Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Excel files with Python
Rating: 4.5 out of 5(290 ratings)
39,874 students

Excel files with Python

Use Excel spreadsheets with Python
Created byFrank Anemaet
Last updated 7/2021
English

What you'll learn

  • How to use Excel files with Python
  • Read/Write Excel files with code
  • Create charts from code

Course content

1 section9 lectures30m total length
  • Introduction0:05
  • Sheet names4:03
  • Read Excel2:07
  • Write Excel3:57
  • Images6:07
  • Chart4:29
  • Pie chart4:26
  • Line chart4:26
  • Font style1:15

    Learn to apply font style and color in Excel workbooks using hexadecimal RGB values to specify red, green, and blue, including importing font and color.

Requirements

  • Basic Python knowledge

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;

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.

Who this course is for:

  • Beginners Python developers curious about data science