Web Scraping: Python Data Playbook

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Ian Ozsvald

1:17:05

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01.Course Overview

0101.Course Overview.mp4

01:49

02.Setting Up BeautifulSoup

0201.General Strategies for Scraping Web Pages.mp4

02:27

0202.Reviewing Our Target Auto-MPG Web Page.mp4

05:12

0203.The Complicated Difference between Dynamic and Static Web Pages.mp4

03:21

03.Understanding Your Scraped Data

0301.A Primer on HTML and CSS.mp4

04:08

0302.Understanding the HTML, CSS and Structure of Our Target Page.mp4

04:18

0303.Coming up with a Strategy for a More Complicated Web Page.mp4

02:33

0304.Using BeautifulSoup4 to Navigate Our Scraped Data.mp4

04:33

0305.Extracting Information from a Scraped Division.mp4

03:28

0306.Using Selectors as an Alternative to the Find Method.mp4

02:43

0307.Advice and Strategy for Scraping.mp4

01:39

0308.Building the Scraper Module Using PyCharm.mp4

04:57

0309.Dealing with Missing Data during the Scrape.mp4

02:23

0310.Refactoring Our Code and Caching Our Scraped Data.mp4

02:20

0311.Adding a Test to Verify Our Regular Expression Processing.mp4

05:44

04.Making Scraped Data Usable

0401.Exporting Scraped Data to a CSV File .mp4

02:21

0402.Getting a Data Overview with Pandas.mp4

03:07

0403.Exploratory Data Analysis Strategy.mp4

04:20

0404.Reviewing Our Hypothesis.mp4

03:42

0405.Investigating Relationships between MPG and Weight.mp4

03:28

0406.Understanding How Cylinders and Displacement Are Related.mp4

01:42

0407.Looking at MPG over the Years.mp4

01:51

0408.Understanding Brands and Territories with Text Processing.mp4

01:50

0409.Telling a Data Story to Explain Our Discoveries.mp4

03:09

Description

Learn how to tell a compelling graphical data story in a Jupyter Notebook with Seaborn having scraped information from a static web page with BeautifulSoup4 when no API is available.

What You'll Learn?

Scrape data from a static web page with BeautifulSoup4 and turn it into a compelling graphical data story in a Jupyter Notebook. In this course, Web Scraping: The Python Data Playbook, you will gain the ability to scrape data and present it graphically. First, you will learn to scrape using the requests module and BeautifulSoup4. Next, you will discover how to write a trustworthy scraping module backed by a unit test. Finally, you will explore how to turn the columns of data in a graphical story that will change the opinions of your colleagues. When you're finished with this course, you will have the skills and knowledge of web scraping needed to create a graphically compelling Jupyter Notebook without the use of an API.

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Python

Web Scraping

Ian Ozsvald

Instructor's Courses

Ian is an Interim Chief Data Scientist and Coach, he co-organises the annual PyDataLondon conference with 700+ attendees and the associated 9,500+ member monthly meetup. With 16 years experience he runs Mor Consulting in London, speaks internationally often as keynote speaker and is the author of the bestselling O'Reilly book High Performance Python. For fun he's walked by his high-energy Springer Spaniel, surfs the Cornish coast and drinks fine coffee.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.