À propos de ce cours : 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.

Créé par : Université du Michigan

Enseigné par : Charles Severance, Associate Professor
School of Information

Informations de base	Cours 3 de 5 dans Python for Everybody Specialization
Engagement	6 weeks of study, 2-4 hours/week
Langue	English
Comment réussir	Réussissez tous les devoirs notés pour terminer le cours.
Notes des utilisateurs	4.8 étoiles Note moyenne des utilisateurs 4.8Voir ce que disent les étudiants

Programme de cours

SEMAINE 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 vidéos, 5 lectures

Reading: Python Textbook
Reading: Help us learn more about you!
Vidéo: 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
Vidéo: Windows 10: Installing Python and Writing A Program
Vidéo: Windows: Taking Screen Shots
Vidéo: Macintosh: Using Python and Writing A Program
Vidéo: Macintosh: Taking Screen Shots

Noté: Peer Review: Installing and Running Python Screen Shots

SEMAINE 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 vidéos, 1 lecture

Vidéo: 11.2 - Extracting Data
Reading: Python Regular Expression Quick Guide
Vidéo: Bonus: Office Hours - Den Haag
Vidéo: Bonus Interview: Bjarne Stroustrup - C++

Noté: Regular Expressions

Noté: Extracting Data With Regular Expressions

SEMAINE 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 vidéos, 1 lecture

Vidéo: 12.2 - Hypertext Transfer Protocol (HTTP)
Vidéo: Worked Example: Sockets (Chapter 12)
Reading: If You Want to Learn More
Vidéo: Bonus: Leonard Kleinrock - The First Two Packets on the ARPANET
Vidéo: Bonus Video: Robert Cailliau - co-Inventor of the Web
Vidéo: Bonus: Office Hours - Atlanta GA (Buckhead)
Vidéo: Fun: Dr. Chuck @ CNN Reading the News

Noté: Networks and Sockets

Noté: Understanding the Request / Response Cycle

SEMAINE 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 vidéos, 1 lecture

Vidéo: 12.4 - Retrieving Web Pages
Vidéo: Worked Example: Using Urllib (Chapter 12)
Vidéo: 12.5 - Parsing Web Pages
Vidéo: Worked Example: BeautifulSoup (Chapter 12)
Reading: Notes Regarding the Use of BeautifulSoup
Vidéo: Bonus: Office Hours - Montreal
Vidéo: Bonus Interview: Tim Berners-Lee - Inventing the Web
Vidéo: Fun: I Got My Mojo Working - Geneva, Switzerland

Noté: Reading Web Data From Python

Noté: Scraping HTML Data with BeautifulSoup

Noté: Assignment: Following Links in HTML Using BeautifulSoup

SEMAINE 5

Web Services and XML (Chapter 13)

In this section, we learn how to retrieve and parse XML (eXtensible Markup Language) data.

8 vidéos

Vidéo: 13.2 eXtensible Markup Language (XML)
Vidéo: 13.3 - XML Schema
Vidéo: 13.4 - Parsing XML
Vidéo: Worked Example: XML (Chapter 13)
Vidéo: Interview: Roy Fielding - Understanding the REST Architecture
Vidéo: Bonus: Office Hours - Boston
Vidéo: Bonus Video: Ian Horrocks / RDF / OWL (Advanced)

Noté: eXtensible Markup Language

Noté: Extracting Data from XML

SEMAINE 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 vidéos, 2 lectures

Vidéo: Worked Example: JSON (Chapter 13)
Vidéo: Interview: Douglas Crockford - Discovering JSON
Vidéo: 13.6 - Service Oriented Approach
Vidéo: Video: Service Oriented Architectures
Vidéo: 13.7 - Using Application Programming Interfaces
Vidéo: Worked Example: GeoJSON API (Chapter 13)
Vidéo: 13.8 - Securing API Requests
Vidéo: Worked Example: Twitter API (Chapter 13)
Vidéo: Bonus: Office Hours - Melbourne, AU
Vidéo: Bonus: Office Hours - Santa Monica, CA
Vidéo: Bonus: Class Reunion at Bletchley Park
Reading: Please Rate this Course on Class-Central
Reading: Post-Course Survey

Noté: REST, JSON, and APIs

Noté: Extracting Data from JSON

Noté: Using the GeoJSON API

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Comment cela fonctionne

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.

Créateurs

Université du 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.

Tarification

	Acheter le cours
Accéder au contenu du cours	Disponible
Accéder au contenu noté	Disponible
Recevoir une Note Finale	Disponible
Obtenir un Certificat de Cours partageable	Disponible

Notation et examens

Note moyenne 4.8 sur 5 sur 15,864 notes

I am totally new to programming. I have experience working in a technical environment

and have a lot to do with IT in my daily job, but I wanted to learn something new. I made

different attempts to learn to programm, but all of them failed. Now, I have been doing the whole module

of Python for Everybody (5 courses) and I am enjoying it a lot. Lectures by Dr Chuck are really insporational, well prepared and

easy to understand to a person who does not have any experience with programming.

I am becoming more and more involved into python:).

Just a fantastic class. The things I've learned! The confidence I've gained in my ability to figure things out!

Truly, a wonderful set of classes.

Extremely well taught course with great assignments that are also set-up and explained in detail. Learned so much in this course and am very excited to continue with the next course in this specialisation.