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.
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Université du Michigan
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- 5 stars80,88 %
- 4 stars15,69 %
- 3 stars2,61 %
- 2 stars0,45 %
- 1 star0,34 %
Meilleurs avis pour USING PYTHON TO ACCESS WEB DATA
The course is very good. However the course covers only the basics of how to use python to access web data. It would have been good to add an assignment to use REST APIs in the real world scenario.
Great course. The lectures are clear and thorough. The assignments are challenging yet doable. The only thing I would like is to see more assignments to get more practice with the techniques learned.
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.
interesting course. well structured and paced with practical real-life examples and clear study materials. i strongly recommend this course for anyone considering learning python. Thank you Dr. Chuck!
À propos du Spécialisation Le Python pour tous
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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