This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This course will cover Chapters 11-13 of the textbook “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization. These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files. This course covers Python 3.
Este curso faz parte do Programa de cursos integrados Python para todosPython para todos
Usando o Python para acessar dados na web
oferecido por
Informações sobre o curso
4.8
17,663 classificações
O que você vai aprender
Retrieve data from websites and APIs using Python
Understand the protocols web browsers use to retrieve documents and web apps
Use regular expressions to extract data from strings
Work with XML (eXtensible Markup Language) data
Habilidades que você terá
JsonXmlPython ProgrammingWeb Scraping
Programa - O que você aprenderá com este curso
Semana
1Getting Started
In this section you will install Python and a text editor. In previous classes in the specialization this was an optional assignment, but in this class it is the first requirement to get started. From this point forward we will stop using the browser-based Python grading environment because the browser-based Python environment (Skulpt) is not capable of running the more complex programs we will be developing in this class.
6 vídeos (total de (Total 21 mín.) min), 5 leituras, 1 teste
6 videos
Welcome to Python - Guido van Rossum1min
Windows 10: Installing Python and Writing A Program8min
Windows: Taking Screen Shots2min
Macintosh: Using Python and Writing A Program4min
Macintosh: Taking Screen Shots4min
5 leituras
Python Textbook10min
Help us learn more about you!10min
Welcome to Python 310min
Notes on Choice of Text Editor10min
Notice for Auditing Learners: Assignment Submission10min
Semana
2Regular Expressions (Chapter 11)
Regular expressions are a very specialized language that allow us to succinctly search strings and extract data from strings. Regular expressions are a language unto themselves. It is not essential to know how to use regular expressions, but they can be quite useful and powerful.
4 vídeos (total de (Total 44 mín.) min), 1 leitura, 2 testes
4 videos
11.2 - Extracting Data15min
Bonus: Office Hours - Den Haag2min
Bonus Interview: Bjarne Stroustrup - C++15min
1 leituras
Python Regular Expression Quick Guide10min
1 exercício prático
Regular Expressions20min
Semana
3Networks and Sockets (Chapter 12)
In this section we learn about the protocols that web browsers use to retrieve documents and web applications use to interact with Application Program Interfaces (APIs).
8 vídeos (total de (Total 68 mín.) min), 1 leitura, 2 testes
8 videos
12.2 - Hypertext Transfer Protocol (HTTP)14min
Worked Example: Sockets (Chapter 12)6min
Using the Developer Console to Explore HTTP10min
Bonus: Leonard Kleinrock - The First Two Packets on the ARPANET13min
Bonus Video: Robert Cailliau - co-Inventor of the Web9min
Bonus: Office Hours - Atlanta GA (Buckhead)3min
Fun: Dr. Chuck @ CNN Reading the News4min
1 leituras
If You Want to Learn More10min
1 exercício prático
Networks and Sockets20min
Semana
4Programs that Surf the Web (Chapter 12)
In this section we learn to use Python to retrieve data from web sites and APIs over the Internet.
8 vídeos (total de (Total 58 mín.) min), 1 leitura, 3 testes
8 videos
12.4 - Retrieving Web Pages6min
Worked Example: Using Urllib (Chapter 12)3min
12.5 - Parsing Web Pages9min
Worked Example: BeautifulSoup (Chapter 12)9min
Bonus: Office Hours - Montreal4min
Bonus Interview: Tim Berners-Lee - Inventing the Web1min
Fun: I Got My Mojo Working - Geneva, Switzerland5min
1 leituras
Notes Regarding the Use of BeautifulSoup10min
1 exercício prático
Reading Web Data From Python26min
31%
comecei uma nova carreira após concluir estes cursos
31%
consegui um benefício significativo de carreira com este curso
16%
recebi um aumento ou promoção
Melhores avaliações
Destaques
Practical assignments
(217)High quality content
(256)por JM•Dec 3rd 2016
I have not found an easy way to learn how to code with python language. Mentor are really helpful and Dr Chuck is one of the most self explain professor that I have met in my three university career.
por AG•Sep 13th 2017
The course teaches the basics of how to interact with the internet using Python. The course is simple, well explained, has great interviews with people who were part of the creation of the internet.
Instrutores
Charles Severance
ProfessorSchool 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 para todosPython para todos
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
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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