Python 3, an illustrated tour Transcripts
Chapter: Language syntax
Lecture: Unpacking Generalizations
0:00 In this video, we're going to talk about additional unpacking generalizations.
0:04 This came out in pep 448 which is in Python 3.5.
0:08 The pep reads extend usages of the * iterable unpacking operator
0:13 and ** dictionary unpacking operators to allow unpacking
0:16 in more positions an arbitrary number of times.
0:20 Let's look at some examples here.
0:22 If I had a dictionary and I wanted to merge it with another one
0:26 in Python 2 and prior to Python 3.5 I would have to do something like this.
0:32 I would create a dictionary here called thing_colors
0:35 which is mapping some object to the color.
0:38 So apple is red, pumpkin is orange.
0:40 And if I wanted to merge this into a new dictionary with more colors
0:44 one way I could do it is create the new dictionary here called more_colors
0:48 and then I could say update more colors with thing_colors
0:51 that would insert thing_colors into more colors.
0:54 And then I could update more colors with other values there,
0:57 note that in this case apple I'm overriding it with green.
1:00 This pep allows us to do something like this
1:03 where I say thing_colors is equal to apples is red and pumpkin is orange
1:08 and more_colors is equal to,
1:10 and then I make a literal dictionary but inside of that I put ** thing_colors in there.
1:15 What that does is it unpacks the keys and values from that dictionary
1:18 and copies them into more_colors.
1:21 After that, I'm going to insert bike is blue and apple is green,
1:24 note that apple here is a repeated key
1:28 and so because this apple comes after, where after means further to the right
1:34 in my literal dictionary here, then this apple mapping to green
1:38 will overwrite the apple that is red.
1:42 But note that in more colors here, I have pumpkin as orange in there.
1:47 Also note that Python 3.6 the order of dictionary insertion is remembered
1:52 apple was the first key that I put in followed by pumpkin
1:57 and note that in more colors apple is first, pumpkin is second and then bike is third,
2:01 because this key was already in there, it stayed in the first position,
2:04 even though the value is updated.
2:07 So an unpack can be in any location in the dictionary
2:10 in the previous example, it was at the very start
2:12 but it can be at the end or you can have actually multiple unpacks in a dictionary
2:18 Here I say bike is blue, apple is green
2:21 and then we're going to unpack thing_colors in there,
2:24 in this case the apple that's red from there overrides the apple that is green.
2:29 But note that bike and apple are in first and second position
2:33 because they were in the original dictionary.
2:36 Another nice feature of this change is
2:39 it allows us to have multiple ** operations in function calls here.
2:43 Note that here I'm calling this function print args,
2:46 which takes variable number of keyword arguments
2:49 and I'm saying I want to pass in thing_colors
2:53 unpacked and also more_colors unpacked.
2:55 This one didn't work prior to Python 3.5,
2:58 but in Python 3.5 and above you can do syntax like this
3:01 and note that I'm putting in another named parameter here
3:05 with a value in between those.
3:07 One thing to be aware of though, is that you can't repeat names in a call.
3:11 So this might be a gotcha here.
3:13 Here I've got thing colors and I've got apple is red here,
3:16 I've also got more colors apple is green
3:19 and if I call this with thing_colors and more_colors with these repeated keys,
3:23 I get a type error. In the prior example on the previous slide,
3:27 I didn't repeat that apple key and so I didn't get this error.
3:31 So this is something you might need to be aware of if you're repeating those.
3:34 Simple way to get around that is just to merge those dictionaries
3:38 before calling them in there, that's something that might happen.
3:41 So that's the ** operation that allows us to unpack into dictionaries
3:46 and also use unpacking and function calls in more than one place if we want to.
3:51 Let's look at the single star, single star allows us to create tuples.
3:55 So here I've got name is equal to Matt.
3:58 Remember that the string Matt is a sequence of characters here.
4:03 And if I say *name, with a comma at the end here,
4:08 it's going to give me back a tuple.
4:10 Note that I'm not doing this extended unpack operation,
4:13 there's no assignment here, so this is slightly different than the prior examples
4:18 where I would get back a list,
4:20 but this is saying I want you to take what's in the sequence and stick it into a tuple.
4:24 This is also a case where you might need a comma
4:27 if I have name is equal to Matt and I just say *name on itself,
4:31 I get this error here, syntax error, can't use a star expression here.
4:35 Here, I've got some examples of various ways we can use star expressions
4:39 and know that by default, these return a tuple
4:43 and I can actually string these together by putting a comma
4:46 and use multiple of them and here I have a tuple,
4:49 note that there's parentheses here
4:52 with all of the characters from name and last in there,
4:55 if I wanted to put those into a list,
4:58 I just put square brackets around those and that puts it into a list.
5:03 Similarly, I can put it into a set, note that a set is not ordered,
5:06 so the order comes out a little different than what the order is in name and last.
5:12 Here I've got a little function called summer
5:14 that just takes variable arguments and variable keyword arguments
5:17 and it's going to sum all the arguments that are passed in in positional locations
5:22 and it's also going to sum all the values
5:24 so it's not doing very much, it just accepts arbitrary number of arguments
5:27 and sums them if they are positional or values in keyword arguments,
5:33 let's look at some examples of calling this,
5:36 I can call it with 1, 2, 3, any number of positional arguments and it gives me 6.
5:40 I can also call it with star list here and then a three following that,
5:45 and that's fine, Python 3.5 and above doesn't complain about that.
5:50 Note that I can also have multiple stars here and this can be a list here,
5:54 it can be any sequence here, and I can have
5:58 however many stars I want to in that, if I want to,
6:00 and here I'm calling it with a star, a positional parameter
6:03 unpacking a dictionary here, a keyword parameter here
6:08 and another unpacked dictionary over here and that works as well.
6:13 Little bit of the difference between this syntax
6:15 and the extended unpacking that we showed in another video,
6:19 here I've got name is equal to the string Matt.
6:21 I can do the extended unpacking by doing an assignment here on the left-hand side
6:26 by saying *letters, I need the comma at the end there is equal to name
6:31 that makes a new variable called letters
6:33 and it is a list with the individual characters in it.
6:36 Note that in this unpacking generalization,
6:39 which is different than the extended unpacking defined in this pep here,
6:43 I am not putting this on the left-hand side,
6:45 I need to put it on the right hand-side,
6:47 I put a star in front of it, a comma at the end
6:50 and I assign it to a variable and it gives me back a tuple here.
6:54 So a little bit of a difference between those two,
6:56 if you need to create a list you can use this extended unpacking.
7:01 Note that if I simply put square brackets around that
7:04 I will also get a list on the second example.
7:08 This video talked about additional unpacking generalizations, which is pretty cool.
7:13 If you want to create dictionaries from other dictionaries
7:17 or merge dictionaries or create tuples or lists or sets from sequences,
7:21 you can easily do this with this new syntax.
7:24 You can also pass in multiple unpacking operations into function calls,
7:29 which is cool as well.