DS4UX (Spring 2016)/Day 2 lecture

From CommunityData

Resources

Lecture outline

Lists

  • purpose
    • Stores things in order
  • initialization
    • making a list called my list: my_list = ["a", "b", "c"]
    • comma separated elements. in python they can be a mix of any kind of types
    • type(my_list)
  • len() review
  • accessing elements
    • indexing like my_list[0]
    • indexing starts from the front and we start counting at 0 (now you understand all the zeros we've been using)
    • we go from the end with negative numbers
    • what happens if we try to move outside of the range? ('error!)
  • adding elements
    • using the the my_list.append() function
    • the .append() function is a special kind of function that lists know about
  • changing elements
    • replacing elements like my_list[0] = "foo"
  • finding elements in list
    • e.g., "z" in my_list
  • slicing lists
    • the colon inside the [] is the slicing syntax
    • e.g., my_list[0:2] is 0th up to, but not including, the 2nd
    • e.g., my_list[2:]
    • e.g., my_list[:2]
    • e.g., my_list[:]
  • strings are like lists
    • we can slice lists
    • len()
      • len("") length of the empty string
  • many other interesting functions for lists
    • e.g., min() and max()
    • e.g., create a list of names and sort it names.sort()

loops and more flow control

  • for loops
    • e.g., for name in names: print name
    • e.g., for name in names: print 'hello ' + name
    • Super powerful because it can do something many many times. Data science is about doing tedious things very quickly. For is the workhorse that makes this possible.
    • Look and see name is after we're done looping.
    • Move to editor.
  • if statements inside for loops
    • e.g., if name[0] in "AEIOU" then print "starts with a vowel"
    • show we can test things outside the loop to show how the comparisons are working
    • add an else statement to capture words that start with a consonant
    • append to a list within a for loop
    • create a counter within a for loop (keep track)
    • build up a sentence
  • nested for loops
  • range()
  • while loops
  • infinite loops
  • if statements inside while loops
  • break
  • input()

dictionaries

  • purpose
  • initialization
  • accessing elements
  • adding elements
  • changing elements
  • keys() and values()

modules

  • purpose
  • builtins
  • imports
  • import random
  • random.randint
  • random.choice

walk through state_capitals.py

Where state_capitals.py from http://mako.cc/teaching/2015/cdsw-spring/state_capitals.py is the grand finale and synthesis of lecture material.