1 00:00:01,200 --> 00:00:02,090 Hey everybody. 2 00:00:02,100 --> 00:00:04,170 Welcome back to the coding Party. 3 00:00:04,190 --> 00:00:06,680 Mark Price here at death's slopes dot com. 4 00:00:06,720 --> 00:00:14,340 And today we're going to talk about dictionaries and what I'd like you to do before we start is actually 5 00:00:14,340 --> 00:00:23,070 do me a favor and do a google search type in how do hash tables work in computer science how to hash 6 00:00:23,070 --> 00:00:28,470 tables work in computer science and go read some articles and start getting an idea of what a hash table 7 00:00:28,470 --> 00:00:33,510 is and then posits video and go do that and come back here like in 15 minutes because I want you to 8 00:00:33,510 --> 00:00:35,330 have a base foundation. 9 00:00:35,870 --> 00:00:36,840 Did you do that. 10 00:00:36,900 --> 00:00:39,390 I'm sure you didn't because now you listen to me. 11 00:00:39,390 --> 00:00:43,400 Until you start getting those job interviews and then they're like how does this work in you're like 12 00:00:43,650 --> 00:00:48,600 Mark you're right this whole time I should have been listening to what I just said and read about this 13 00:00:48,600 --> 00:00:49,670 and this and that and that. 14 00:00:49,680 --> 00:00:52,960 But instead I just was hoping that you had a video on it and to whole. 15 00:00:53,010 --> 00:00:54,700 But anyway I went to read it and I got the job. 16 00:00:54,820 --> 00:00:57,100 That's always happens. 17 00:00:57,100 --> 00:00:57,700 Don't listen to me. 18 00:00:57,720 --> 00:00:59,580 Listen to me whatever. 19 00:00:59,600 --> 00:01:01,160 Do whatever you want your life. 20 00:01:01,170 --> 00:01:01,630 All right. 21 00:01:01,770 --> 00:01:07,980 So I'm creating a new playground here and we're going to call this one dictionary. 22 00:01:08,420 --> 00:01:15,840 Dictionaries so in swift a hash table it's called the dictionary and in different languages the hash 23 00:01:15,840 --> 00:01:20,260 tables are hash maps or in this case dictionary here. 24 00:01:20,760 --> 00:01:24,460 And I'm going to go ahead and store this in my dictionaries folder. 25 00:01:25,160 --> 00:01:26,000 OK. 26 00:01:26,610 --> 00:01:32,010 There's our playground and I'm a pull up in this nice little info graphic that Apple has created. 27 00:01:32,070 --> 00:01:36,400 So there are three major collection types in swift. 28 00:01:36,570 --> 00:01:41,020 We have the array OK which is which is in an ordered set. 29 00:01:41,430 --> 00:01:48,960 Excuse me an ordered list of items and you can have multiple values of the same type in an array. 30 00:01:48,960 --> 00:01:55,260 So for instance index 0 can have let's say the word 6 eggs but also index 5 can have the exact same 31 00:01:55,260 --> 00:01:57,290 word six makes doesn't matter. 32 00:01:57,420 --> 00:02:00,510 OK a linear list ordered items. 33 00:02:00,510 --> 00:02:01,130 OK. 34 00:02:01,470 --> 00:02:03,130 Now we've got something called the set. 35 00:02:03,210 --> 00:02:11,490 Now a set is has items that should only have one type of value meaning the values need to be unique 36 00:02:11,700 --> 00:02:12,600 but they're not ordered. 37 00:02:12,720 --> 00:02:14,250 OK but they are unique. 38 00:02:14,790 --> 00:02:17,070 And then we've got this cool thing here called the dictionary. 39 00:02:17,070 --> 00:02:19,840 Now you're going to use dictionaries and arrays more than you are sets. 40 00:02:19,860 --> 00:02:26,250 When you're working with swift The dictionary has keys and values and we're going to have an example 41 00:02:26,250 --> 00:02:30,460 similar to this today basically where the key is of a certain type. 42 00:02:30,600 --> 00:02:35,640 And then there is a value that's related to that key so that the values can all be the values can be 43 00:02:35,940 --> 00:02:41,110 the same as the other values of the other keys but the keys must always be unique. 