Python – Fullstack path 1

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 (Total 44 min), 1 reading, 2 quizzes

4 videos
11.1 – Regular Expressions10m

11.2 – Extracting Data15m

>>> import re

>>> x = ‘my 2 favorrite numbers are 19 and 42’

>>> y = re.findall(‘[0-9]+’, x)

>>> print(y)

[‘2′, ’19’, ’42’]

>>> y = re.findall(‘[AEIOU]+’, x)

>>> print(y)

[]

>>> x= ‘From: Using the : charater’

>>> y = re.findall(‘^F.+:’, x)

>>> print(y)

[‘From: Using the :’]

>>> y = re.findall(‘^F.+?:’, x)

>>> print(y)

[‘From:’]

>>>

>>> import re

>>> x = ‘From stephen.marquard@uct.ac.za Sat Jan 5 09:14:16 2008’

>>> y = re.findall(‘\S+@\S+’, x)

>>> print(y)

[‘stephen.marquard@uct.ac.za’]

>>> data = x

>>> atpos = data.find(‘@’)

>>> print(atpos)

21

>>> sppos = data.find(‘ ‘,atpos)

>>> print(sppos)

31

>>> host = data [atpos+1 : sppos]

>>> print(host)

uct.ac.za

>>> lin = x

>>> y = re.findall(‘@([^ ]*)’, lin)

>>> print(y)

[‘uct.ac.za’]

>>> y = re.findall(‘^From.*@([^ ]*)’, lin)

>>> print(y)

[‘uct.ac.za’]

Bonus: Office Hours – Den Haag2m
Bonus Interview: Bjarne Stroustrup – C++15m
1 reading
Python Regular Expression Quick Guide10m
1 practice exercise
Regular Expressions20m

Week 3 3 hours to complete

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 videos (Total 68 min), 1 reading, 2 quizzes

8 videos
12.1 – Networked Technology7m
12.2 – Hypertext Transfer Protocol (HTTP)14m
Worked Example: Sockets (Chapter 12)6m
Using the Developer Console to Explore HTTP10m
Bonus: Leonard Kleinrock – The First Two Packets on the ARPANET13m
Bonus Video: Robert Cailliau – co-Inventor of the Web9m
Bonus: Office Hours – Atlanta GA (Buckhead)3m
Fun: Dr. Chuck @ CNN Reading the News4m

1 reading
If You Want to Learn More10m

In this section we learn to use Python to retrieve data from web sites and APIs over the Internet. 8 videos (Total 58 min), 1 reading, 3 quizzes

8 videos
12.3 – Unicode Characters and Strings17m
12.4 – Retrieving Web Pages6m
Worked Example: Using Urllib (Chapter 12)3m
12.5 – Parsing Web Pages9m
Worked Example: BeautifulSoup (Chapter 12)9m
Bonus: Office Hours – Montreal4m
Bonus Interview: Tim Berners-Lee – Inventing the Web1m
Fun: I Got My Mojo Working – Geneva, Switzerland5m

In this section, we learn how to retrieve and parse XML (eXtensible Markup Language) data. 8 videos (Total 62 min), 2 quizzes

In this module, we work with Application Program Interfaces / Web Services using the JavaScript Object Notation (JSON) data format. 12 videos (Total 95 min), 2 readings, 3 quizzes

12 videos
13.5 – JavaScript Object Notation (JSON)9m
Worked Example: JSON (Chapter 13)5m
Interview: Douglas Crockford – Discovering JSON7m
13.6 – Service Oriented Approach2m
Video: Service Oriented Architectures5m
13.7 – Using Application Programming Interfaces8m
Worked Example: GeoJSON API (Chapter 13)7m
13.8 – Securing API Requests11m
Worked Example: Twitter API (Chapter 13)19m
Bonus: Office Hours – Melbourne, AU1m
Bonus: Office Hours – Santa Monica, CA7m
Bonus: Class Reunion at Bletchley Park9m