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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- 5 stars80.88%
- 4 stars15.69%
- 3 stars2.62%
- 2 stars0.45%
- 1 star0.34%
USING PYTHON TO ACCESS WEB DATA의 최상위 리뷰
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.
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.
This course is great to introduce you to regular expression, HTML, XML and JSON. Based on this course, you may dive into many other materials to further learning how to use python to access web data.
This course was really interesting and did a good job introducing complicated topics in usefully simplified form. It was a pleasure to listen to the instructor and I got everything I wanted out of it.
모두를 위한 Python 특화 과정 정보
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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