44 00:02:41,310 --> 00:02:41,610 OK. 45 00:02:41,610 --> 00:02:43,350 And these this is not ordered. 46 00:02:43,350 --> 00:02:44,150 OK. 47 00:02:44,220 --> 00:02:50,250 And there are actually very complex and efficient algorithms algorithms working under the hood that 48 00:02:50,430 --> 00:02:52,560 help you retrieve and fetch items. 49 00:02:52,560 --> 00:02:55,950 Imagine if you had a dictionary that had a million keys in it. 50 00:02:55,980 --> 00:02:59,350 You know it's not going to go through the entire list of keys. 51 00:02:59,360 --> 00:03:04,470 OK it's going to start breaking things down and segregating out sections until it finds the key and 52 00:03:04,470 --> 00:03:05,160 the fastest route. 53 00:03:05,160 --> 00:03:07,630 Very complex things going underneath the hood. 54 00:03:07,680 --> 00:03:12,520 Again if you do that search I told you too on how the hash tables work. 55 00:03:12,570 --> 00:03:17,370 There's some amazing YouTube videos on how this actually works underneath the hood if you're into that 56 00:03:17,370 --> 00:03:18,140 kind of thing. 57 00:03:18,300 --> 00:03:22,830 And anyway so we're going to be working with the dictionary today and we're going to work with keys 58 00:03:22,890 --> 00:03:23,670 and values. 59 00:03:23,710 --> 00:03:24,080 OK. 60 00:03:24,090 --> 00:03:28,000 So this is straight out of the Swift books with three e-book. 61 00:03:28,020 --> 00:03:30,250 Very important that you read that book. 62 00:03:30,570 --> 00:03:32,510 Of course I've said that before. 63 00:03:32,550 --> 00:03:34,470 And here we go. 64 00:03:34,560 --> 00:03:43,390 We're going to create our first dictionary names of us and I want I want you to do names of integers. 65 00:03:43,530 --> 00:03:53,010 Let's say we want a dictionary that lets us give a word a visual word that you can print out for a number 66 00:03:53,010 --> 00:03:58,680 type meaning like let's say I want the number three to say the word Three things like that. 67 00:03:58,680 --> 00:04:08,790 So what I can do is I can say names of integers equal or subscript here the square brace here and we're 68 00:04:08,790 --> 00:04:14,740 going to say three equals three. 69 00:04:14,750 --> 00:04:15,790 Now I know what you're thinking. 70 00:04:15,890 --> 00:04:17,860 Oh this is just like an array. 71 00:04:17,930 --> 00:04:19,700 This is like the third index right. 72 00:04:19,700 --> 00:04:21,280 No it is not. 73 00:04:21,290 --> 00:04:22,280 No it is not. 74 00:04:22,280 --> 00:04:26,940 This is actually the name of the key I just made the names of the keys of type int. 75 00:04:26,950 --> 00:04:32,030 OK this has nothing to do actually with an array it's not a subscript in that. 76 00:04:32,060 --> 00:04:34,220 You're grabbing an ordered amount of items. 77 00:04:34,220 --> 00:04:34,620 OK. 78 00:04:34,700 --> 00:04:39,310 This is just happened to be what I type I chose for the key. 79 00:04:39,320 --> 00:04:41,930 This could also have been a string here which is interesting. 80 00:04:41,960 --> 00:04:46,430 So this is a simple example of your very first dictionary. 81 00:04:46,430 --> 00:04:50,630 And what we're doing here is we're just creating one on the fly. 82 00:04:50,750 --> 00:04:52,640 Initializing it using type inference. 83 00:04:52,640 --> 00:04:53,100 OK. 84 00:04:53,240 --> 00:04:57,770 We're creating a dictionary with a key of type and and a value of type string. 