國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Practical web scraping for data scie...

Baesens, Bart.

Practical web scraping for data sciencebest practices and examples with Python /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Practical web scraping for data scienceby Seppe vanden Broucke, Bart Baesens.
其他題名:	best practices and examples with Python /
作者:	Broucke, Seppe vanden.
其他作者:	Baesens, Bart.
出版者:	Berkeley, CA :Apress :2018.
面頁冊數:	xvi, 306 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Python (Computer program language)
電子資源:	http://dx.doi.org/10.1007/978-1-4842-3582-9
ISBN:	9781484235829$q(electronic bk.)

Practical web scraping for data sciencebest practices and examples with Python /
Broucke, Seppe vanden.

Practical web scraping for data sciencebest practices and examples with Python /[electronic resource] :by Seppe vanden Broucke, Bart Baesens. - Berkeley, CA :Apress :2018. - xvi, 306 p. :ill., digital ;24 cm.

Part I: Web Scraping Basics -- 1. Introduction -- 2. The Web Speaks HTTP -- 3. Stirring the HTML and CSS Soup -- Part II: Advanced Web Scraping -- 4. Delving Deeper in HTTP -- 5. Dealing with JavaScript -- 6. From Web Scraping to Web Crawling -- Part III: Managerial Concerns and Best Practices -- 7. Managerial and Legal Concerns -- 8. Closing Topics -- 9. Examples.

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 requests and Beautiful Soup, 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.

ISBN: 9781484235829$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-3582-9doiSubjects--Topical Terms:

215247
Python (Computer program language)

LC Class. No.: QA76.55

Dewey Class. No.: 005.133

Practical web scraping for data sciencebest practices and examples with Python /
LDR:02273nmm a2200289 a 4500 001 538009
003 DE-He213
005 20180418130947.0
006 m d
007 cr nn 008maaau
008 190116s2018 cau s 0 eng d
020 $a 9781484235829$q(electronic bk.)
020 $a 9781484235812$q(paper)
024 7 $a 10.1007/978-1-4842-3582-9 $2 doi
035 $a 978-1-4842-3582-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.55
082 0 4 $a 005.133 $2 23
090 $a QA76.55 $b .B875 2018
100 1 $a Broucke, Seppe vanden. $3 815278
245 1 0 $a Practical web scraping for data science $h [electronic resource] : $b best practices and examples with Python / $c by Seppe vanden Broucke, Bart Baesens.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2018.
300 $a xvi, 306 p. : $b ill., digital ; $c 24 cm.
505 0 $a Part I: Web Scraping Basics -- 1. Introduction -- 2. The Web Speaks HTTP -- 3. Stirring the HTML and CSS Soup -- Part II: Advanced Web Scraping -- 4. Delving Deeper in HTTP -- 5. Dealing with JavaScript -- 6. From Web Scraping to Web Crawling -- Part III: Managerial Concerns and Best Practices -- 7. Managerial and Legal Concerns -- 8. Closing Topics -- 9. Examples.
520 $a 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 requests and Beautiful Soup, 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.
650 0 $a Python (Computer program language) $3 215247
650 0 $a Data mining. $3 184440
650 0 $a Automatic data collection systems. $3 224371
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Python. $3 763308
650 2 4 $a Database Management. $3 273994
650 2 4 $a Big Data/Analytics. $3 742047
700 1 $a Baesens, Bart. $3 381106
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-3582-9
950 $a Professional and Applied Computing (Springer-12059)