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.
Ce cours fait partie de la Spécialisation Python 3 Programming
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Spécialisation Python 3 ProgrammingUniversité du MichiganÀ propos de ce cours
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Résultats de carrière des étudiants
12%
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14%
a obtenu une augmentation de salaire ou une promotion
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Cours 3 sur 5 dans le
Dates limites flexibles
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Niveau intermédiaire
Approx. 16 heures pour terminer
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Sous-titres : Arabe, Français, Portugais (européen), Chinois (simplifié), Italien, Vietnamien, Coréen, Allemand, Russe, Turc, Anglais, Espagnol
Résultats de carrière des étudiants
12%
ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
14%
a obtenu une augmentation de salaire ou une promotion
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 3 sur 5 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire
Approx. 16 heures pour terminer
Anglais
Sous-titres : Arabe, Français, Portugais (européen), Chinois (simplifié), Italien, Vietnamien, Coréen, Allemand, Russe, Turc, Anglais, Espagnol
Offert par
Université du 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.
Programme du cours : ce que vous apprendrez dans ce cours
6 heures pour terminer
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.
6 heures pour terminer
15 vidéos (Total 127 min), 9 lectures, 3 quiz
15 vidéos
How to Use the Interactive Textbook14 min
Introduction - Nested Data1 min
Nested Lists17 min
Nested Dictionaries6 min
JSON Format and the JSON Module7 min
Conclusion - Nested Data1 min
Introduction - Nested Iteration1 min
Nested Iteration19 min
Structuring Nested Data6 min
Shallow Copies7 min
Deep Copies10 min
Extracting from Nested Data13 min
A Worked Example of Nested Iteration6 min
Conclusion - Nested Iteration1 min
9 lectures
Syllabus10 min
Help Us Learn More About You!10 min
Introduction: Nested Data and Nested Iteration10 min
Nested Dictionaries10 min
Processing JSON Results10 min
Nested Iteration10 min
Structuring Nested Data10 min
Deep and Shallow Copies10 min
Extracting from Nested Data10 min
1 exercice pour s'entraîner
Optional - What Did You Use to Practice This Week?4 min
4 heures pour terminer
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.
4 heures pour terminer
13 vidéos (Total 75 min), 5 lectures, 3 quiz
13 vidéos
Map11 min
Filter8 min
Conclusion - Map and Filter2 min
Introduction - List Comprehensions1 min
List Comprehensions9 min
List Comprehensions Example 17 min
List Comprehensions Example 29 min
Conclusion - List Comprehensions1 min
Introduction - Zip40s
Zip7 min
The Hangman Blanked Function13 min
Conclusion - Zip1 min
5 lectures
Introduction: Map, Filter, List Comprehensions, and Zip10 min
Map10 min
Filter10 min
List Comprehensions10 min
Zip10 min
1 exercice pour s'entraîner
Optional - What Did You Use to Practice This Week?4 min
6 heures pour terminer
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.
6 heures pour terminer
21 vidéos (Total 118 min), 14 lectures, 2 quiz
21 vidéos
URLs, Domain Names, and IP Addresses5 min
Routing3 min
HTTP: Behind the Scenes5 min
URL Query Parameters3 min
REST API URLs3 min
The requests Module5 min
Conclusion - REST APIs2 min
Introduction - Using REST APIs1 min
Generating URLs with requests.get5 min
Reading API Documentation: Datamuse7 min
Debugging Calls to requests.get5 min
Caching Response Content8 min
The requests_with_caching Module8 min
Conclusion - Using REST APIs1 min
Introduction - Practice with REST APIs49s
iTunes API7 min
flickr API15 min
Conclusion - Practice with REST APIs1 min
Fun with the Google Places API19 min
Introduction - Final Course Project2 min
14 lectures
The Internet: Behind the Scenes10 min
Anatomy of URLs10 min
The HTTP Protocol10 min
Using REST APIs10 min
Fetching a Page10 min
Generating URLs with requests.get10 min
Figuring Out How to Use a REST API10 min
Debugging Calls to requests.get10 min
Caching Response Content10 min
Searching for Media on iTunes10 min
Searching for tags on Flickr10 min
Unicode for Non-English Characters10 min
Course Feedback10 min
Keep Learning with Michigan Online10 min
Avis
Meilleurs avis pour DATA COLLECTION AND PROCESSING WITH PYTHON
par CM9 oct. 2019
This was a really excellent course. The functional project at the end helped me understand how recommendation systems work and now I'm very excited to try to build a similar system for books I love.
par EW23 avr. 2020
Very good course until the final project. There are a lot of bugs that caused me and what seems like a lot of other students to have to spend a great deal of time on it. This time wasn't productive.
par A9 juil. 2020
Very interesting and fine course, in this course I learn how to solve Nested data and new a new thing i.e REST API which seems best in course 3 now I am excited about course 4. Thanking you Michigan
par SS27 août 2019
Excellent course which teaches how to process request, extract and process Internet data in a simple and step by step approach. I have gained invaluable skills how to handle large data with Python
À propos du Spécialisation 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.
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