From the course: Python in Excel: Working with pandas DataFrames

The next steps for learning more about Python in Excel

From the course: Python in Excel: Working with pandas DataFrames

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The next steps for learning more about Python in Excel

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- [Instructor] Congratulations on reaching the end of the course. If you want to learn more about Python in Excel, it's always a good idea to check out the official documentation. If there are things where you got stuck or where you need more information, there's a Q and A section on the course page that you can use. I do hope you enjoyed learning about Python in Excel. However, we touched on many different topics and were only able to scratch the surface. There are other courses that go into more detail on data science and data analysis like Python for Data Science Essential Training, or Python Data Analysis. Other courses like Python for Data Visualization, focus on Matplotlib and other plotting libraries. You can also move on to more advanced topics we haven't touched at all in this course, such as machine learning with Psychic Learn, a package that is also available with Python in Excel. If you are interested in my own work with Python on Excel, you can check out my project xlwings on xlwings.org. xlwings is a Python package that allows you to do a ton of things with Excel. You can write user-defined functions, macros or automation scripts. It also allows you to do advanced things like calling VBA functions from Python and vice versa. A key difference to Python in Excel is that it runs locally or on your self-hosted server. If these things sound interesting to you, you may want to have a look at my book "Python for Excel", which covers Pandas and xlwings, as well as other libraries such as Openpyxl and XLsxWriter. And finally, I'm posting regularly about Python and Excel. So make sure to follow me on LinkedIn or Twitter or on YouTube. I hope to see you there!

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