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
Data Collection and Processing with Python
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À propos de ce cours
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Niveau intermédiaire
Approx. 16 heures pour terminer
Recommandé : 17 hours/week
Anglais
Sous-titres : Anglais, Coréen
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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 Data1 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), 13 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
13 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
Avis
4.7
Meilleurs avis pour DATA COLLECTION AND PROCESSING WITH PYTHON
par CMOct 9, 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 SSAug 27, 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
par JAFeb 10, 2020
Excellent understunding of programming. Advanced concepts such list comprenhension, map and zip make me review my way of thinking, producing better and shorten coding.\n\nThxs to the Instructors.
par SSAug 21, 2019
Awesome content and guidance with top of the line applications for application of knowledge acquired throughout the course. It covers the basics and then implements higher order topics over them.
par DLOct 13, 2019
This course provides a good intro to working with data and internet apis in the json format using python. Definitely feel confident in digging deeper with APIs on my own after taking this class.
par ARJan 24, 2020
Excellent coursework and exercises to learn, especially for beginners -\n\nReally liked the presentation and constant support - seems like they know how people think while learning python :)
par HJJan 25, 2020
Another solid course in python programming specialization. After taking this course, you will be able to call data from API and manipulate nasty and unorganized set of dictionary and lists.
par OHFeb 13, 2020
Once more very useful lessons. Be careful on the final project though, it is more prone to errors (even ones you might not be responsible for) than anything else up to this point.
par JSMay 20, 2019
Having 0 experience with .json files or API's I was nervous at the beginning, however, the course puts everything in perspective and gives great examples to grasp the concepts.
par HAFeb 20, 2019
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
par TBJul 28, 2019
This course was challenging and I like how the book guides you step by step. The daily review questions that the text book provides helps you remember what you have learned.
par SMJul 31, 2019
I personally felt the course project was interesting and a little bit challenging too. And also thank you Professors for helping me understand the concepts very well.
par VLSep 19, 2019
There's a steep jump in difficulty on the last course work. The most difficult part being there's less of the codelens to help with debugging and decoding the error.
par RSDec 20, 2019
Excellent final project which helps you recall all the concepts. BeautifulSoup and Urllib should have been covered here as well then it would have been complete.
par APJan 4, 2020
This is an excellent basic course on data collection and processing. I strongly recommend this course to anyone who is interested in developing skill in Python.
par MAJan 17, 2020
This was a great course. In which I learned how to extract and process Internet API's data by easy approach. I plan to make online dictionary system.
par JUAug 2, 2019
more work required on presentation of the material and practice sessions to better establish the foundation principles and methods of API tools.
par JMNov 24, 2019
I am happy to be student in this course.\n\nThis course is for me harder because i had flu.\n\nSo i skipped one Question in daily questions.
par YLJun 25, 2019
This particular course is very challenging. I found there were some issue with the assessment grading. Despite all this, is a good course.
par MSJul 31, 2019
A truly excellent course for learning APIs. Here we learned how to access real websites and process the data received. Highly practical.
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.
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.
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