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.
This course is the third of five courses in the Python 3 Programming Specialization.
Этот курс входит в специализацию ''Специализация Python 3 Programming'
Data Collection and Processing with Python
от партнера
Программа курса: что вы изучите
Неделя
1Nested 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 видео ((всего 127 мин.)), 9 материалов для самостоятельного изучения, 3 тестов
15 видео
How to Use the Interactive Textbook14мин
Introduction - Nested Data1мин
Nested Lists17мин
Nested Dictionaries6мин
JSON Format and the JSON Module7мин
Conclusion - Nested Data1мин
Introduction - Nested Iteration1мин
Nested Iteration19мин
Structuring Nested Data6мин
Shallow Copies7мин
Deep Copies10мин
Extracting from Nested Data13мин
A Worked Example of Nested Iteration6мин
Conclusion - Nested Data1мин
9 материала для самостоятельного изучения
Syllabus10мин
Help Us Learn More About You!10мин
Introduction: Nested Data and Nested Iteration10мин
Nested Dictionaries10мин
Processing JSON Results10мин
Nested Iteration10мин
Structuring Nested Data10мин
Deep and Shallow Copies10мин
Extracting from Nested Data10мин
1 практическое упражнение
Optional - What Did You Use to Practice This Week?4мин
Неделя
2Map, 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 видео ((всего 75 мин.)), 5 материалов для самостоятельного изучения, 3 тестов
13 видео
Map11мин
Filter8мин
Conclusion - Map and Filter2мин
Introduction - List Comprehensions1мин
List Comprehensions9мин
List Comprehensions Example 17мин
List Comprehensions Example 29мин
Conclusion - List Comprehensions1мин
Introduction - Zipмин
Zip7мин
The Hangman Blanked Function13мин
Conclusion - Zip1мин
5 материала для самостоятельного изучения
Introduction: Map, Filter, and List Comprehensions10мин
Map10мин
Filter10мин
List Comprehensions10мин
Zip10мин
1 практическое упражнение
Optional - What Did You Use to Practice This Week?4мин
Неделя
3Internet 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 видео ((всего 118 мин.)), 13 материалов для самостоятельного изучения, 2 тестов
21 видео
URLs, Domain Names, and IP Addresses5мин
Routing3мин
HTTP: Behind the Scenes5мин
URL Query Parameters3мин
REST API URLs3мин
The requests Module5мин
Conclusion - REST APIs2мин
Introduction - Using REST APIs1мин
Generating URLs with requests.get5мин
Reading API Documentation: Datamuse7мин
Debugging Calls to requests.get5мин
Caching Response Content8мин
The requests_with_caching Module8мин
Conclusion - Using REST APIs1мин
Introduction - Practice with REST APIsмин
iTunes API7мин
flickr API15мин
Conclusion - Practice with REST APIs1мин
Fun with the Google Places API19мин
Introduction - Final Course Project2мин
13 материала для самостоятельного изучения
How the Internet Works10мин
Anatomy of URLs10мин
The HTTP Protocol10мин
Using REST APIs10мин
Fetching a Page with the requests Module10мин
Generating URLs with requests.get10мин
Reading API Documentation: Datamuse10мин
Debugging Calls to requests.get10мин
Caching Response Content10мин
Searching for Media on iTunes10мин
Searching for Tags on Flickr10мин
Unicode for Non-English Characters10мин
Course Feedback10мин
Преподавателя
Paul Resnick
Michael D. Cohen Collegiate ProfessorSchool of Information
Jaclyn Cohen
LecturerSchool of Information
О 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.
О специализации ''Python 3 Programming'
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.
Часто задаваемые вопросы
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?
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