پکیج پایتون برای همه ، دوره 3 : Using Python to Access Web Data
درباره‌ی این دوره:
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.
این شامل 6 زیر است:
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.
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.
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).
- درس 12.1 - Networked Technology
- درس 12.2 - Hypertext Transfer Protocol (HTTP)
- درس Worked Example- Sockets (Chapter 12)
- درس Bonus- Leonard Kleinrock - The First Two Packets on the ARPANET
- درس Bonus Video- Robert Cailliau - co-Inventor of the Web
- درس Bonus- Office Hours - Atlanta GA (Buckhead)
- درس Fun- Dr. Chuck @ CNN Reading the News
In this section we learn to use Python to retrieve data from web sites and APIs over the Internet.
- درس 12.3 - Unicode Characters and Strings
- درس 12.4 - Retrieving Web Pages
- درس Worked Example- Using Urllib (Chapter 12)
- درس 12.5 - Parsing Web Pages
- درس Worked Example- BeautifulSoup (Chapter 12)
- درس Bonus- Office Hours - Montreal
- درس Bonus Interview- Tim Berners-Lee - Inventing the Web
- درس Fun- I Got My Mojo Working - Geneva, Switzerland
In this section, we learn how to retrieve and parse XML (eXtensible Markup Language) data.
- درس 13.1 - Data on the Web
- درس 13.2 eXtensible Markup Language (XML)
- درس 13.3 - XML Schema
- درس 13.4 - Parsing XML
- درس Worked Example- XML (Chapter 13)
- درس Interview- Roy Fielding - Understanding the REST Architecture
- درس Bonus- Office Hours - Boston
- درس Bonus Video- Ian Horrocks / RDF / OWL (Advanced)
In this module, we work with Application Program Interfaces / Web Services using the JavaScript Object Notation (JSON) data format.
- درس 13.5 - JavaScript Object Notation (JSON)
- درس Worked Example- JSON (Chapter 13)
- درس Interview- Douglas Crockford - Discovering JSON
- درس 13.6 - Service Oriented Approach
- درس Video- Service Oriented Architectures
- درس 13.7 - Using Application Programming Interfaces
- درس Worked Example- GeoJSON API (Chapter 13)
- درس 13.8 - Securing API Requests
- درس Worked Example- Twitter API (Chapter 13)
- درس Bonus- Office Hours - Melbourne, AU
- درس Bonus- Office Hours - Santa Monica, CA
- درس Bonus- Class Reunion at Bletchley Park
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