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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:01,170 --> 00:00:07,170 Now that you know what the dynamically typed programming language is, let's see what basic data types 2 00:00:07,170 --> 00:00:08,490 we have in Python. 3 00:00:09,150 --> 00:00:14,670 The type will be associated with the value stored in the variable at runtime. 4 00:00:14,850 --> 00:00:22,440 Will quickly discuss the main python data types and then our focus will go into more detail about each 5 00:00:22,440 --> 00:00:23,040 of them. 6 00:00:23,520 --> 00:00:26,700 These are all the python built in data types. 7 00:00:27,930 --> 00:00:37,860 Numbers which are integers or whole numbers in the floating point numbers, or simply floats booleans, 8 00:00:38,010 --> 00:00:43,170 which represent logical values indicating a true or false. 9 00:00:43,710 --> 00:00:47,130 In Python there are two boolean constants defined. 10 00:00:48,090 --> 00:00:48,630 True. 11 00:00:48,660 --> 00:00:53,010 Always written with uppercase D and false. 12 00:00:53,400 --> 00:00:55,710 Written with uppercase F. 13 00:00:56,190 --> 00:01:00,720 Most of the time, booleans are used to test different conditions. 14 00:01:04,050 --> 00:01:05,250 Let's see an example. 15 00:01:10,750 --> 00:01:14,920 Age equals 40 and the name equals then. 16 00:01:15,310 --> 00:01:16,720 And I'm printing. 17 00:01:17,480 --> 00:01:19,520 X equals equals 40. 18 00:01:20,960 --> 00:01:24,470 This statement will return a boolean value. 19 00:01:27,240 --> 00:01:32,790 It returned true or print x greater than 20. 20 00:01:35,320 --> 00:01:37,330 It returned true as well. 21 00:01:38,600 --> 00:01:40,340 Or print name. 22 00:01:40,340 --> 00:01:41,720 Equals equals. 23 00:01:42,140 --> 00:01:42,860 Andre. 24 00:01:44,320 --> 00:01:46,900 This statement will return false. 25 00:01:49,540 --> 00:01:53,200 And this one print lane of name. 26 00:01:55,380 --> 00:01:56,820 Not equals ten. 27 00:01:57,360 --> 00:02:04,950 I am testing if the length of the name variable is not equal to ten and it will return true. 28 00:02:07,710 --> 00:02:12,870 Note that in Python there is also another constant called none. 29 00:02:14,000 --> 00:02:21,680 This is frequently used to represent the absence of a value as when some arguments are not passed to 30 00:02:21,680 --> 00:02:27,920 a function, or when a function does not return something explicitly and returns none. 31 00:02:30,210 --> 00:02:33,450 Let's move to the next data type strings. 32 00:02:33,480 --> 00:02:38,850 Are ordered sequences of characters encoded using UTF eight. 33 00:02:39,810 --> 00:02:44,400 Lists are ordered mutable sequences of objects. 34 00:02:45,530 --> 00:02:53,990 To create a list, use the name of the list equals and the pair of square brackets and the square brackets. 35 00:02:53,990 --> 00:02:57,740 The elements of the list separated with commas. 36 00:02:58,940 --> 00:03:03,500 A list can contain any type of elements, a string. 37 00:03:04,590 --> 00:03:05,640 An integer. 38 00:03:06,630 --> 00:03:07,650 A float. 39 00:03:07,890 --> 00:03:09,270 A boolean value. 40 00:03:09,600 --> 00:03:11,280 Or another list. 41 00:03:22,430 --> 00:03:24,650 Another datatype is the table. 42 00:03:24,920 --> 00:03:29,750 Toppers are ordered immutable sequences of objects. 43 00:03:30,860 --> 00:03:36,590 By the way, an object whose internal state can be changed is mutable. 44 00:03:36,740 --> 00:03:43,850 On the other hand, immutability doesn't allow any change in the object once it has been created. 45 00:03:44,690 --> 00:03:45,710 Let's move on. 46 00:03:45,860 --> 00:03:50,930 Sex are mutable collections of unordered unique objects. 47 00:03:51,230 --> 00:03:58,320 And there are also frozen sex which are immutable collections of unordered unique objects. 48 00:03:58,340 --> 00:04:03,710 And finally, dictionaries are collections of unordered key value pairs. 49 00:04:04,340 --> 00:04:09,080 We've seen the main data types of Python core programming language. 50 00:04:09,080 --> 00:04:15,140 In the next lectures, we'll take a closer look at each of them and discuss them in depth. 4335

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