Difference between revisions of "Philadelphia Python Workshop/Lecture"

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(Created page with "Welcome to the Saturday lecture section of the Chicago Python Workshop! For about 2 hours, we'll work through an introduction to the Python programming language via both a lec...")
 
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Welcome to the Saturday lecture section of the Chicago 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.
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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 ==
   
* [[Chicago Python Workshop/Lecture/Data types| Python data types cheat sheet]].
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* [[Philadelphia_Python_Workshop/Lecture/Data types| Python data types cheat sheet]].
* [[Chicago Python Workshop/Lecture/Loops| Python loops cheat sheet]].
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* [[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

For extra practice, see Python's official tutorial.

Lecture outline

  1. review Friday material
    • math
    • type()
    • variables
    • strings
    • booleans
    • if/elif/else
    • functions
  2. lists
    • purpose
    • initialization
    • len() review
    • accessing elements
    • adding elements
    • changing elements
    • slicing lists
    • strings are like lists
  3. 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()
  4. dictionaries
    • purpose
    • initialization
    • accessing elements
    • adding elements
    • changing elements
    • keys() and values()
  5. 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.