Об этом курсе: 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.
Автор: Мичиганский университет
Преподаватели: Charles Severance, Associate Professor
School of Information
| Основные сведения | Course 3 of 5 in the Python for Everybody Specialization |
| Выполнение | 6 weeks of study, 2-4 hours/week |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
Программа курса
НЕДЕЛЯ 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 видео, 5 материалов для самостоятельного изучения
- Reading: Python Textbook
- Reading: Help us learn more about you!
- Видео: Welcome to Python - Guido van Rossum
- Reading: Welcome to Python 3
- Reading: Notes on Choice of Text Editor
- Reading: Notice for Auditing Learners: Assignment Submission
- Видео: Windows 10: Installing Python and Writing A Program
- Видео: Windows: Taking Screen Shots
- Видео: Macintosh: Using Python and Writing A Program
- Видео: Macintosh: Taking Screen Shots
Оцениваемый: Peer Review: Installing and Running Python Screen Shots
НЕДЕЛЯ 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 видео, 1 материал для самостоятельного изучения
- Видео: 11.2 - Extracting Data
- Reading: Python Regular Expression Quick Guide
- Видео: Bonus: Office Hours - Den Haag
- Видео: Bonus Interview: Bjarne Stroustrup - C++
Оцениваемый: Regular Expressions
Оцениваемый: Extracting Data With Regular Expressions
НЕДЕЛЯ 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 видео, 1 материал для самостоятельного изучения
- Видео: 12.2 - Hypertext Transfer Protocol (HTTP)
- Видео: Worked Example: Sockets (Chapter 12)
- Reading: If You Want to Learn More
- Видео: Bonus: Leonard Kleinrock - The First Two Packets on the ARPANET
- Видео: Bonus Video: Robert Cailliau - co-Inventor of the Web
- Видео: Bonus: Office Hours - Atlanta GA (Buckhead)
- Видео: Fun: Dr. Chuck @ CNN Reading the News
Оцениваемый: Networks and Sockets
Оцениваемый: Understanding the Request / Response Cycle
НЕДЕЛЯ 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 видео, 1 материал для самостоятельного изучения
- Видео: 12.4 - Retrieving Web Pages
- Видео: Worked Example: Using Urllib (Chapter 12)
- Видео: 12.5 - Parsing Web Pages
- Видео: Worked Example: BeautifulSoup (Chapter 12)
- Reading: Notes Regarding the Use of BeautifulSoup
- Видео: Bonus: Office Hours - Montreal
- Видео: Bonus Interview: Tim Berners-Lee - Inventing the Web
- Видео: Fun: I Got My Mojo Working - Geneva, Switzerland
Оцениваемый: Reading Web Data From Python
Оцениваемый: Scraping HTML Data with BeautifulSoup
Оцениваемый: Assignment: Following Links in HTML Using BeautifulSoup
НЕДЕЛЯ 5
Web Services and XML (Chapter 13)
In this section, we learn how to retrieve and parse XML (eXtensible Markup Language) data.
8 видео
- Видео: 13.2 eXtensible Markup Language (XML)
- Видео: 13.3 - XML Schema
- Видео: 13.4 - Parsing XML
- Видео: Worked Example: XML (Chapter 13)
- Видео: Interview: Roy Fielding - Understanding the REST Architecture
- Видео: Bonus: Office Hours - Boston
- Видео: Bonus Video: Ian Horrocks / RDF / OWL (Advanced)
Оцениваемый: eXtensible Markup Language
Оцениваемый: Extracting Data from XML
НЕДЕЛЯ 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 видео, 2 материалов для самостоятельного изучения
- Видео: Worked Example: JSON (Chapter 13)
- Видео: Interview: Douglas Crockford - Discovering JSON
- Видео: 13.6 - Service Oriented Approach
- Видео: Video: Service Oriented Architectures
- Видео: 13.7 - Using Application Programming Interfaces
- Видео: Worked Example: GeoJSON API (Chapter 13)
- Видео: 13.8 - Securing API Requests
- Видео: Worked Example: Twitter API (Chapter 13)
- Видео: Bonus: Office Hours - Melbourne, AU
- Видео: Bonus: Office Hours - Santa Monica, CA
- Видео: Bonus: Class Reunion at Bletchley Park
- Reading: Please Rate this Course on Class-Central
- Reading: Post-Course Survey
Оцениваемый: REST, JSON, and APIs
Оцениваемый: Extracting Data from JSON
Оцениваемый: Using the GeoJSON API
Часто задаваемые вопросы
Как это работает
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Авторы
Мичиганский университет
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.
Стоимость
| Приобрести курс | |
|---|---|
| Получить доступ к материалам курса | Доступен |
| Получить доступ к оцениваемым материалам курса | Доступен |
| Получить итоговую оценку | Доступен |
| Earn a shareable Course Certificate | Доступен |
Рейтинги и отзывы
I had lots of fun doing the work and json course was awesome to play with.
Good for beginners who need a lot of explanation and details of programming languages and how to apply it for data analysis.
python access web data made easy
Coursera делает лучшее в мире образование доступным каждому, предлагая онлайн-курсы от ведущих университетов и организаций.
© Coursera Inc., 2018 Все права защищены.
please i want to submit again in Peer Review: Installing and Running Python Screen Shots in week 1 but a can't