BDACA1516s2 - Lecture2
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The document is an introductory guide to programming in Python, focusing on basic concepts such as data types, indentation, and functions. It includes practical examples of variable types, lists, dictionaries, and methods, emphasizing proper syntax and structure in code. Upcoming sessions are mentioned, with a focus on applying these concepts to data analysis in future meetings.
![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/lecture2-160330184515/85/BDACA1516s2-Lecture2-9-320.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/lecture2-160330184515/85/BDACA1516s2-Lecture2-10-320.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/lecture2-160330184515/85/BDACA1516s2-Lecture2-11-320.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/lecture2-160330184515/85/BDACA1516s2-Lecture2-19-320.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!!! Best: always use 4 spaces!
Big Data and Automated Content Analysis Damian Trilling](https://image.slidesharecdn.com/lecture2-160330184515/85/BDACA1516s2-Lecture2-20-320.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/lecture2-160330184515/85/BDACA1516s2-Lecture2-21-320.jpg)
BDACA1516s2 - Lecture2
- 1. You are encouraged to start up Spyder. If you do so, you can try out the examples while listening. If you prefer to listen only, that’s fine as well.
- 2. Basics Exercise Next meetings Big Data and Automated Content Analysis Week 2 – Monday »Getting started with Python« Damian Trilling [email protected] @damian0604 www.damiantrilling.net Afdeling Communicatiewetenschap Universiteit van Amsterdam 4 April 2016 Big Data and Automated Content Analysis Damian Trilling
- 3. 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
- 4. The very, very, basics of programming You’ve read all this in chapter 3.
- 5. 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
- 6. Basics Exercise Next meetings Datatypes Python lingo Basic datatypes (variables) int 32 float 1.75 bool True, False string "Damian" variable name firstname "firstname" and firstname is not the same. Big Data and Automated Content Analysis Damian Trilling
- 7. Basics Exercise Next meetings Datatypes Python lingo Basic datatypes (variables) int 32 float 1.75 bool True, False string "Damian" variable name firstname "firstname" and firstname is not the same. "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
- 8. 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
- 9. 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
- 10. 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
- 11. 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
- 12. Basics Exercise Next meetings Datatypes Python lingo Functions 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. Big Data and Automated Content Analysis Damian Trilling
- 14. 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
- 15. 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
- 16. Indention: The Python way of structuring your program
- 17. Basics Exercise Next meetings Indention Indention Structure The program is structured by TABs or SPACEs Big Data and Automated Content Analysis Damian Trilling
- 19. 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
- 20. 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!!! Best: always use 4 spaces! Big Data and Automated Content Analysis Damian Trilling
- 21. 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
- 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 : 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 Big Data and Automated Content Analysis Damian Trilling
- 24. 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
- 25. 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
- 26. 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
- 27. 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
- 28. Basics Exercise Next meetings We’ll now together do a simple exercise . . . Big Data and Automated Content Analysis Damian Trilling
- 29. Basics Exercise Next meetings Next meetings Big Data and Automated Content Analysis Damian Trilling
- 30. Basics Exercise Next meetings Wednesday We will work together on “Describing an existing structured dataset” (Appendix of the book). Preparation: Make sure you understood all of today’s concepts! Big Data and Automated Content Analysis Damian Trilling