你好! Shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Practical Web Scraping for Data Science
Type
Physical Book
Publisher
Author
Year
2018
Language
English
Pages
324
Format
Paperback
Dimensions
25.4 x 17.8 cm
ISBN13
9781484235836

Practical Web Scraping for Data Science

Bart Baesens;Seppe Vanden Broucke (Author) · Springer Nature B.V. · Paperback

Practical Web Scraping for Data Science - Bart Baesens;Seppe vanden Broucke

New Book Imported to Taiwan
Delivery: 15 Sep - 28 Sep Shipping: 11 to 15 business days.
NT$ 2,158
NT$ 2,158

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Practical Web Scraping for Data Science"

This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. Written with a data science audience in mind, the book explores both scraping and the larger context of web technologies in which it operates, to ensure full understanding. The authors recommend web scraping as a powerful tool for any data scientist’s arsenal, as many data science projects start by obtaining an appropriate data set.



Starting with a brief overview on scraping and real-life use cases, the authors explore the core concepts of HTTP, HTML, and CSS to provide a solid foundation. Along with a quick Python primer, they cover Selenium for JavaScript-heavy sites, and web crawling in detail. The book finishes with a recap of best practices and a collection of examples that bring together everything you’ve learned and illustrate various data science use cases.



What You’ll Learn

* Leverage well-established best practices and commonly-used Python packages

* Handle today’s web, including JavaScript, cookies, and common web scraping mitigation techniques
* Understand the managerial and legal concerns regarding web scraping

Who This Book is For


A data science oriented audience that is probably already familiar with Python or another programming language or analytical toolkit (R, SAS, SPSS, etc). Students or instructors in university courses may also benefit. Readers unfamiliar with Python will appreciate a quick Python primer in chapter 1 to catch up with the basics and provide pointers to other guides as well.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews