This is part 4 of an introductory web scraping tutorial. In this video, we'll use Python's pandas library to apply a tabular data structure to our scraped dataset and then export it to a CSV file. I'll end the video with advice and resources for getting better at web scraping.

Watch the 4-video series: https://www.youtube.com/playlist?list=PL5-da3qGB5IDbOi0g5WFh1YPDNzXw4LNL

== RESOURCES ==
Download the Jupyter notebook: https://github.com/justmarkham/trump-lies
New York Times article: https://www.nytimes.com/interactive/2017/06/23/opinion/trumps-lies.html
Beautiful Soup documentation: https://www.crummy.com/software/BeautifulSoup/bs4/doc/
pandas installation: http://pandas.pydata.org/pandas-docs/stable/install.html

== DATA SCHOOL VIDEOS ==
Machine learning with scikit-learn: https://www.youtube.com/watch?v=elojMnjn4kk&list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A&index=1
Data analysis with pandas: https://www.youtube.com/watch?v=yzIMircGU5I&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=1
Version control with Git: https://www.youtube.com/watch?v=xKVlZ3wFVKA&list=PL5-da3qGB5IBLMp7LtN8Nc3Efd4hJq0kD&index=1

== SUBSCRIBE FOR MORE VIDEOS ==
https://www.youtube.com/user/dataschool?sub_confirmation=1

== JOIN THE DATA SCHOOL COMMUNITY ==
Newsletter: http://www.dataschool.io/subscribe/
Twitter: https://twitter.com/justmarkham
Facebook: https://www.facebook.com/DataScienceSchool/
Patreon: https://www.patreon.com/dataschool