BD-ACA week2
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This document outlines an introductory Python programming course, including discussions of: 1. Python data types like integers, floats, booleans, and strings. 2. Python structures like lists, dictionaries, functions, and methods. 3. Using indentation in Python to structure programs with blocks like for loops and if/else statements. 4. An upcoming class will cover data harvesting, storage formats, APIs, scrapers, databases, and an assigned reading.
![Basics Exercise Next meetings
Datatypes
Python lingo
More advanced datatypes
list firstnames = [’Damian’,’Lori’,’Bjoern’]
lastnames =
[’Trilling’,’Meester’,’Burscher’]
Note that the elements of a list, the keys of a dict, and the values
of a dict can have any datatype! (It should be consistent, though!)
Big Data and Automated Content Analysis Damian Trilling](https://image.slidesharecdn.com/week2-150403135702-conversion-gate01/85/BD-ACA-week2-7-320.jpg)
![Basics Exercise Next meetings
Datatypes
Python lingo
More advanced datatypes
list firstnames = [’Damian’,’Lori’,’Bjoern’]
lastnames =
[’Trilling’,’Meester’,’Burscher’]
list ages = [18,22,45,23]
Note that the elements of a list, the keys of a dict, and the values
of a dict can have any datatype! (It should be consistent, though!)
Big Data and Automated Content Analysis Damian Trilling](https://image.slidesharecdn.com/week2-150403135702-conversion-gate01/85/BD-ACA-week2-8-320.jpg)
![Basics Exercise Next meetings
Datatypes
Python lingo
More advanced datatypes
list firstnames = [’Damian’,’Lori’,’Bjoern’]
lastnames =
[’Trilling’,’Meester’,’Burscher’]
list ages = [18,22,45,23]
dict familynames= {’Bjoern’: ’Burscher’,
’Damian’: ’Trilling’, ’Lori’: ’Meester’}
dict {’Bjoern’: 26, ’Damian’: 31, ’Lori’:
25}
Note that the elements of a list, the keys of a dict, and the values
of a dict can have any datatype! (It should be consistent, though!)
Big Data and Automated Content Analysis Damian Trilling](https://image.slidesharecdn.com/week2-150403135702-conversion-gate01/85/BD-ACA-week2-9-320.jpg)
![Basics Exercise Next meetings
Indention
Indention
Structure
The program is structured by TABs or SPACEs
1 firstnames=[’Damian’,’Lori’,’Bjoern’]
2 age={’Bjoern’: 27, ’Damian’: 32, ’Lori’: 26}
3 print ("The names and ages of all BigData people:")
4 for naam in firstnames:
5 print (naam,age[naam])
Big Data and Automated Content Analysis Damian Trilling](https://image.slidesharecdn.com/week2-150403135702-conversion-gate01/85/BD-ACA-week2-15-320.jpg)
![Basics Exercise Next meetings
Indention
Indention
Structure
The program is structured by TABs or SPACEs
1 firstnames=[’Damian’,’Lori’,’Bjoern’]
2 age={’Bjoern’: 27, ’Damian’: 32, ’Lori’: 26}
3 print ("The names and ages of all BigData people:")
4 for naam in firstnames:
5 print (naam,age[naam])
Don’t mix up TABs and spaces! Both are valid, but you have
to be consequent!!!
Big Data and Automated Content Analysis Damian Trilling](https://image.slidesharecdn.com/week2-150403135702-conversion-gate01/85/BD-ACA-week2-16-320.jpg)
![Basics Exercise Next meetings
Indention
Indention
Structure
The program is structured by TABs or SPACEs
1 print ("The names and ages of all BigData people:")
2 for naam in firstnames:
3 print (naam,age[naam])
4 if naam=="Damian":
5 print ("He teaches this course")
6 elif naam=="Lori":
7 print ("She was an assistant last year")
8 elif naam=="Bjoern":
9 print ("He helps on Wednesdays")
10 else:
11 print ("No idea who this is")
Big Data and Automated Content Analysis Damian Trilling](https://image.slidesharecdn.com/week2-150403135702-conversion-gate01/85/BD-ACA-week2-17-320.jpg)
BD-ACA week2
- 1. Basics Exercise Next meetings Big Data and Automated Content Analysis Week 2 – Wednesday »Getting started with Python« Damian Trilling [email protected] @damian0604 www.damiantrilling.net Afdeling Communicatiewetenschap Universiteit van Amsterdam 8 April 2014 Big Data and Automated Content Analysis Damian Trilling
- 2. Basics Exercise Next meetings Today 1 The very, very, basics of programming with Python Datatypes Indention: The Python way of structuring your program 2 Exercise 3 Next meetings Big Data and Automated Content Analysis Damian Trilling
- 3. The very, very, basics of programming You’ve read all this in chapter 3.
