Name: Practical web Scraping for Data Science: Best Practices and Examples With Python (en Inglés)
Price: 77740.00 CLP
Availability: InStock
Author: Seppe Vanden Broucke
ISBN: 9781484235812

portada Practical web Scraping for Data Science: Best Practices and Examples With Python (en Inglés)

Formato

Libro Físico

Editorial

Apress

Autor

Seppe Vanden Broucke

Año

2018

Idioma

Inglés

N° páginas

324

Encuadernación

Tapa Blanda

ISBN13

9781484235812

Categorías

Tecnología de la información

Practical web Scraping for Data Science: Best Practices and Examples With Python (en Inglés)

Seppe Vanden Broucke (Autor) · Apress · Tapa Blanda

Libro Nuevo

$ 77.740

$ 129.560

Ahorras: $ 51.820

40% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Viernes 17 de Mayo y el Martes 28 de Mayo.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Practical web Scraping for Data Science: Best Practices and Examples With Python (en Inglés)"

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 LearnLeverage 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 scrapingWho This Book is ForA 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.