Excel files with Python

Excel files with Python

The course “Excel Files with Python” is an excellent opportunity for individuals who want to learn how to work with Excel spreadsheets using Python. The course covers a range of topics, including reading and writing data to Excel files, performing calculations and data manipulations, and creating charts and graphs.

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With the increasing amount of data being generated and stored in Excel spreadsheets, knowing how to automate tasks using Python can save time and increase efficiency. By the end of the course, students will have a solid understanding of how to use Python to work with Excel files and will be able to apply their knowledge to real-world scenarios.

Excel files with Python Description

Excel a widely available program belonging to the Microsoft Office software suite, used for creating and plotting spreadsheets. The format used by Excel is xls or xlsx. As office suite you can use Excel, LibreOffice, Google Sheets or any of the other office programs. The focus of this course is on Python with Excel, not on the office suite. This works on any platform including Apple Mac OS X, Microsoft Windows and Linux.

In this course you will learn how to use Python for reading and writing Excel 2010 xlsx/xlsm/xltx/xltm files. It allows to read and write the whole essense of Excel files without limitation. Reading Excel files (both .xlsx and the legacy .xls format); writing Excel files in both legacy .xls format or the new .xlsx format; reading cell values;

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After completing this course you can create Excel files from code, read Excel files with Python, add images to your Excel file from code, create all kinds of charts and more.

This is an intermediate level course that teaches you how to work with Excel in Python (openpyxl). You should already know the basics of the Python programming language before starting this course.

You should use the latest Python version, version Python 3.9.5 is used in the course.

Excel files with Python
Use Excel spreadsheets with Python
$0 $19.99

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