WEBVTT 00:00.080 --> 00:00.920 Welcome back. 00:00.920 --> 00:06.200 We learned about variables and we run the cell and get this output. 00:06.400 --> 00:11.560 Now let's move to the second lesson which is the basic data types. 00:11.840 --> 00:15.280 Python has several built in data types. 00:15.280 --> 00:20.520 The most common ones are integer, float, string, and boolean. 00:20.640 --> 00:25.600 In any programming language, data type is an important concept. 00:25.760 --> 00:31.440 Variables can store data of different types and different types can do different things. 00:31.480 --> 00:40.560 Python has many data types, for example string, int float, complex list, tuple range, dictionary 00:40.760 --> 00:47.440 set, frozenset, bool, non-type bytes, byte array, memory view, and others. 00:47.440 --> 00:52.120 You can get the data type of any object by using type function. 00:52.120 --> 00:57.120 Here we have the integer, float, string, and boolean. 00:57.160 --> 01:03.080 Those are the most common variable and variable types in data types. 01:03.080 --> 01:11.580 In Python, integer is used for integer numbers like 42, minus three, 1000, and others. 01:11.820 --> 01:18.500 Float, which is used for decimal numbers 3.14, 2.0, -0.5. 01:18.700 --> 01:21.460 String used for texts or strings. 01:21.620 --> 01:23.180 Hello world! 01:23.180 --> 01:28.220 You can write them both types and Boolean used for true or false. 01:28.220 --> 01:32.780 You can check the type of each variable using the type function. 01:32.780 --> 01:40.220 Let me run this and you will get the first variable name which is string. 01:40.220 --> 01:43.620 If we go up, we created those variables. 01:43.620 --> 01:45.940 The name is of type string. 01:46.100 --> 01:50.220 The age of type, an integer height Boolean. 01:50.940 --> 01:54.620 It's a decimal and a student is a boolean. 01:54.620 --> 01:58.180 So we have string, int, float and boolean. 01:58.220 --> 02:06.300 Okay, this is how we check for the type of each variable in Python using the type function. 02:06.300 --> 02:10.380 Also we can use Python variable casting. 02:10.540 --> 02:15.420 There are many times when you want to specify a type on a variable. 02:15.420 --> 02:17.500 This can be done with casting. 02:17.540 --> 02:24.570 Python is an object oriented language and as such it uses classes to define data types, including its 02:24.570 --> 02:26.250 primitive data types. 02:26.370 --> 02:35.450 For example, if I want to cast the age or the height to an integer, what I need to do here. 02:35.650 --> 02:39.290 Casting variable from float to int. 02:39.330 --> 02:47.690 Let me say height casted equals to integer and we need to specify the height. 02:47.730 --> 02:51.610 Then go and print the type of the height casted. 02:51.650 --> 02:53.850 Run again and here we go. 02:54.090 --> 02:59.290 We casted the type from from float to integer. 02:59.330 --> 03:03.970 Let me run, print and see the height casted. 03:04.010 --> 03:15.250 It's not 5.9, it's now five because it's casted to integer and the integer removes that decimal part. 03:15.290 --> 03:17.410 So here we are casting. 03:17.410 --> 03:22.850 We are transforming the height from float into integer. 03:22.890 --> 03:27.730 One last note for the strings in Python. 03:27.730 --> 03:34.360 Strings in Python are surrounded by either single quotation mark or double quotation mark. 03:34.400 --> 03:38.920 You can display a string literal with a print function. 03:38.920 --> 03:49.040 So here we can use print hello developers without using a variable and calling the variable inside the 03:49.040 --> 03:49.640 print. 03:49.640 --> 03:54.880 So you can notice that hello developers is printed booleans. 03:54.880 --> 03:55.320 You. 03:55.360 --> 03:59.720 You often need to know if it's an expression true or false. 03:59.720 --> 04:06.280 You can evaluate an expression in Python and get one of two answers, either true or false. 04:06.440 --> 04:13.680 When you compare two values, the expression is evaluated and Python returns the boolean answer. 04:13.680 --> 04:15.280 For example, let's run. 04:15.280 --> 04:20.480 Now we get false because x is not equal to y. 04:20.720 --> 04:23.480 Let me check if it is greater than. 04:23.600 --> 04:27.360 Also we get false x less than y. 04:27.680 --> 04:28.520 Run. 04:28.600 --> 04:30.240 We have true okay. 04:30.520 --> 04:35.680 So we're going to learn about comparison and operators in the next videos. 04:35.680 --> 04:39.360 But when you compare two values the expression is evaluated. 04:39.360 --> 04:42.480 And Python returns the boolean answer.