85 00:04:57,780 --> 00:05:02,030 I would not be able to do something like this and put a 3 in here. 86 00:05:02,040 --> 00:05:02,710 OK. 87 00:05:02,720 --> 00:05:10,460 Because the value needs to be a string cannot assign value of type it to string cast of keys and values. 88 00:05:10,520 --> 00:05:16,250 All of this may look familiar to you if you've worked with the race names of integers or see one more. 89 00:05:16,520 --> 00:05:23,220 And let's say 44 equals forty four. 90 00:05:23,320 --> 00:05:23,880 OK. 91 00:05:23,960 --> 00:05:31,210 The idea behind this dictionary is there's a unique key and then there's a value a word value for that 92 00:05:31,210 --> 00:05:33,940 we're just explaining in words so simple example. 93 00:05:34,280 --> 00:05:38,490 If you want to click quickly clear out a dictionary empty all the items out of it. 94 00:05:38,600 --> 00:05:41,870 It's as easy as doing this. 95 00:05:42,560 --> 00:05:43,130 OK. 96 00:05:43,310 --> 00:05:48,680 Square braces colon square braces it's going to clean out all of your keys and all of your values. 97 00:05:49,100 --> 00:05:50,070 Nice and new. 98 00:05:50,440 --> 00:05:53,980 Let's do a more real world example let's say we have an app. 99 00:05:54,280 --> 00:05:55,020 OK. 100 00:05:55,610 --> 00:05:59,750 And let's talk about airports of the world we want to have an app has all the airports of the world 101 00:05:59,750 --> 00:06:05,000 well every airport can only have one unique airport code. 102 00:06:05,000 --> 00:06:11,060 Imagine if airports had the same airport codes it would be crazy like imagine if Ireland had an LAX 103 00:06:11,300 --> 00:06:16,900 Los Angeles had an L.A. X you know and Dubai hadn't lax it wouldn't work and it would mess things up 104 00:06:16,910 --> 00:06:22,880 so luckily we have unique airport codes that we can use throughout the world and each one has its own 105 00:06:22,880 --> 00:06:24,160 name its own unique name. 106 00:06:24,180 --> 00:06:29,180 And you know what maybe the airport codes are different and maybe two airports can have the exact same 107 00:06:29,180 --> 00:06:32,900 name but that wouldn't matter because it has its unique code and that's the most important thing. 108 00:06:32,960 --> 00:06:34,120 But we still need the name. 109 00:06:34,280 --> 00:06:38,310 So that's the advantage of using dictionaries is the Keys have to be unique. 110 00:06:38,480 --> 00:06:42,690 They have to be let's do that now to create our dictionary sort of our airports. 111 00:06:42,980 --> 00:06:48,110 And this is going to be of type string so we're going to do it in explicitly declared dictionary. 112 00:06:48,110 --> 00:06:52,310 So the key is of type string and the value is of type string. 113 00:06:52,340 --> 00:06:54,840 Now let's go ahead and initialize it here right off the bat. 114 00:06:54,890 --> 00:07:00,560 So we're going to create some dictionary literals here that we're initialising right when we declare 115 00:07:00,590 --> 00:07:01,280 as well. 116 00:07:01,490 --> 00:07:03,140 So Toronto 117 00:07:06,240 --> 00:07:06,800 can. 118 00:07:07,120 --> 00:07:14,470 So we've just created a dictionary that comes preloaded with one element in it or one key value combination. 119 00:07:14,470 --> 00:07:18,720 But we want to do more so we're going to put a comma here and L.A.. 120 00:07:18,880 --> 00:07:19,560 OK. 121 00:07:19,880 --> 00:07:25,160 And what we're going to do is say loss or Los Angeles. 122 00:07:25,470 --> 00:07:26,430 OK. 123 00:07:27,340 --> 00:07:28,420 Pretty cool actually. 124 00:07:28,420 --> 00:07:33,130 Los Angeles say international. 125 00:07:33,750 --> 00:07:34,340 OK. 126 00:07:34,460 --> 00:07:36,970 So I actually did not go there. 127 00:07:36,990 --> 00:07:38,120 There we go. 128 00:07:38,640 --> 00:07:39,200 OK. 129 00:07:39,310 --> 00:07:41,320 So what is happening here. 130 00:07:41,380 --> 00:07:43,810 So we put in the key name first and then a colon. 