MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 642 MB
Genre: eLearning | Language: English
Scraping an Online Bookstore Part 1. Build a web crawler using Scrapy to acquire text from an online bookstore in this first topic in the Data Science and Machine Learning Series. Scrapy is an open source web crawling framework written in Python for extracting the data you need from websites. It is built on top of Twisted, an asynchronous networking framework.
Scraping an Online Bookstore Part 2. Continue scraping data from the online bookstore using Scrapy in this second topic in the Data Science and Machine Learning Series. Leverage the Selenium tool for writing automated tests for web applications. Use the web crawler to export the data to json, csv, and other file formats.
Scraping an Online Bookstore Part 3. Export the data obtained using the web crawler we built in the prior two sessions into a MySQL database in this third topic in the Data Science and Machine Learning Series.
https://rapidgator.net/file/5237728811bc3e2a1792e4b2d0251e71/r6i9a.Data.Science.and.Machine.Learning.Series.Advanced.Data.Acquisition.using.Python.Scrapy.Selenium.and.MySQL.rar.html
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