This means that if you want to create a tuple with a single item, simply putting it between parentheses won't be enough. Instead, Python sees it as a string, which is the data type of our input "a" in this example. # when we check the type of one_item_tup.Īfter I removed the comma from inside the tuple, Python no longer considered one_item_tup to be a tuple. What happened? # let's see what happens if we create a tuple without the comma Using our type function, you'll see that one_item_tup is now a string. Now, if we check the type of one_item_tup, Python will confirm it's a tuple: # let's create a one-item tupleīut what happens if you remove the comma from the previous example but retain the parentheses? Is one_item_tup still a tuple? Let's try it out. In this case I’ll make my single item the string "a". I’ll create the variable one_item_tup, and in it I’ll store a tuple with a single item. One quirk of tuples in Python is that even if they only include a single item, the correct syntax includes a comma after that item. You can also check the length using the len function and you can expect to get 0 using len(new_tuple): # let's create an empty tuple You can check the data type of the variable you just named new_tuple using the type function: type(new_tuple). In the case of an empty tuple-as you might have guessed by this point in our series-you only write the round brackets: new_tuple = (). Like lists and dictionaries, tuples can be empty. Inputting print(my_tuple) prints the tuple, and print(my_list) prints the list: # let's print our tuple You can expect to use this function when writing longer programs, or when writing code outside of Jupyter notebooks. The print function can also be used with both lists and tuples. Inputting len(my_list) also gives us 5: # let's create a tuple and a list Inputting len(my_tuple) returns 5, as you'd expect. The len method can also be used with both the list and the tuple to return the number of items in each. ![]() Again, using type(my_list) outputs a list. Using type(my_tuple), you can see that I created a tuple. You can use the built-in type function to check the type of the two variables. Inside it, I’ll again write, but this time between square brackets. Similarly, I’ll also create a list and call it my_list. Inside it, I'll write the numbers ( 1,2,3,4,5) inside parentheses. I’ll create a tuple and call it my_tuple. Intro to Programming: How to Write and Run Code in Jupyter Notebooks.Intro to Programming: How to Get Your Computer Ready to Run Python.If you need help setting up your computer with Jupyter notebook you can follow along in my previous articles: Please feel free to start up your own Jupyter notebook. I'll explore tuples in more detail using a Jupyter notebook. So just like lists and dictionaries, tuples are flexible in terms of what you can store in them. Each of these items can be further nested into as many levels as needed. Intro to Programming: What Are Dictionaries in Python?Īlso like lists, tuples can pretty much contain any other data type, including strings, integer numbers, floating-point numbers, lists, dictionaries, and even other tuples. ![]() To sum up my last few articles, you can recall that you use square brackets for lists, curly brackets for dictionaries, and now, round parentheses for tuples. Where lists used square brackets, tuples use parentheses ( ). In terms of notation, tuples are similar to lists. You'll see all of these properties in action in just a bit. Third, that you cannot delete items from a tuple once a tuple has been defined. Second, that you cannot add new items to a tuple once the tuple has been defined. With tuples, immutability means three things: First, that items in tuples cannot be changed or reassigned.
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