131 00:07:43,810 --> 00:07:44,140 OK. 132 00:07:44,190 --> 00:07:48,910 The colon separates the keys and the values of the key name goes first the call and then the value the 133 00:07:48,910 --> 00:07:52,720 comma separates the elements or the combinations. 134 00:07:52,720 --> 00:07:54,670 So this is one key value combination. 135 00:07:54,670 --> 00:07:56,860 This is a second and it's separated by a comma. 136 00:07:56,860 --> 00:08:04,840 So key name colon value comma key named colon value comma key name call and value comma. 137 00:08:05,410 --> 00:08:12,460 And we didn't have to explicitly declare it like so we could have used type inference and it should 138 00:08:12,460 --> 00:08:18,770 just work out of the box for us indicating that yes this is a string key and this is a string value. 139 00:08:18,820 --> 00:08:19,450 Pretty cool. 140 00:08:19,540 --> 00:08:24,130 So now we've got our dictionary full of airports and there's some of the other things we can do with 141 00:08:24,130 --> 00:08:25,080 this. 142 00:08:25,660 --> 00:08:31,340 We can print the Air Force dictionary has. 143 00:08:31,870 --> 00:08:44,030 Let's you some string interpellation airports rockhound airport or Osei element's items. 144 00:08:44,800 --> 00:08:52,190 OK let's make this a little bigger here so you can see this area. 145 00:08:52,500 --> 00:08:54,430 Put the quotation to soon. 146 00:08:54,540 --> 00:08:56,570 So the airport's dictionary has two items. 147 00:08:56,570 --> 00:08:57,080 Is that true. 148 00:08:57,100 --> 00:09:02,410 Well yes it is one and two guys so you can get the count of a dictionary. 149 00:09:02,800 --> 00:09:04,240 And what else can we do. 150 00:09:04,650 --> 00:09:09,800 If airports is empty you can see if it's empty or not. 151 00:09:09,910 --> 00:09:17,080 To Trent the airport's dictionary is empty. 152 00:09:17,690 --> 00:09:17,960 OK. 153 00:09:18,010 --> 00:09:19,290 So you can check if it's empty. 154 00:09:19,330 --> 00:09:24,360 The simple little came in and you're probably wondering well how do I add new items to a dictionary. 155 00:09:24,400 --> 00:09:30,490 Well since we're not making an ordered array where an element goes onto the back of the list we're inserting 156 00:09:30,490 --> 00:09:32,260 at a certain place we don't care about that. 157 00:09:32,260 --> 00:09:33,940 All we care about is the unique key. 158 00:09:34,060 --> 00:09:37,630 So we can just say airports let's add a new one. 159 00:09:37,630 --> 00:09:41,360 LHR equals London. 160 00:09:42,280 --> 00:09:47,500 So what we're doing here is we're setting LHR. 161 00:09:47,500 --> 00:09:54,020 This is the key name OK we're setting that unique key key value to be of the value of the type not type 162 00:09:54,030 --> 00:09:55,630 but the value to be London. 163 00:09:55,630 --> 00:09:56,120 OK. 164 00:09:56,260 --> 00:10:00,130 So the unique key LHR is going to be equal to London. 165 00:10:00,130 --> 00:10:00,770 Okay. 166 00:10:00,820 --> 00:10:03,320 And we just added a new element at this point in time. 167 00:10:03,700 --> 00:10:09,820 Okay well what if we want to update this or overwrite it it's just as simple as doing the exact same 168 00:10:09,820 --> 00:10:10,730 thing. 169 00:10:11,260 --> 00:10:12,960 Okay. 170 00:10:16,670 --> 00:10:21,110 So what we did here was whatever was in that spot we have now overwritten it's gone. 171 00:10:21,230 --> 00:10:22,920 So that's how you replace elements. 172 00:10:22,930 --> 00:10:27,200 That's also how you update elements didn't matter if one of these key names existed before or not. 173 00:10:27,200 --> 00:10:31,570 No it does not matter because it will be created the moment you assign it there. 