Python has a great built-in list type named list. List literals are written within square brackets [ ]. Lists work similarly to strings -- use the len() function and square brackets [ ] to access data, with the first element at index 0. (See the official Data Structures — Python 2.7 documentation)
colors = ['red', 'blue', 'green']print colors ## redprint colors ## greenprint len(colors) ## 3
Assignment with an = on lists does not make a copy. Instead, assignment makes the two variables point to the one list in memory.
b = colors ## Does not copy the list
The "empty list" is just an empty pair of brackets [ ]. The + works to append two lists, so [1, 2] + [3, 4] yields [1, 2, 3, 4] (this is just like + with strings).
Python's for and in constructs are extremely useful, and the first use of them we'll see is with lists. The for construct -- for var in list -- is an easy way to look at each element in a list (or other collection). Do not add or remove from the list during iteration.
squares = [1, 4, 9, 16]total = 0for num in squares:total += numprint total ## 30
If you know what sort of thing is in the list, use a variable name in the loop that captures that information such as num, or name, or url. Since python code does not have other syntax to remind you of types, your variable names are a key way for you to keep straight what is going on.
The in construct on its own is an easy way to test if an element appears in a list (or other collection) -- value in collection -- tests if the value is in the collection, returning True / False.
list = ['larry', 'curly', 'moe']if 'curly' in list:print 'yay'
The for / in constructs are very commonly used in Python code and work on data types other than list, so you should just memorize their syntax. You may have habits from other languages where you start manually iterating over a collection, where in Python you should just use for / in.
You can also use for / in to work on a string. The string acts like a list of its chars, so for ch in s: print ch prints all the chars in a string.
The range(n) function yields the numbers 0, 1, ... n-1, and range(a, b) returns a, a+1, ... b-1 -- up to but not including the last number. The combination of the for-loop and the range() function allow you to build a traditional numeric for loop:
## print the numbers from 0 through 99for i in range(100):print i
There is a variant xrange() which avoids the cost of building the whole list for performance sensitive cases (in Python 3.0, range() will have the good performance behavior and you can forget about xrange()).
Python also has the standard while-loop. The above for / in loops solves the common case of iterating over every element in a list, but the while loop gives you total control over the index numbers. Here's a while loop which accesses every 3rd element in a list:
## Access every 3rd element in a lista = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, ]i = 0while i < len(a):print a[i]i = i + 3
break and continue give us some more control over what code is executed inside a loop.
If a break is encountered, Python immediate stops iterating over the loop (it also ignores all the code after the break within the block, if any). Here's an example:
a = [1, 5, 3, 2, 4, 6, ]for element in a:print elementif element == 2:break # quit the loop when element == 2print -element # when element == 2, this line too won't execute
Here's the code output:
Note: 4 and 6 don't get printed at all. 2 gets printed, but -2 does not, since break happens before that.
If a continue is encountered, Python ignores the code after the continue within the block, but "continues" iterating over the rest of the elements. Here's an example:
a = [1, 5, 3, 2, 4, 6, ]for element in a:print elementif element <= 2:continue # don't execute the rest if element <= 2print -element # when element <= 2, this line too won't execute
Here's the code output:
Note: All numbers get printed. However, for 1 and 2, the negative values don't get printed because of the continue.
Lastly, break and continue can be used inside while-loops as well.
Here are some other common list methods.
- list.append(elem) -- adds a single element to the end of the list. Common error: does not return the new list, just modifies the original.
- list.insert(index, elem) -- inserts the element at the given index, shifting elements to the right.
- list.extend(list2) adds the elements in list2 to the end of the list. Using + or += on a list is similar to using extend().
- list.index(elem) -- searches for the given element from the start of the list and returns its index. Throws a ValueError if the element does not appear (use in to check without a ValueError).
- list.remove(elem) -- searches for the first instance of the given element and removes it (throws ValueError if not present)
- list.sort() -- sorts the list in place (does not return it). (The sorted() function shown below is preferred.)
- list.reverse() -- reverses the list in place (does not return it)
- list.pop(index) -- removes and returns the element at the given index. Returns the rightmost element if index is omitted (roughly the opposite of append()).
Notice that these are methods on a list object, while len() is a function that takes the list (or string or whatever) as an argument.
list = ['larry', 'curly', 'moe']list.append('shemp') ## append elem at endlist.insert(0, 'xxx') ## insert elem at index 0list.extend(['yyy', 'zzz']) ## add list of elems at endprint list ## ['xxx', 'larry', 'curly', 'moe', 'shemp', 'yyy', 'zzz']print list.index('curly') ## 2list.remove('curly') ## search and remove that elementlist.pop(1) ## removes and returns 'larry'print list ## ['xxx', 'moe', 'shemp', 'yyy', 'zzz']
Common error: note that the above methods do not return the modified list, they just modify the original list.
list = [1, 2, 3]print list.append(4) ## NO, does not work, append() returns None## Correct pattern:list.append(4)print list ## [1, 2, 3, 4]
One common pattern is to start a list as the empty list , then use append() or extend() to add elements to it:
list =  ## Start as the empty listlist.append('a') ## Use append() to add elementslist.append('b')
Slices work on lists just as with strings, and can also be used to change sub-parts of the list.
list = ['a', 'b', 'c', 'd']print list[1:-1] ## ['b', 'c']list[0:2] = 'z' ## replace ['a', 'b'] with ['z']print list ## ['z', 'c', 'd']
List comprehensions are a more advanced feature which is nice for some cases but is not needed for the exercises and is not something you need to learn at first (i.e. you can skip this section). A list comprehension is a compact way to write an expression that expands to a whole list. Suppose we have a list nums [1, 2, 3, 4], here is the list comprehension to compute a list of their squares [1, 4, 9, 16]:
nums = [1, 2, 3, 4]squares = [ n * n for n in nums ] ## [1, 4, 9, 16]
The syntax is [ expr for var in list ] -- the for var in list looks like a regular for-loop, but without the colon :. The expr to its left is evaluated once for each element to give the values for the new list. Here is an example with strings, where each string is changed to upper case with '!!!' appended:
strs = ['hello', 'and', 'goodbye']shouting = [ s.upper() + '!!!' for s in strs ]## ['HELLO!!!', 'AND!!!', 'GOODBYE!!!']
You can add an if test to the right of the for-loop to narrow the result. The if test is evaluated for each element, including only the elements where the test is True.
## Select values <= 2nums = [2, 8, 1, 6]small = [ n for n in nums if n <= 2 ] ## [2, 1]## Select fruits containing 'a', change to upper casefruits = ['apple', 'cherry', 'bannana', 'lemon']afruits = [ s.upper() for s in fruits if 'a' in s ]## ['APPLE', 'BANNANA']