關於此課程：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.
製作方： University of Michigan
教學方： Charles Severance, Associate Professor
School of Information
| 基本信息 | 課程 3（共 5 門，零基础 Python 入门 Specialization ） |
| 承諾學習時間 | 6 weeks of study, 2-4 hours/week |
| 語言 | English |
| 如何通過 | 通過所有計分作業以完成課程。 |
| 用戶評分 |
授課大綱
第 1 週
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 個視頻, 5 個閱讀材料
- Материал для самостоятельного изучения: Python Textbook
- Материал для самостоятельного изучения: Help us learn more about you!
- 視頻: Welcome to Python - Guido van Rossum
- Материал для самостоятельного изучения: Welcome to Python 3
- Материал для самостоятельного изучения: Notes on Choice of Text Editor
- Материал для самостоятельного изучения: Notice for Auditing Learners: Assignment Submission
- 視頻: Windows 10: Installing Python and Writing A Program
- 視頻: Windows: Taking Screen Shots
- 視頻: Macintosh: Using Python and Writing A Program
- 視頻: Macintosh: Taking Screen Shots
已評分: Peer Review: Installing and Running Python Screen Shots
第 2 週
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 個視頻, 1 個閱讀材料
- 視頻: 11.2 - Extracting Data
- Материал для самостоятельного изучения: Python Regular Expression Quick Guide
- 視頻: Bonus: Office Hours - Den Haag
- 視頻: Bonus Interview: Bjarne Stroustrup - C++
已評分: Regular Expressions
已評分: Extracting Data With Regular Expressions
第 3 週
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 個視頻, 1 個閱讀材料
- 視頻: 12.2 - Hypertext Transfer Protocol (HTTP)
- 視頻: Worked Example: Sockets (Chapter 12)
- Материал для самостоятельного изучения: If You Want to Learn More
- 視頻: Bonus: Leonard Kleinrock - The First Two Packets on the ARPANET
- 視頻: Bonus Video: Robert Cailliau - co-Inventor of the Web
- 視頻: Bonus: Office Hours - Atlanta GA (Buckhead)
- 視頻: Fun: Dr. Chuck @ CNN Reading the News
已評分: Networks and Sockets
已評分: Understanding the Request / Response Cycle
第 4 週
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 個視頻, 1 個閱讀材料
- 視頻: 12.4 - Retrieving Web Pages
- 視頻: Worked Example: Using Urllib (Chapter 12)
- 視頻: 12.5 - Parsing Web Pages
- 視頻: Worked Example: BeautifulSoup (Chapter 12)
- Материал для самостоятельного изучения: Notes Regarding the Use of BeautifulSoup
- 視頻: Bonus: Office Hours - Montreal
- 視頻: Bonus Interview: Tim Berners-Lee - Inventing the Web
- 視頻: Fun: I Got My Mojo Working - Geneva, Switzerland
已評分: Reading Web Data From Python
已評分: Scraping HTML Data with BeautifulSoup
已評分: Assignment: Following Links in HTML Using BeautifulSoup
第 5 週
Web Services and XML (Chapter 13)
In this section, we learn how to retrieve and parse XML (eXtensible Markup Language) data.
8 個視頻
- 視頻: 13.2 eXtensible Markup Language (XML)
- 視頻: 13.3 - XML Schema
- 視頻: 13.4 - Parsing XML
- 視頻: Worked Example: XML (Chapter 13)
- 視頻: Interview: Roy Fielding - Understanding the REST Architecture
- 視頻: Bonus: Office Hours - Boston
- 視頻: Bonus Video: Ian Horrocks / RDF / OWL (Advanced)
已評分: eXtensible Markup Language
已評分: Extracting Data from XML
第 6 週
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 個視頻, 2 個閱讀材料
- 視頻: Worked Example: JSON (Chapter 13)
- 視頻: Interview: Douglas Crockford - Discovering JSON
- 視頻: 13.6 - Service Oriented Approach
- 視頻: Video: Service Oriented Architectures
- 視頻: 13.7 - Using Application Programming Interfaces
- 視頻: Worked Example: GeoJSON API (Chapter 13)
- 視頻: 13.8 - Securing API Requests
- 視頻: Worked Example: Twitter API (Chapter 13)
- 視頻: Bonus: Office Hours - Melbourne, AU
- 視頻: Bonus: Office Hours - Santa Monica, CA
- 視頻: Bonus: Class Reunion at Bletchley Park
- Материал для самостоятельного изучения: Please Rate this Course on Class-Central
- Материал для самостоятельного изучения: Post-Course Survey
已評分: REST, JSON, and APIs
已評分: Extracting Data from JSON
已評分: Using the GeoJSON API
常見問題解答
運作方式
Задания курса
Каждый курс — это интерактивный учебник, который содержит видеоматериалы, тесты и проекты.
Помощь сокурсников
Общайтесь с тысячами других учащихся: обсуждайте идеи, материалы курса и помогайте друг другу осваивать новые понятия.
Сертификаты
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製作方
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.
價格
| 購買課程 | |
|---|---|
| 訪問課程材料 | 可用 |
| 訪問評分的材料 | 可用 |
| 收到最終成績 | 可用 |
| 獲得可共享的課程證書 | 可用 |
評分和審閱
good
Really amazing class and quite helpful for beginners to start to data-extracting.
Very Informative and useful course
PC
good