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.
This course is part of the Python 3 Programming Specialization
Data Collection and Processing with Python
4.7
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Syllabus - What you will learn from this course
Week
16 hours to complete
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.
15 videos (Total 127 min), 9 readings, 3 quizzes
15 videos
How to Use the Interactive Textbook14m
Introduction - Nested Data1m
Nested Lists17m
Nested Dictionaries6m
JSON Format and the JSON Module7m
Conclusion - Nested Data1m
Introduction - Nested Iteration1m
Nested Iteration19m
Structuring Nested Data6m
Shallow Copies7m
Deep Copies10m
Extracting from Nested Data13m
A Worked Example of Nested Iteration6m
Conclusion - Nested Data1m
9 readings
Syllabus10m
Help Us Learn More About You!10m
Introduction: Nested Data and Nested Iteration10m
Nested Dictionaries10m
Processing JSON Results10m
Nested Iteration10m
Structuring Nested Data10m
Deep and Shallow Copies10m
Extracting from Nested Data10m
1 practice exercise
Optional - What Did You Use to Practice This Week?4m
Week
24 hours to complete
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.
13 videos (Total 75 min), 5 readings, 3 quizzes
13 videos
Map11m
Filter8m
Conclusion - Map and Filter2m
Introduction - List Comprehensions1m
List Comprehensions9m
List Comprehensions Example 17m
List Comprehensions Example 29m
Conclusion - List Comprehensions1m
Introduction - Zip40s
Zip7m
The Hangman Blanked Function13m
Conclusion - Zip1m
5 readings
Introduction: Map, Filter, and List Comprehensions10m
Map10m
Filter10m
List Comprehensions10m
Zip10m
1 practice exercise
Optional - What Did You Use to Practice This Week?4m
Week
36 hours to complete
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.
21 videos (Total 118 min), 13 readings, 2 quizzes
21 videos
URLs, Domain Names, and IP Addresses5m
Routing3m
HTTP: Behind the Scenes5m
URL Query Parameters3m
REST API URLs3m
The requests Module5m
Conclusion - REST APIs2m
Introduction - Using REST APIs1m
Generating URLs with requests.get5m
Reading API Documentation: Datamuse7m
Debugging Calls to requests.get5m
Caching Response Content8m
The requests_with_caching Module8m
Conclusion - Using REST APIs1m
Introduction - Practice with REST APIs49s
iTunes API7m
flickr API15m
Conclusion - Practice with REST APIs1m
Fun with the Google Places API19m
Introduction - Final Course Project2m
13 readings
How the Internet Works10m
Anatomy of URLs10m
The HTTP Protocol10m
Using REST APIs10m
Fetching a Page with the requests Module10m
Generating URLs with requests.get10m
Reading API Documentation: Datamuse10m
Debugging Calls to requests.get10m
Caching Response Content10m
Searching for Media on iTunes10m
Searching for Tags on Flickr10m
Unicode for Non-English Characters10m
Course Feedback10m
4.7
35 ReviewsTop Reviews
Great course and instructors, ample time and resources to practice, the graded tests are challenging and require good understanding of the course material which I appreciate
Great course, with so many interactive exercises it really help to clear some confusion and make abstract concept easier to understand,
Instructors
Paul Resnick
Michael D. Cohen Collegiate ProfessorSchool of Information
Jaclyn Cohen
LecturerSchool of Information
About University of Michigan
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.
About the Python 3 Programming Specialization
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.
You will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.
By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.
This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.
But it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
More questions? Visit the Learner Help Center.
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