Data Collection and Processing with Python

所在平台: CourseraArchive

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大学或机构: CourseraNew

课程主页: https://www.coursera.org/archive/data-collection-processing-python

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课程大纲

Nested Data and Nested Iteration
Map, Filter, and List Comprehensions
Internet APIs

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课程详情

This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the flickr photo sharing site. The course is well-suited for you if you have already taken the "Python Basics" and "Python Functions, Files, and Dictionaries" courses (courses 1 and 2 of the Python 3 Programming Specialization). If you are already familiar with Python fundamentals but want practice at retrieving and processing complex nested data from Internet services, you can also benefit from this course without taking the previous two. This is the third of five courses in the Python 3 Programming Specialization.

使用Python进行数据收集和处理:本课程教您从Internet上的服务中获取和处理数据。它涵盖了Python列表理解,并提供了练习从深层嵌套数据中提取和处理的机会。您还将学习如何使用Python请求模块与REST API交互以及在这些API的文档中查找什么。对于最终项目,您将为flickr照片共享站点构建一个“标签推荐器”。 如果您已经修过“ Python基础知识”和“ Python函数,文件和字典”课程(Python 3编程专业课程的课程1和2),则该课程非常适合您。如果您已经熟悉Python基础知识,但想要练习从Internet服务检索和处理复杂的嵌套数据,那么您也可以从本课程中受益,而无需学习前两个内容。 这是Python 3 Programming Specialization中的五门课程中的第三门。

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