About this course: This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This course will cover Chapters 11-13 of the textbook “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization. These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files. This course covers Python 3.

Created by: University of Michigan

Taught by: Charles Severance, Associate Professor
School of Information

Basic Info	Course 3 of 5 in the Python for Everybody Specialization.
Commitment	6 weeks of study, 2-4 hours/week
Language	English
How To Pass	Pass all graded assignments to complete the course.
User Ratings	4.8 stars Average User Rating 4.8See what learners said

Syllabus

WEEK 1

Getting Started

In this section you will install Python and a text editor. In previous classes in the specialization this was an optional assignment, but in this class it is the first requirement to get started. From this point forward we will stop using the browser-based P...

6 videos, 4 readings

Graded: Peer Review: Installing and Running Python Screen Shots

WEEK 2

Regular Expressions (Chapter 11)

Regular expressions are a very specialized language that allow us to succinctly search strings and extract data from strings. Regular expressions are a language unto themselves. It is not essential to know how to use regular expressions, but they can be qui...

4 videos, 1 reading

Graded: Regular Expressions

Graded: Extracting Data With Regular Expressions

WEEK 3

Networks and Sockets (Chapter 12)

In this section we learn about the protocols that web browsers use to retrieve documents and web applications use to interact with Application Program Interfaces (APIs).

7 videos, 1 reading

Graded: Networks and Sockets

Graded: Understanding the Request / Response Cycle

WEEK 4

Programs that Surf the Web (Chapter 12)

In this section we learn to use Python to retrieve data from web sites and APIs over the Internet.

8 videos, 1 reading

Graded: Reading Web Data From Python

Graded: Scraping HTML Data with BeautifulSoup

Graded: Assignment: Following Links in HTML Using BeautifulSoup

WEEK 5

Web Services and XML (Chapter 13)

In this section, we learn how to retrieve and parse XML (eXtensible Markup Language) data.

8 videos

Graded: eXtensible Markup Language

Graded: Extracting Data from XML

WEEK 6

JSON and the REST Architecture (Chapter 13)

In this module, we work with Application Program Interfaces / Web Services using the JavaScript Object Notation (JSON) data format.

12 videos, 2 readings

Graded: REST, JSON, and APIs

Graded: Extracting Data from JSON

Graded: Using the GeoJSON API

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Coursework

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University of Michigan

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.

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