Using Python to Access Web Data

开始时间: 08/08/2020 持续时间: Unknown

所在平台: Coursera

课程类别: 计算机科学

大学或机构: CourseraNew



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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.

使用Python访问Web数据:本课程将展示如何将Internet视为数据源。我们将抓取,解析和读取Web数据以及使用Web API访问数据。我们将使用Python处理HTML,XML和JSON数据格式。本课程将涵盖教科书“ Python for Everyone”的第11-13章。为了成功完成本课程,您应该熟悉教科书第1-10章以及本专业的前两门课程中介绍的内容。这些主题包括变量和表达式,条件执行(循环,分支和try / except),函数,Python数据结构(字符串,列表,字典和元组)以及操作文件。本课程涵盖Python 3。


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.



This course will show how one can treat the Internet as a source of data.


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