174 00:10:31,730 --> 00:10:32,390 OK. 175 00:10:32,390 --> 00:10:36,770 So if you're thinking well if there's nothing in there and I tried to assign something to it it's going 176 00:10:36,770 --> 00:10:37,720 to give me an air. 177 00:10:37,730 --> 00:10:38,590 That's not the case. 178 00:10:38,720 --> 00:10:42,270 Unlike in an array where if you try and grab an item that doesn't exist. 179 00:10:42,410 --> 00:10:44,130 Ok you get the crash you know. 180 00:10:44,150 --> 00:10:45,190 It's different here. 181 00:10:45,350 --> 00:10:46,380 OK. 182 00:10:47,530 --> 00:10:52,760 What else let's say airport loads up here. 183 00:10:54,520 --> 00:10:55,180 All right. 184 00:10:55,450 --> 00:10:57,810 Say airports. 185 00:10:58,320 --> 00:11:01,730 Create a new one dev equals slopes International. 186 00:11:01,750 --> 00:11:05,130 And you guys know that deps slopes has its own airport now. 187 00:11:05,590 --> 00:11:09,160 And we have Wi-Fi and roller coasters and birthday cakes. 188 00:11:09,180 --> 00:11:10,410 Really cool. 189 00:11:11,170 --> 00:11:15,640 And then we realized it was a dream and it doesn't exist so how do we actually remove an item completely 190 00:11:15,640 --> 00:11:22,180 we want to go on key and everything because there is no there Loeb's airport with cakes and Wi-Fi and 191 00:11:22,180 --> 00:11:24,130 roller coasters would be cool. 192 00:11:24,130 --> 00:11:25,640 We probably had a draft in there too. 193 00:11:25,750 --> 00:11:27,320 But my dreams are now crushed. 194 00:11:27,450 --> 00:11:31,850 So airports dev. 195 00:11:31,960 --> 00:11:32,840 Neal. 196 00:11:33,250 --> 00:11:36,290 You can set it to nil which will completely destroy and remove the item. 197 00:11:36,340 --> 00:11:38,570 It is gone. 198 00:11:39,190 --> 00:11:43,120 So I hope you're starting to see oh I can work with keys and values they're unique. 199 00:11:43,120 --> 00:11:44,530 I can do different things with them. 200 00:11:44,590 --> 00:11:45,750 You're going to use these a lot. 201 00:11:45,820 --> 00:11:47,670 Hey we're just scratching the surface here. 202 00:11:47,680 --> 00:11:53,500 You can also iterate through through an a dictionary which is cool as well. 203 00:11:53,530 --> 00:11:56,320 You can get all the keys and values out of it which we'll do right now. 204 00:11:56,400 --> 00:12:08,120 So House today here for each airport code an airport name in airports. 205 00:12:08,300 --> 00:12:08,500 OK. 206 00:12:08,510 --> 00:12:10,870 So what we're doing here is a four inch loop. 207 00:12:10,880 --> 00:12:11,510 OK. 208 00:12:11,750 --> 00:12:16,550 And the for loop in this case in the dictionary it's giving us what's called a tuple. 209 00:12:16,820 --> 00:12:24,830 OK a tuple is a data type or a data construct that has one or more elements in it. 210 00:12:24,980 --> 00:12:28,550 OK so it's returning as a tuple you don't have to remember that just know how to use this. 211 00:12:28,610 --> 00:12:29,180 OK. 212 00:12:29,420 --> 00:12:35,780 And what it's going to do is it's going to pass in the key name and the value could also have said key 213 00:12:36,500 --> 00:12:37,490 and Val. 214 00:12:37,590 --> 00:12:37,940 OK. 215 00:12:37,940 --> 00:12:38,970 Same exact thing. 216 00:12:39,050 --> 00:12:44,150 So it's going to give us the key name and the value and it's going to go through the entire dictionary 217 00:12:44,180 --> 00:12:45,100 on each one of those. 218 00:12:45,110 --> 00:12:49,970 And there is an algorithm that goes underneath the hood that's efficient and grabbing this information 219 00:12:50,450 --> 00:12:53,450 although not as efficient as other ways of accessing information. 