Your code uses Python's csv module in addition to OpenPyXL. Then enter the following code: # csv_to_excel.py Open up your Python IDE and create a new file named csv_to_excel.py. Now that you have the CSV file, you need to create a new Python file too. You can also download the CSV file from this book's GitHub code repository. ![]() Python Interviews,Mike Driscoll,Packt Publishing,2018,9781788399081 With that in mind, open up your favorite text editor (Notepad, SublimeText, or something else) and add the following: book_title,author,publisher,pub_date,isbn However, you do need to have a CSV file to get started. You will soon see that converting a CSV file to an Excel spreadsheet doesn't take very much code. Now that you have OpenPyXL, you are ready to learn how to convert a CSV file to an Excel spreadsheet! Converting a CSV file to Excel You can use pip to install OpenPyXL: python3 -m pip install openpyxl You need to install OpenPyXL to be able to use the examples in this article. You will be using Python and OpenPyXL to do the conversion from one file type to the other. The purpose of this article is to teach you the following concepts: You can open one yourself with Excel and then save it yourself in an Excel format. Microsoft Excel opens CSV files with no problem. Most CSV files have records that are all the same length. Each row is its own record and each value is its own field. CSV stands for "Comma-Separated Values" and is a text file format that uses a comma as a delimiter to separate values from one another. ![]() There are many common file types that you will need to work with as a software developer.
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