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.
Using Python to Access Web Data
Using Python to Access Web Data
This course is part of Python for Everybody Specialization
Instructor: Charles Russell Severance
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4.8
(44,198 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 18 hours
Learn at your own pace
97%
Most learners liked this course
What you'll learn
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
Skills you'll gain
Details to know
Shareable certificate
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Assessments
5 assignments
Taught in English
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This course is part of the Python for Everybody Specialization
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
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
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.
What's included
4 videos1 reading1 assignment1 app item
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
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
In this section, we learn how to retrieve and parse XML (eXtensible Markup Language) data.
What's included
8 videos1 assignment1 app item
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
Instructor
Instructor ratings
4.9 (3,725 ratings)Offered by
Recommended if you're interested in Software Development
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University of Michigan
University of California, Davis
Akamai Technologies, Inc.
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4.8
44,198 reviews
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Showing 3 of 44198
AG
5
Reviewed on Sep 12, 2017
The course teaches the basics of how to interact with the internet using Python. The course is simple, well explained, has great interviews with people who were part of the creation of the internet.
ML
5
Reviewed on Jun 16, 2017
Excellent course with in depth explanations. It is well structured. It learn to access Web Data from very basics to optimum level. It help me to understand details of using Python to Access Web Data.
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.
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