#Ni action strings tutorial code#
This code in this simple loop raises a question, though: where did the variable name come from? We haven’t defined it previously in our code! But because for loops iterate through lists, tuples, etc. Below, we’ll create our list of names, and then write a for loop that iterates through it, printing each entry on the list in sequence. Let’s look at a quick example: if we had a list of names stored in Python, we could use a for loop to iterate through that list, printing each name until it reached the end. For example, when iterating through a list, you first specify the list you’d like to iterate through, and then specify what action you’d like to perform on each list item. You create a for loop by first defining the iterable object you’d like to loop through, and then defining the actions you’d like to perform on each item in that iterable object. Strings are iterable and return one character at a time, in the order the characters appear. Lists, for example, are iterable and return a single list entry at a time, in the order entries are listed. (An interable object, by the way, is any Python object we can iterate through, or “loop” through, and return a single element at a time. For example, a for loop would allow us to iterate through a list, performing the same action on each item in the list. In the context of most data science work, Python for loops are used to loop through an iterable object (like a list, tuple, set, etc.) and perform the same action for each entry. This tutorial is for Python beginners, but if you’ve never written a line of code before, you may want to start out by working through the beginning of our free-to-start Python Fundamentals course, as we won’t be covering basic syntax here. In this tutorial, we’re going to dive headfirst into for loops and learn how they can be used to do all sorts of interesting things when you’re doing data cleaning or data analysis in Python. But they can also be a little bit confusing when you’re just starting out.
When you’re working with data in Python, for loops can be a powerful tool.
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