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.
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密歇根大学
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
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Nested Data and Nested Iteration
In week one the video lectures and activities from the Runestone textbook will cover more complex data structures. By the end of this week, you will have learned how to process json formatted data, traverse nested data using nested iteration, and extract values from nested data.
Map, Filter, and List Comprehensions
In week two you will be learning more advanced forms of accumulation. By the end of the week, you will have learned how to use the map and filter functions in combination with functions to transform or filter out data and store the resulting data in a new object. You will have also learned how to accumulate data using a list comprehension.
Internet APIs
In week three you will learn how to request data from the internet using Application Programming Interfaces (APIs). By the end of the week, you will have learned how to access data from a few APIs, cache data that you have requested, and also learned how to read and work with other APIs that were not touched on in the module.
审阅
- 5 stars76.85%
- 4 stars17.56%
- 3 stars4.18%
- 2 stars0.70%
- 1 star0.67%
来自DATA COLLECTION AND PROCESSING WITH PYTHON的热门评论
I thoroughly enjoyed using the Runestone tool to immediately test my knowledge after presenting new concepts, and especially when completing the exercises at the end of each chapter.
Excellent understunding of programming. Advanced concepts such list comprenhension, map and zip make me review my way of thinking, producing better and shorten coding. Thxs to the Instructors.
The class is very basic. Excellent for people without a programming background. Slow for those who do, but you can skip through concepts you already understand. The exercises are very useful.
I thoroughly enjoyed this course, and found myself often looking forward to Prof. Resnick's jokes. I also came to see the beauty and simplicity of Python. Great course. Great language.
关于 Python 3 Programming 专项课程
This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.

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