![]() ![]() Strings are text values composed of a sequence of characters. The last example of data types in Python we will go over is string. So, to sum up, the two Boolean values a variable can have are True or False, and they must be written with a capital letter. ![]() Side note: An important detail you should remember is that you have to type True or False with capital letters! Otherwise, Python won’t recognize your variable as a Boolean and will display an error message. If we check its type with the type() function, we get the output ‘bool’. Let’s create a new variable, x3, and assign to it the value True. In Python, this means a True or False value, corresponding to the machine’s logic of understanding 1s and 0s, on or off, right or wrong, true or false. An example of such type of values is the Boolean type. Not all variables should assume numeric values. That’s why 4.75 turns into 4 after executing the code shown in the picture.įloat(), instead, will add a decimal point to the integer or Boolean value and will turn it into a float. Int() transforms the variable into an integer. Let’s look at two other built-in functions, int()and float(). 4.75 is such a number so Python reads it as a float. We can check its type by using the type() function again.įloating points, or as you’ll more frequently hear - floats, are real numbers. ![]() Now, let’s assign the value of 4.75 to a new variable, x2. For instance, if we write type(-6), Python will correctly point out that -6 is an integer. The type() function can also be applied directly to a value instead of a variable. So, in this case, we’ll type x1.Īfter executing the code, the result we obtain is “int”, which indicates the value is an integer. Within the brackets, we must place the name of the variable whose type of value we want to verify. We can apply the type() function on different data types in Python following this rule. In fact, there is a specific function in Python that can prove this is correct. Let’s create x1 and bind to it the value of 5. I believe in learning through doing, so let me show you what you can do with integers. Integers are positive or negative whole numbers without a decimal point. This is because numbers can be either integers or floats (floating points). When programming, if you say that a variable has a numeric value, you are being ambiguous. Since there are many programmers who are good at math, let’s take a look at the numeric data types in Python first. If you are not comfortable with using variables in Python, our article on how to declare python variables can change that. The data types in Python that we will look at in this tutorial are integers, floats, Boolean, and strings. ![]()
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