- 4. Basics Exercise Next meetings Datatypes Python lingo Basic datatypes (variables) int 32 float 1.75 bool True, False string "Damian" Big Data and Automated Content Analysis Damian Trilling
- 5. Basics Exercise Next meetings Datatypes Python lingo Basic datatypes (variables) int 32 float 1.75 bool True, False string "Damian" "5" and 5 is not the same. But you can transform it: int("5") will return 5. You cannot calculate 3 * "5". But you can calculate 3 * int("5") Big Data and Automated Content Analysis Damian Trilling
- 6. Basics Exercise Next meetings Datatypes Python lingo More advanced datatypes Note that the elements of a list, the keys of a dict, and the values of a dict can have any datatype! (It should be consistent, though!) Big Data and Automated Content Analysis Damian Trilling
- 7. Basics Exercise Next meetings Datatypes Python lingo More advanced datatypes list firstnames = [’Damian’,’Lori’,’Bjoern’] lastnames = [’Trilling’,’Meester’,’Burscher’] Note that the elements of a list, the keys of a dict, and the values of a dict can have any datatype! (It should be consistent, though!) Big Data and Automated Content Analysis Damian Trilling
- 8. Basics Exercise Next meetings Datatypes Python lingo More advanced datatypes list firstnames = [’Damian’,’Lori’,’Bjoern’] lastnames = [’Trilling’,’Meester’,’Burscher’] list ages = [18,22,45,23] Note that the elements of a list, the keys of a dict, and the values of a dict can have any datatype! (It should be consistent, though!) Big Data and Automated Content Analysis Damian Trilling
- 9. Basics Exercise Next meetings Datatypes Python lingo More advanced datatypes list firstnames = [’Damian’,’Lori’,’Bjoern’] lastnames = [’Trilling’,’Meester’,’Burscher’] list ages = [18,22,45,23] dict familynames= {’Bjoern’: ’Burscher’, ’Damian’: ’Trilling’, ’Lori’: ’Meester’} dict {’Bjoern’: 26, ’Damian’: 31, ’Lori’: 25} Note that the elements of a list, the keys of a dict, and the values of a dict can have any datatype! (It should be consistent, though!) Big Data and Automated Content Analysis Damian Trilling
- 10. Basics Exercise Next meetings Datatypes Python lingo Functions Big Data and Automated Content Analysis Damian Trilling
- 11. Basics Exercise Next meetings Datatypes Python lingo Functions functions Take an input and return something else int(32.43) returns the integer 32. len("Hello") returns the integer 5. Big Data and Automated Content Analysis Damian Trilling
- 12. Basics Exercise Next meetings Datatypes Python lingo Functions functions Take an input and return something else int(32.43) returns the integer 32. len("Hello") returns the integer 5. methods are similar to functions, but directly associated with an object. "SCREAM".lower() returns the string "scream" Big Data and Automated Content Analysis Damian Trilling
- 13. Basics Exercise Next meetings Datatypes Python lingo Functions functions Take an input and return something else int(32.43) returns the integer 32. len("Hello") returns the integer 5. methods are similar to functions, but directly associated with an object. "SCREAM".lower() returns the string "scream" Both functions and methods end with (). Between the (), arguments can (sometimes have to) be supplied. Big Data and Automated Content Analysis Damian Trilling
- 14. Indention: The Python way of structuring your program
- 15. Basics Exercise Next meetings Indention Indention Structure The program is structured by TABs or SPACEs 1 firstnames=[’Damian’,’Lori’,’Bjoern’] 2 age={’Bjoern’: 27, ’Damian’: 32, ’Lori’: 26} 3 print ("The names and ages of all BigData people:") 4 for naam in firstnames: 5 print (naam,age[naam]) Big Data and Automated Content Analysis Damian Trilling
- 16. Basics Exercise Next meetings Indention Indention Structure The program is structured by TABs or SPACEs 1 firstnames=[’Damian’,’Lori’,’Bjoern’] 2 age={’Bjoern’: 27, ’Damian’: 32, ’Lori’: 26} 3 print ("The names and ages of all BigData people:") 4 for naam in firstnames: 5 print (naam,age[naam]) Don’t mix up TABs and spaces! Both are valid, but you have to be consequent!!! Big Data and Automated Content Analysis Damian Trilling
