Название: Automating Excel with Python: Processing Spreadsheets with OpenPyXL
Автор: Michael Driscoll
Издательство: Leanpub
Год: 2021-12-10
Страниц: 213
Язык: английский
Формат: pdf (true), epub
Размер: 28.9 MB
Автор: Michael Driscoll
Издательство: Leanpub
Год: 2021-12-10
Страниц: 213
Язык: английский
Формат: pdf (true), epub
Размер: 28.9 MB

You can use Python to create, edit or read Microsoft Excel documents using OpenPyXL. In this book, you will learn all you need to get started automating Excel with Python!

Python is a versatile programming language. You can use Python to read, write and edit Microsoft Excel documents. There are several different Python packages you can use, but this book will focus on OpenPyXL. The OpenPyXL package allows you to work with Excel files on Windows, Mac and Linux, even if Excel isn't installed.

The purpose of this book is to help you learn how to use Python to work with Excel. You will be using a package called OpenPyXL to create, read, and edit Excel documents with Python. While the focus of this book will be on OpenPyXL, you will also learn about other Python packages that you can use to interact with Excel using the Python programming language.

In this book, you will learn about the following:
Opening and Saving Workbooks
Reading Cells and Sheets
Creating a Spreadsheet (adding / deleting rows and sheets, merging cells, folding, freeze panes)
Cell Styling (font, alignment, side, border, images)
Conditional Formatting
Charts
Comments
Print Settings
and more!

Python is a great language that you can use to enhance your daily work, whether you are an experienced developer or a beginner!

Who is this book for?
This book is targeted at intermediate level developers. The ideal person reading this book will know the Python language already and understand how to install 3rd party packages. However, if you are new to Python, the examples in this book should still be easy to follow. If you need to know more about the Python programming language, there are many free resources.