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 Informatics”. 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 |
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, 3 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, 1 reading
Graded: REST, JSON, and APIs
Graded: Extracting Data from JSON
Graded: Using the GeoJSON API
FAQs
How It Works
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
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Creators
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.
Pricing
| Audit | Purchase Course | |
|---|---|---|
| Access to course materials | Available | Available |
| Access to graded materials | Not available | Available |
| Receive a final grade | Not available | Available |
| Earn a shareable Course Certificate | Not available | Available |
Ratings and Reviews
nice work
Very informative course, no unnecessary
Some information about json and how its dictionaries and list could be better explained
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Great way to learn Python, 3/5 done in specialization!