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.
Este curso faz parte do Programa de cursos integrados Python 3 Programming
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Programa de cursos integrados Python 3 ProgrammingUniversidade de MichiganInformações sobre o curso
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Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 3 de 5 no
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário
Aprox. 16 horas para completar
Inglês
Legendas: Inglês, Coreano
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 3 de 5 no
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário
Aprox. 16 horas para completar
Inglês
Legendas: Inglês, Coreano
oferecido por
Universidade de 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.
Programa - O que você aprenderá com este curso
6 horas para concluir
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 horas para concluir
15 vídeos (Total 127 mín.), 9 leituras, 3 testes
15 videos
How to Use the Interactive Textbook14min
Introduction - Nested Data1min
Nested Lists17min
Nested Dictionaries6min
JSON Format and the JSON Module7min
Conclusion - Nested Data1min
Introduction - Nested Iteration1min
Nested Iteration19min
Structuring Nested Data6min
Shallow Copies7min
Deep Copies10min
Extracting from Nested Data13min
A Worked Example of Nested Iteration6min
Conclusion - Nested Iteration1min
9 leituras
Syllabus10min
Help Us Learn More About You!10min
Introduction: Nested Data and Nested Iteration10min
Nested Dictionaries10min
Processing JSON Results10min
Nested Iteration10min
Structuring Nested Data10min
Deep and Shallow Copies10min
Extracting from Nested Data10min
1 exercício prático
Optional - What Did You Use to Practice This Week?4min
4 horas para concluir
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 horas para concluir
13 vídeos (Total 75 mín.), 5 leituras, 3 testes
13 videos
Map11min
Filter8min
Conclusion - Map and Filter2min
Introduction - List Comprehensions1min
List Comprehensions9min
List Comprehensions Example 17min
List Comprehensions Example 29min
Conclusion - List Comprehensions1min
Introduction - Zip40s
Zip7min
The Hangman Blanked Function13min
Conclusion - Zip1min
5 leituras
Introduction: Map, Filter, List Comprehensions, and Zip10min
Map10min
Filter10min
List Comprehensions10min
Zip10min
1 exercício prático
Optional - What Did You Use to Practice This Week?4min
6 horas para concluir
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 horas para concluir
21 vídeos (Total 118 mín.), 13 leituras, 2 testes
21 videos
URLs, Domain Names, and IP Addresses5min
Routing3min
HTTP: Behind the Scenes5min
URL Query Parameters3min
REST API URLs3min
The requests Module5min
Conclusion - REST APIs2min
Introduction - Using REST APIs1min
Generating URLs with requests.get5min
Reading API Documentation: Datamuse7min
Debugging Calls to requests.get5min
Caching Response Content8min
The requests_with_caching Module8min
Conclusion - Using REST APIs1min
Introduction - Practice with REST APIs49s
iTunes API7min
flickr API15min
Conclusion - Practice with REST APIs1min
Fun with the Google Places API19min
Introduction - Final Course Project2min
13 leituras
The Internet: Behind the Scenes10min
Anatomy of URLs10min
The HTTP Protocol10min
Using REST APIs10min
Fetching a Page10min
Generating URLs with requests.get10min
Figuring Out How to Use a REST API10min
Debugging Calls to requests.get10min
Caching Response Content10min
Searching for Media on iTunes10min
Searching for tags on Flickr10min
Unicode for Non-English Characters10min
Course Feedback10min
Avaliações
Principais avaliações do DATA COLLECTION AND PROCESSING WITH PYTHON
por CM9 de Out de 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.
por EW23 de Abr de 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.
por SS27 de Ago de 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
por JA10 de Fev de 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. Thxs to the Instructors.
Sobre Programa de cursos integrados 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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