Lecture 8: October 24, 2019

Reading: §8
Due: Homework 2, due on October 24 at 11:59pm

1. Lists
   1. Sequence of values (ints, floats, strings, other lists, etc.)
   2. Denoted by square brackets [ ] with values separated by commas
   3. Lists are mutable
   4. How to create a list
2. Lists and strings [datecvt.py]
3. Program to print words in a line [lines.py]
4. 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 element list[i]; i can be a slice
5. Searching a list
   1. Example use: linear search [linsearch.py]
6. 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
7. 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)
8. More on parameters: named arguments and variable number of arguments [args3.py]
9. Tuples
   1. Used to group data
   2. Like lists, but immutable
10. isinstance(obj,type) function
    1. type is bool, float, int, list, str, tuple

Matt Bishop Office: 2209 Watershed Sciences Phone: +1 (530) 752-8060 Email: mabishop@ucdavis.edu

MHI 289I, Programming in Health Informatics Version of October 23, 2019 at 9:52PM

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