Acerca de este curso: 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.
Creada por: University of Michigan
Enseñado por: Charles Severance, Associate Professor
School of Information
| Información básica | Curso 3 de 5 en Python for Everybody Specialization |
| Compromiso | 6 weeks of study, 2-4 hours/week |
| Idioma | English |
| Cómo aprobar | Aprueba todas las tareas calificadas para completar el curso. |
| Calificaciones del usuario |
Programa
SEMANA 1
Getting 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 videos, 5 lecturas
- Leyendo: Python Textbook
- Leyendo: Help us learn more about you!
- Vídeo: Welcome to Python - Guido van Rossum
- Leyendo: Welcome to Python 3
- Leyendo: Notes on Choice of Text Editor
- Leyendo: Notice for Auditing Learners: Assignment Submission
- Vídeo: Windows 10: Installing Python and Writing A Program
- Vídeo: Windows: Taking Screen Shots
- Vídeo: Macintosh: Using Python and Writing A Program
- Vídeo: Macintosh: Taking Screen Shots
Calificado: Peer Review: Installing and Running Python Screen Shots
SEMANA 2
Regular 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 videos, 1 lectura
- Vídeo: 11.2 - Extracting Data
- Leyendo: Python Regular Expression Quick Guide
- Vídeo: Bonus: Office Hours - Den Haag
- Vídeo: Bonus Interview: Bjarne Stroustrup - C++
Calificado: Regular Expressions
Calificado: Extracting Data With Regular Expressions
SEMANA 3
Networks 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).
7 videos, 1 lectura
- Vídeo: 12.2 - Hypertext Transfer Protocol (HTTP)
- Vídeo: Worked Example: Sockets (Chapter 12)
- Leyendo: If You Want to Learn More
- Vídeo: Bonus: Leonard Kleinrock - The First Two Packets on the ARPANET
- Vídeo: Bonus Video: Robert Cailliau - co-Inventor of the Web
- Vídeo: Bonus: Office Hours - Atlanta GA (Buckhead)
- Vídeo: Fun: Dr. Chuck @ CNN Reading the News
Calificado: Networks and Sockets
Calificado: Understanding the Request / Response Cycle
SEMANA 4
Programs 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 videos, 1 lectura
- Vídeo: 12.4 - Retrieving Web Pages
- Vídeo: Worked Example: Using Urllib (Chapter 12)
- Vídeo: 12.5 - Parsing Web Pages
- Vídeo: Worked Example: BeautifulSoup (Chapter 12)
- Leyendo: Notes Regarding the Use of BeautifulSoup
- Vídeo: Bonus: Office Hours - Montreal
- Vídeo: Bonus Interview: Tim Berners-Lee - Inventing the Web
- Vídeo: Fun: I Got My Mojo Working - Geneva, Switzerland
Calificado: Reading Web Data From Python
Calificado: Scraping HTML Data with BeautifulSoup
Calificado: Assignment: Following Links in HTML Using BeautifulSoup
SEMANA 5
Web Services and XML (Chapter 13)
In this section, we learn how to retrieve and parse XML (eXtensible Markup Language) data.
8 videos
- Vídeo: 13.2 eXtensible Markup Language (XML)
- Vídeo: 13.3 - XML Schema
- Vídeo: 13.4 - Parsing XML
- Vídeo: Worked Example: XML (Chapter 13)
- Vídeo: Interview: Roy Fielding - Understanding the REST Architecture
- Vídeo: Bonus: Office Hours - Boston
- Vídeo: Bonus Video: Ian Horrocks / RDF / OWL (Advanced)
Calificado: eXtensible Markup Language
Calificado: Extracting Data from XML
SEMANA 6
JSON and the REST Architecture (Chapter 13)
In this module, we work with Application Program Interfaces / Web Services using the JavaScript Object Notation (JSON) data format.
12 videos, 2 lecturas
- Vídeo: Worked Example: JSON (Chapter 13)
- Vídeo: Interview: Douglas Crockford - Discovering JSON
- Vídeo: 13.6 - Service Oriented Approach
- Vídeo: Video: Service Oriented Architectures
- Vídeo: 13.7 - Using Application Programming Interfaces
- Vídeo: Worked Example: GeoJSON API (Chapter 13)
- Vídeo: 13.8 - Securing API Requests
- Vídeo: Worked Example: Twitter API (Chapter 13)
- Vídeo: Bonus: Office Hours - Melbourne, AU
- Vídeo: Bonus: Office Hours - Santa Monica, CA
- Vídeo: Bonus: Class Reunion at Bletchley Park
- Leyendo: Please Rate this Course on Class-Central
- Leyendo: Post-Course Survey
Calificado: REST, JSON, and APIs
Calificado: Extracting Data from JSON
Calificado: Using the GeoJSON API
Preguntas Frecuentes
Cómo funciona
Trabajo del curso
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Ayuda de tus compañeros
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Certificados
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
Creadores
University of 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.
Tarifa
| Comprar curso | |
|---|---|
| Accede a los materiales del curso | Disponible |
| Accede a los materiales con calificación | Disponible |
| Recibe una calificación final | Disponible |
| Obtén un Certificado de curso para compartir | Disponible |
Calificaciones y revisiones
best course for learning python
its good session and explained in very good manner.. Thank you so much.
Good explanations and practical stuff to get data from the web!
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YL
Overall the course is really great. And is really suitable for those green hands who has no previous Web Data knowledge like me. However, the assignment is almost the same with the example which means it's only about copy and paste. But I still learned a lot from this course. Thanks for sharing the knowledge.