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Excel Spreadsheets in Python With openpyxl (Summary)
Congratulations, you now know how to work with Excel spreadsheets in Python!
In the course you have learned how to:
- Extract valuable information from spreadsheets in a Pythonic manner
- Create your own spreadsheets, no matter the complexity level
- Add cool features such as conditional formatting or charts to your spreadsheets
Here are resources for more information about openpyxl:
Congratulations, you made it to the end of the course! What’s your #1 takeaway or favorite thing you learned? How are you going to put your newfound skills to use? Leave a comment in the discussion section and let us know.
00:00
Congratulations. You’ve just learned a ton about how to use openpyxl to use Python to work with Excel workbooks. This course covered a lot of different topics, so let’s take a few minutes to cover what you’ve learned.
00:12
The first thing that you saw was some terminology and did some course setup to get your sample data and your installations. Next, you saw a bunch of different ways to read Excel spreadsheets using openpyxl.
00:23
Then, the focus was on how to write Excel spreadsheets with openpyxl. For reading Excel spreadsheets, you saw how to load a workbook, iterate through the data, and then manipulate the data using Python data structures. For writing Excel spreadsheets, you saw that there were quite a few things that you could do when you were creating these. First, you saw how to manage the rows and columns.
00:46
Then, you saw how to manage the sheets. You then learned how to use openpyxl to add filters and formulas to your worksheets, and then how to style cells while also adding conditional formatting. Finally, you saw how to add images and charts to your worksheets.
01:02
We then wrapped up with a little bonus on how to use pandas with openpyxl. So at this point, you should feel pretty comfortable using openpyxl to work with your Excel spreadsheets.
01:12
You’ve probably seen that there’s a lot of things you can do to Excel spreadsheets with openpyxl, and there’s even more than we covered here.
01:20
Depending on your specific use cases, the openpyxl documentation is a great way to see what you can actually do with openpyxl. And that’s it!
01:29
It’s time to go see how you can use openpyxl in your next project. Thanks for watching.
Ricky Mitchell on Jan. 4, 2021
Great course. Extremely helpful. Now, it is time for me to read the openpyxl documentation to see what all it will do so that I can use it in a cool project. Thank you!
aniketbarphe on Sept. 12, 2021
Great Course!
dakshnavenki on Nov. 17, 2021
Great Explanation of each topic. I am looking for the “Autofit to contents” for each columns, but couldn’t find a direct way to do it in openpyxl. Any leads on this is appreciated. Thank you.
ranjeet on April 6, 2022
Great course with very clear explanation for each and every topic discussed into this tut. Extremely helpful. More to utilize by looking into openpyxl documentation to see what all it will do while working with projects in near future. Thank you so much JOE!
pedroifgonzalez on Feb. 7, 2023
Great course! Thank you!
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Ghani on Oct. 31, 2020
Excellent course; thanks a lot!