Outline for May 13, 2014

1. Program to compute some statistics [addup.py]
2. What you can do with lists
   1. Check membership: in, not in
   2. +: concatenation
   3. *: repetition
   4. list[a:b]: slice list from a to b−1
   5. del list[i]: delete list[i]; i can be a slice
3. Objects, references, aliasing
   1. For strings, one copy: assume a = "banana"
      1. After b = a or b = a[:], then a is b is True
   2. For lists, multiple copies: assume A = [ 1, 2, 3 ]
      1. After B = A, then A is B is True
      2. After B = A[:], then A is B is False
4. enumerate(L) produces pairs (index, list element)
5. Lists as parameters: can change list elements in function and they are changed in caller [args2.py]
   1. Add elements to, remove elements: L.append(x), L.extend(ls), L.insert(i, x), L.pop(), L.remove(x)
   2. Element ordering: L.reverse(), L.sort()
   3. Other: L.count(x), L.index(x)
6. Tuples
   1. Used to group data
   2. Like lists, but immutable
7. Recursion
   1. n factorial [nfact.py]
   2. Fibonacci numbers [rfib.py]
   3. Sum of digits [sumdigits.py]