Outline for February 26, 2018

Reading: §7

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