Philadelphia Python Workshop/Lecture: Difference between revisions
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− | Welcome to the Saturday lecture section of the |
+ | Welcome to the Saturday lecture section of the Philadelphia Python Workshop! For about 2 hours, we'll work through an introduction to the Python programming language via both a lecture and hand-on exercises. |
== Resources == |
== Resources == |
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− | * [[ |
+ | * [[Philadelphia_Python_Workshop/Lecture/Data types| Python data types cheat sheet]]. |
− | * [[ |
+ | * [[Philadelphia_Python_Workshop/Lecture/Loops| Python loops cheat sheet]]. |
* [http://mit.edu/jesstess/www/BostonPythonWorkshop6/state_capitals.py state_capitals.py] -- the state capitals example. |
* [http://mit.edu/jesstess/www/BostonPythonWorkshop6/state_capitals.py state_capitals.py] -- the state capitals example. |
Latest revision as of 12:04, 27 March 2013
Welcome to the Saturday lecture section of the Philadelphia Python Workshop! For about 2 hours, we'll work through an introduction to the Python programming language via both a lecture and hand-on exercises.
Resources
- state_capitals.py -- the state capitals example.
- Saturday morning CodingBat review.
- Saturday lecture CodingBat practice.
For extra practice, see Python's official tutorial.
Lecture outline
- review Friday material
- math
- type()
- variables
- strings
- booleans
- if/elif/else
- functions
- lists
- purpose
- initialization
- len() review
- accessing elements
- adding elements
- changing elements
- slicing lists
- strings are like lists
- loops and more flow control
- for loops
- if statements inside for loops
- nested for loops
- range()
- while loops
- infinite loops
- if statements inside while loops
- break
- raw_input()
- dictionaries
- purpose
- initialization
- accessing elements
- adding elements
- changing elements
- keys() and values()
- modules
- purpose
- builtins
- imports
- import random
- random.randint
- random.choice
- walk through state_capitals.py
Where state_capitals.py from http://mit.edu/jesstess/www/BostonPythonWorkshop6/state_capitals.py is the grand finale and synthesis of lecture material.