for Predictive Modeling

4. Training Classification Models

5. Model Validation and Optimization

6. Web Scraping with Jupyter Notebooks

Appendix

Introduction to HTTP Requests

The Hypertext Transfer Protocol, or HTTP for short, is the foundation of data communication for the internet. It defines how a page should be requested and how the response should look. For example, a client can request an Amazon page of laptops for sale, a Google search of local restaurants, or their Facebook feed. Along with the URL, the request will contain the user agent and available browsing cookies among the contents of the request header.

The user agent tells the server what browser and device the client is using, which is usually used to provide the most user-friendly version of the web page's response. Perhaps they have recently logged in to the web page; such information would be stored in a cookie that might be used to automatically log the user in.

These details of HTTP requests and responses are taken care of under the hood thanks to web browsers. Luckily for us, today, the same is true when making requests with high-level languages...

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Authors (1)

Galea

Galea

Alex Galea has been professionally practicing data analytics since graduating with a masters degree in physics from the University of Guelph, Canada. He developed a keen interest in Python while researching quantum gases as part of his graduate studies. Alex is currently doing web data analytics, where Python continues to play a key role in his work. He is a frequent blogger about data-centric projects that involve Python and Jupyter Notebooks.

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