220 00:12:53,450 --> 00:12:59,480 In most cases in many cases you don't want to iterate through an entire list of dictionaries if you 221 00:12:59,480 --> 00:13:05,210 want to iterate through a list of something you know maybe an array is better data structure. 222 00:13:05,360 --> 00:13:10,630 You can definitely go through here and I have before so I'll say airport code. 223 00:13:10,820 --> 00:13:11,410 All right. 224 00:13:11,480 --> 00:13:17,800 And then we'll put up the last colon here and then we're going to say airport name. 225 00:13:18,330 --> 00:13:18,800 OK. 226 00:13:19,040 --> 00:13:24,060 So we're just going to go through and print the code in the name or the key and the value. 227 00:13:24,060 --> 00:13:24,630 And here it is. 228 00:13:24,640 --> 00:13:26,860 There is the key there is the value. 229 00:13:26,930 --> 00:13:31,680 There's the key there is the value key and value OK. 230 00:13:31,880 --> 00:13:33,930 Looking good that is good. 231 00:13:34,340 --> 00:13:34,730 All right. 232 00:13:34,730 --> 00:13:39,940 So there's our airport to airport name perfect. 233 00:13:40,450 --> 00:13:41,250 What else can we do. 234 00:13:41,260 --> 00:13:49,360 We can also just do the keys and values individually so for each airport code or we can even just say 235 00:13:49,360 --> 00:13:55,780 for each key an air port Stuckey's so you can print up the keys right. 236 00:14:01,740 --> 00:14:02,640 We can pass in the key 237 00:14:06,370 --> 00:14:14,840 pretty cool and we can also do the same thing with the values for each vowel in airports values values 238 00:14:14,860 --> 00:14:19,630 no valid just a variable that I've created a constant. 239 00:14:20,560 --> 00:14:20,860 You 240 00:14:24,590 --> 00:14:26,960 and organised pass and ballet here. 241 00:14:27,220 --> 00:14:31,050 OK so value value value so you can work with kids and values. 242 00:14:31,130 --> 00:14:33,330 The kids are unique. 243 00:14:33,510 --> 00:14:38,270 Mostly most of the time you're going to work with strings here and you're in your data types you can 244 00:14:38,270 --> 00:14:39,280 play around with other things. 245 00:14:39,290 --> 00:14:44,060 But one of the big uses of dictionaries is when you're working with Jason data that you're getting from 246 00:14:44,060 --> 00:14:48,560 the Internet it's going to come down in a bundle just on file and you're going to grab things by keys 247 00:14:48,560 --> 00:14:55,780 and values because Jason is very much similar to the notion of of dictionary keys and values. 248 00:14:55,910 --> 00:14:59,880 And if you don't know what I'm talking about let's just take a look at it right here. 249 00:14:59,930 --> 00:15:05,790 We can go to a Star Wars API that's this free API this one is created on the Internet. 250 00:15:05,820 --> 00:15:08,910 It has lots of information on it. 251 00:15:09,410 --> 00:15:11,560 And so right here it's pulling up some Jaison this one. 252 00:15:11,570 --> 00:15:13,040 Luke Skywalker. 253 00:15:13,040 --> 00:15:20,510 And so this is a dictionary where the keys are of type string. 254 00:15:20,510 --> 00:15:23,480 So here's a key called name of type string. 255 00:15:23,480 --> 00:15:28,710 So name the string Luke Skywalker the value type of this one is a string. 256 00:15:29,030 --> 00:15:32,630 Let's find one that's not a string here. 257 00:15:32,630 --> 00:15:34,910 These are all strings on here. 258 00:15:34,910 --> 00:15:40,580 Let's look at some of their other API features to show you how it's going to kind of translate in your 259 00:15:40,580 --> 00:15:41,210 code. 260 00:15:45,180 --> 00:15:46,090 Israel strings as well. 261 00:15:46,090 --> 00:15:47,120 They could also been numbers. 