##About the Course Coursera and University of Michigan have offered course Using Python to Access Web Data by professor Charles Severance, Associate Professor (School of Information).
This course will show how one can treat the Internet as a source of data. This course will explains how to scrape, parse, and read web data as well as access data using web APIs. This will work with HTML, XML, and JSON data formats in Python. This course will cover Chapters 11-13 of the textbook “Python for Informatics”.
Reference - https://www.coursera.org/learn/python-network-data
##Contents I have added the PDF notes of Chapter 11-13 of the book Python for Informatics and the scripts written as part of this certification course. The written scripts deal with Web Scraping at a very basic level using BeautifulSoup, UrlLib and Regular Expressions. Additionally I have added some basics of GeoJSON as well.
##Set Up All implementations have been done using JetBrains PyCharm Community Edition 5.0.1
1. Clone the repository to your local machine
2. Open PyCharm IDE, go to File->Open...
3. Navigate to folder containing the project and import
4. Install the required libraries
5. Run the scripts