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.
Este curso forma parte de Programa especializado: Python para todos
ofrecido por
Acerca de este Curso
Qué aprenderás
Use regular expressions to extract data from strings
Understand the protocols web browsers use to retrieve documents and web apps
Retrieve data from websites and APIs using Python
Work with XML (eXtensible Markup Language) data
Habilidades que obtendrás
- Json
- Xml
- Python Programming
- Web Scraping
ofrecido por

Universidad de Míchigan
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.
Programa - Qué aprenderás en este curso
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 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 (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 quite useful and powerful.
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).
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.
Reseñas
- 5 stars80,87 %
- 4 stars15,69 %
- 3 stars2,62 %
- 2 stars0,46 %
- 1 star0,34 %
Aspectos destacados
Principales reseñas sobre USING PYTHON TO ACCESS WEB DATA
Getting a bit more challenging than the earlier courses in the specialization. The exercises require more struggle, but all the information is there. Another step along the way. Thank you, Dr. Chuck!
It is a very good course even for an absolute beginner. Gives knowledge of what APIs, web scraping, different web protocols. Dr. Severence is engaging and very good at explaining hard things easily.
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.
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.
Acerca de Programa especializado: Python para todos
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.

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