262 00:15:47,120 --> 00:15:55,380 This this company or this person chose to put all the values in as strings instead of numbers so that's 263 00:15:55,380 --> 00:16:00,180 really important to to understand is when you download information from the internet or Jason you have 264 00:16:00,180 --> 00:16:02,400 to abide by whatever they have created for you. 265 00:16:02,400 --> 00:16:08,310 So whereas I may have put this as a number in integer they chose to use a string for both the key and 266 00:16:08,310 --> 00:16:08,690 the value. 267 00:16:08,690 --> 00:16:10,930 There's another API that I like to work with as well. 268 00:16:11,220 --> 00:16:19,030 Hoquiam on our active pokie API OK another one that somebody put up which is kind of cool. 269 00:16:19,590 --> 00:16:21,830 And here's one perfect example so. 270 00:16:22,060 --> 00:16:24,500 So this is a dictionary object right. 271 00:16:24,660 --> 00:16:27,270 And the keys are all strings. 272 00:16:27,270 --> 00:16:29,480 But in this case the key is. 273 00:16:29,530 --> 00:16:35,310 So the key ID has a value that's a number it's an integer and base experience is an integer. 274 00:16:35,310 --> 00:16:38,010 Height is an integer is default is a boolean. 275 00:16:38,010 --> 00:16:41,260 So you can have a boolean value type. 276 00:16:41,490 --> 00:16:44,760 So this is this is interesting to look at this one on this one. 277 00:16:44,760 --> 00:16:52,020 The key name is a string but the value is an array. 278 00:16:52,020 --> 00:16:52,980 That's really interesting. 279 00:16:52,980 --> 00:16:54,240 Can we do that with swift. 280 00:16:54,240 --> 00:16:57,100 Like let's say we wanted to create abilities. 281 00:16:57,150 --> 00:16:58,390 That's really interesting. 282 00:16:58,590 --> 00:17:03,030 Let's give it a shot or it's var let's say abilities. 283 00:17:03,150 --> 00:17:04,560 Me a dictionary right. 284 00:17:04,590 --> 00:17:15,890 So the dictionary or the bill t's dictionary is going to be a dictionary of type string. 285 00:17:16,080 --> 00:17:23,160 And then what we're going to do is we're going to say an array and the array is going to be an array 286 00:17:23,160 --> 00:17:26,240 of what can be an array of dictionaries right. 287 00:17:26,670 --> 00:17:35,270 So let's see what it does here of type string and string. 288 00:17:35,270 --> 00:17:40,050 I'm just curious where the syntax is wrong here. 289 00:17:40,490 --> 00:17:47,780 But anyway my point here is you can have. 290 00:17:48,650 --> 00:17:52,750 You can have different items inside of your dictionaries. 291 00:17:52,760 --> 00:17:54,060 OK. 292 00:17:54,650 --> 00:18:03,710 Such as a boolean in OK you can do all kinds of different things with your dictionary so it doesn't 293 00:18:03,710 --> 00:18:06,740 have to just be strings and integers. 294 00:18:07,070 --> 00:18:10,280 So lots of cool stuff. 295 00:18:10,400 --> 00:18:12,280 This is just scratching the surface here. 296 00:18:12,410 --> 00:18:12,940 OK. 297 00:18:12,980 --> 00:18:17,420 Just touching the surface if you want to get a better synopsis of how dictionaries work again do that 298 00:18:17,420 --> 00:18:22,510 Google search I told you about how to hash tables work in computer science you can also go look at Jaison 299 00:18:22,510 --> 00:18:23,730 and start getting a feel. 300 00:18:23,760 --> 00:18:24,930 And I said based on that. 301 00:18:24,940 --> 00:18:31,320 J.S. Oh and get a feel of how things work with with weather and how it might translate to your. 302 00:18:31,880 --> 00:18:32,860 And that's it. 303 00:18:32,870 --> 00:18:34,180 Lots of good information. 304 00:18:34,460 --> 00:18:35,210 So good old man. 305 00:18:35,280 --> 00:18:39,080 And let's move on and forward price down slopes dotcom at CNN.