When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 6 modules in 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.
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 Python grading environment because the browser-based Python environment (Skulpt) is not capable of running the more complex programs we will be developing in this class.
What's included
6 videos5 readings2 app items
Show info about module content
6 videos•Total 24 minutes
Welcome to The Course•1 minute
Welcome to Python - Guido van Rossum•1 minute
Windows 10: Installing Python and Writing A Program•6 minutes
Windows: Taking Screen Shots•2 minutes
Macintosh: Using Python and Writing A Program•9 minutes
Macintosh: Taking Screen Shots•4 minutes
5 readings•Total 50 minutes
Python Textbook•10 minutes
Help us learn more about you!•10 minutes
Course Syllabus•10 minutes
Notes on Choice of Text Editor•10 minutes
Notice for Auditing Learners: Assignment Submission•10 minutes
2 app items•Total 120 minutes
Peer Review: Installing and Running Python Screen Shots•60 minutes
Check External Tool Grades•60 minutes
Chapter Eleven: Regular Expressions
Module 2•2 hours to complete
Module details
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 quite useful and powerful.
Extracting Data With Regular Expressions•60 minutes
Chapter Twelve: Networks and Sockets
Module 3•3 hours to complete
Module details
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).
What's included
8 videos1 reading1 assignment1 app item
Show info about module content
8 videos•Total 68 minutes
Networked Technology•8 minutes
Hypertext Transfer Protocol (HTTP)•14 minutes
Worked Example: Sockets•6 minutes
Using the Developer Console to Explore HTTP•10 minutes
Bonus: Leonard Kleinrock - The First Two Packets on the ARPANET•13 minutes
Bonus Video: Robert Cailliau - co-Inventor of the Web•10 minutes
Bonus: Office Hours - Atlanta GA (Buckhead)•3 minutes
Fun: Dr. Chuck @ CNN Reading the News•4 minutes
1 reading•Total 10 minutes
If You Want to Learn More•10 minutes
1 assignment•Total 30 minutes
Networks and Sockets•30 minutes
1 app item•Total 60 minutes
Understanding the Request / Response Cycle•60 minutes
Chapter Twelve: Programs that Surf the Web
Module 4•4 hours to complete
Module details
In this section we learn to use Python to retrieve data from web sites and APIs over the Internet.
What's included
8 videos1 reading1 assignment2 app items
Show info about module content
8 videos•Total 58 minutes
Unicode Characters and Strings•17 minutes
Retrieving Web Pages•7 minutes
Worked Example: Using Urllib•4 minutes
Parsing Web Pages•9 minutes
Worked Example: BeautifulSoup•9 minutes
Bonus: Office Hours - Montreal•5 minutes
Bonus Interview: Tim Berners-Lee - Inventing the Web•1 minute
Fun: I Got My Mojo Working - Geneva, Switzerland•6 minutes
1 reading•Total 10 minutes
Notes Regarding the Use of BeautifulSoup•10 minutes
1 assignment•Total 30 minutes
Reading Web Data From Python•30 minutes
2 app items•Total 120 minutes
Scraping HTML Data with BeautifulSoup•60 minutes
Assignment: Following Links in HTML Using BeautifulSoup•60 minutes
Chapter Thirteen: Web Services and XML
Module 5•3 hours to complete
Module details
In this section, we learn how to retrieve and parse XML (eXtensible Markup Language) data.
What's included
8 videos1 assignment1 app item
Show info about module content
8 videos•Total 62 minutes
Data on the Web•5 minutes
eXtensible Markup Language (XML)•9 minutes
XML Schema•11 minutes
Parsing XML•11 minutes
Worked Example: XML•6 minutes
Interview: Roy Fielding - Understanding the REST Architecture•11 minutes
Bonus: Office Hours - Boston•2 minutes
Bonus Video: Ian Horrocks / RDF / OWL (Advanced)•8 minutes
1 assignment•Total 30 minutes
eXtensible Markup Language•30 minutes
1 app item•Total 60 minutes
Extracting Data from XML•60 minutes
Chapter Thirteen: JSON and the REST Architecture
Module 6•4 hours to complete
Module details
In this module, we work with Application Program Interfaces / Web Services using the JavaScript Object Notation (JSON) data format.
What's included
10 videos2 readings1 assignment2 app items
Show info about module content
10 videos•Total 79 minutes
JavaScript Object Notation (JSON)•9 minutes
Worked Example: JSON•6 minutes
Interview: Douglas Crockford - Discovering JSON•7 minutes
Service Oriented Approach•3 minutes
Video: Service Oriented Architectures•5 minutes
Using Application Programming Interfaces•10 minutes
Worked Example: OpenStreetMap API•20 minutes
Bonus: Office Hours - Melbourne, AU•2 minutes
Bonus: Office Hours - Santa Monica, CA•7 minutes
Bonus: Class Reunion at Bletchley Park•10 minutes
2 readings•Total 20 minutes
Please Rate this Course on Class-Central•10 minutes
Post-Course Survey•10 minutes
1 assignment•Total 30 minutes
REST, JSON, and APIs •30 minutes
2 app items•Total 120 minutes
Extracting Data from JSON•60 minutes
Using a Geo Location API•60 minutes
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Learner reviews
4.8
44,547 reviews
5 stars
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4 stars
15.60%
3 stars
2.64%
2 stars
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Showing 3 of 44547
K
KG
5·
Reviewed on Dec 7, 2017
Yet again a great course from Dr.Chuck. Only suggestion I have is the disclaimer that kind of put me off i.e. only Python 2.x support would be given:)We would love to have support for Python 3 too:)
H
HO
4·
Reviewed on Jan 28, 2016
Dr. Chuck is so skilled at teaching. His teaching style and presentations are easy to follow. The class is not as challenging as other Python courses, but it's a great step to learning Python well.
M
MP
4·
Reviewed on Apr 7, 2016
This course is really very useful.The effort given by Dr.Chuck is very appriciateable and this course is very interesting as well because many great programmer told their history of discovered thing.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.