- 17. Basics Exercise Next meetings Indention Indention Structure The program is structured by TABs or SPACEs 1 print ("The names and ages of all BigData people:") 2 for naam in firstnames: 3 print (naam,age[naam]) 4 if naam=="Damian": 5 print ("He teaches this course") 6 elif naam=="Lori": 7 print ("She was an assistant last year") 8 elif naam=="Bjoern": 9 print ("He helps on Wednesdays") 10 else: 11 print ("No idea who this is") Big Data and Automated Content Analysis Damian Trilling
- 18. Basics Exercise Next meetings Indention Indention The line before an indented block starts with a statement indicating what should be done with the block and ends with a : Big Data and Automated Content Analysis Damian Trilling
- 19. Basics Exercise Next meetings Indention Indention The line before an indented block starts with a statement indicating what should be done with the block and ends with a : Indention of the block indicates that Big Data and Automated Content Analysis Damian Trilling
- 20. Basics Exercise Next meetings Indention Indention The line before an indented block starts with a statement indicating what should be done with the block and ends with a : Indention of the block indicates that • it is to be executed repeatedly (for statement) – e.g., for each element from a list Big Data and Automated Content Analysis Damian Trilling
- 21. Basics Exercise Next meetings Indention Indention The line before an indented block starts with a statement indicating what should be done with the block and ends with a : Indention of the block indicates that • it is to be executed repeatedly (for statement) – e.g., for each element from a list • it is only to be executed under specific conditions (if, elif, and else statements) Big Data and Automated Content Analysis Damian Trilling
- 22. Basics Exercise Next meetings Indention Indention The line before an indented block starts with a statement indicating what should be done with the block and ends with a : Indention of the block indicates that • it is to be executed repeatedly (for statement) – e.g., for each element from a list • it is only to be executed under specific conditions (if, elif, and else statements) • an alternative block should be executed if an error occurs (try and except statements) Big Data and Automated Content Analysis Damian Trilling
- 23. Basics Exercise Next meetings Indention Indention The line before an indented block starts with a statement indicating what should be done with the block and ends with a : Indention of the block indicates that • it is to be executed repeatedly (for statement) – e.g., for each element from a list • it is only to be executed under specific conditions (if, elif, and else statements) • an alternative block should be executed if an error occurs (try and except statements) • a file is opened, but should be closed again after the block has been executed (with statement) Big Data and Automated Content Analysis Damian Trilling
- 24. Basics Exercise Next meetings We’ll now together do the exercise “Describing an existing structured dataset”. Big Data and Automated Content Analysis Damian Trilling
- 25. Basics Exercise Next meetings Next meetings Big Data and Automated Content Analysis Damian Trilling
- 26. Basics Exercise Next meetings Week 3: Data harvesting and storage Monday, 13–4 A conceptual overview of APIs, scrapers, crawlers, RSS-feeds, databases, and different file formats Wednesday, 15–4 Writing some first data collection scripts Preparation • Conceptual level: Read the article by Morstatter, Pfeffer, Liu, and Carley (2013) about the limitations of the Twitter API. • Technical level: Make sure you are comfortable with the techniques we’ve covered so far. Play around. Give yourself some tasks and solve them. Google. Big Data and Automated Content Analysis Damian Trilling