Locked learning resources

Join us and get access to thousands of tutorials and a community of expert Pythonistas.

Unlock This Lesson

Locked learning resources

This lesson is for members only. Join us and get access to thousands of tutorials and a community of expert Pythonistas.

Unlock This Lesson

Python String Splitting (Summary)

Splitting strings into smaller, more manageable parts is a fundamental skill for data processing and data analysis tasks. You can work with the string method .split() for basic scenarios or use powerful tools like the split() function from Python’s re module for complex splitting patterns.

In this video course, you’ve learned how to:

  • Use .split() to break strings down by whitespace
  • Provide a custom delimiter, like commas, tabs, and semicolons, with the sep parameter
  • Control splitting behavior with maxsplit to limit the number of substrings you extract
  • Take advantage of regular expressions with re.split() for advanced or multi-delimiter scenarios

Resources linked in this lesson:

Locked learning resources

Join us and get access to thousands of tutorials and a community of expert Pythonistas.

Unlock This Lesson

Already a member? Sign-In

Locked learning resources

The full lesson is for members only. Join us and get access to thousands of tutorials and a community of expert Pythonistas.

Unlock This Lesson

Already a member? Sign-In

00:00 You’ve covered a lot of ground. You’ve gone from the basics of what a string is all the way to advanced splitting techniques. Let’s take a moment to wrap everything up, review the things you’ve learned, and see where you can go from here.

00:13 You’ve learned the basics of splitting strings. You now know how to use the .split() method, what its separator and maxsplit arguments do, and what its return value is.

00:22 You’ve learned different splitting strategies. You know when to use simple default split for whitespace, when to provide a specific delimiter for structured data.

00:31 and how to control the split count. With maxsplit, you’ve learned how to use the re.split() method to split on multiple delimiters, not just a single delimiter.

00:41 You have applied this knowledge to real-world scenarios. You’ve seen practical code for parsing file paths, handling user inputs, and cleaning up messy data.

00:50 Now you know some of the most common applications of the .split() method, and now you should be able to do it yourself if similar problems come your way.

00:58 Finally, now you understand when to use the .split() method versus the .rsplit() method. You know that when you need to work from the right end of a string, like getting a file extension or a filename, .rsplit() is the way to go.

01:13 Great. Now let’s look at what you can explore next.

01:18 You’ve built a strong foundation in splitting strings. If you want to expand your text and data manipulation toolkit even further, here are fantastic topics you should explore. First, Join Strings in Python.

01:30 The .split() method takes strings apart, and the .join() method puts them back together. You’ve already seen this in action when we split a sentence, capitalized every word, and then put them back together.

01:41 Next, you can learn about handling CSV Files in Python. You’ve already seen how to use the .split() method to handle simple comma-separated data.

01:49 But for a more robust handling of real-world CSV data, you will want to use Python’s built-in csv module. It’s designed to handle the tricky edge cases too.

01:59 Then there’s Python’s pathlib Module. You also saw how you can use the .rsplit() method to work with file paths. While that’s great for a quick win, the modern and professional way to handle file system paths is with pathlib. It’s platform independent, meaning your code will work on Windows, Mac, and Linux without you having to worry about forward slashes versus backslashes.

02:21 It’s a much safer and more powerful approach.

02:25 And finally, you should learn more about Regular Expressions in Python. I cannot stress enough how helpful regular expressions are for finding, matching, and manipulating text.

02:36 It’s an incredibly valuable skill for any serious programmer. Exploring these will make you even more effective at working with all kinds of data in Python.

02:46 And that concludes our guide to Python string splitting. You’ve gone from the fundamentals all the way to advanced techniques, and you should now feel fully equipped and confident to take on any string parsing task that comes your way.

02:59 Thank you for joining me, and good luck with putting your new skills to use. Happy coding.

Become a Member to join the conversation.