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.
Este curso faz parte do Programa de cursos integrados Python 3 Programming
Data Collection and Processing with Python
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Programa - O que você aprenderá com este curso
Semana
16 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.
15 vídeos (total de (Total 127 mín.) min), 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 Data1min
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
Semana
24 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.
13 vídeos (total de (Total 75 mín.) min), 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, and List Comprehensions10min
Map10min
Filter10min
List Comprehensions10min
Zip10min
1 exercício prático
Optional - What Did You Use to Practice This Week?4min
Semana
36 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.
21 vídeos (total de (Total 118 mín.) min), 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
How the Internet Works10min
Anatomy of URLs10min
The HTTP Protocol10min
Using REST APIs10min
Fetching a Page with the requests Module10min
Generating URLs with requests.get10min
Reading API Documentation: Datamuse10min
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
Melhores avaliações
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,
Instrutores
Paul Resnick
Michael D. Cohen Collegiate ProfessorSchool of Information
Jaclyn Cohen
LecturerSchool of Information
Sobre 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.
Sobre o 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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
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