# Outline for February 26, 2018

1. Reading a URL [geturl.py,geturl2.py]
1. Opening a URL
2. Reading the page as a string
2. Dictionary
1. Collection of key-value pairs
3. Creating dictionaries
1. Using d = {}
2. Using d = dict()
4. Methods for dictionaries
1. k in D: True if dictionary D has key k; else False
2. D.keys(): list of keys in D
3. D.values(): list of values in D
4. D.items(): list of tuples (key, value) in D
5. D.get(k, d): if key k in D, return associated value; else return d
6. del D[k]: delete tuple with key k from D
7. D.clear(): delete all entries in D
5. Example: memos
1. Remember how slowly the recursive Fibonacci number program rfib.py ran? Here is a faster recursive Fibonacci [rfibmemo.py]
6. Sorting the dictionary
1. sorted sorts based on keys
7. Example: word frequency count
1. Unsorted [wfc-1.py]
2. Sorted alphabetically [wfc-2.py]
3. Sorted alphabetically, but dictionary order (note key=str.lower() in sorted [wfc-2a.py]
4. Sorted by frequency (treat lambda x: x[1] as an idiom to reference the value of the dictionary entry, not the key—to go from highest to lowest, replace x[1] with -x[1]) [wfc-3.py]
5. Sorted by frequency first, then alphabetically—note use of function alphafreq(x); you can use any function here, and the parameter is the item [wfc-4.py]

 Matt Bishop Department of Computer Science University of California at Davis Davis, CA 95616-8562 USA
Last modified: Version of February 25, 2018 at 6:40PM
Winter Quarter 2018
You can get a PDF version of this