Python and Excel Programming With OpenPyXL

Learn to pull large data from an Excel sheet using Python and OpenPyXL by grabbing entire columns or rows. Iterate over cells to access values and print results.

Learn to grab a specific cell range with Python slices and colons, navigate the resulting tuple of tuples with nested loops, and prepare for iterating columns and rows.

Learn to iterate through rows and columns in a worksheet using the rows and columns functions, with min_row, max_row, min_col, and max_col, and optional values_only for clean data.

Explore iterating through columns in openpyxl, compare it to rows, set min and max columns, and extract data such as names and favorite colors; prepares for saving changes.

Change a cell value in a worksheet and save the workbook as a new file using absolute or relative paths. The lesson covers workbook versus worksheet and optional save confirmation.

Learn the second method in openpyxl to add multiple cells by looping through rows, starting at a designated row and assigning values with the start cell function and dot value.

Create a new spreadsheet workbook with Python, add headers, populate columns one and two with names and colors using loops, then save the file.

Learn to style cells in openpyxl by changing font, size, color, bold, and italics for a selected cell, using hex color codes and the openpyxl.styles font function.

Illuminate the two-step process to add borders in a spreadsheet with openpyxl: define a border with sides and color, then apply it to cells and save, handling style validation.

Learn to create a pie chart in Excel using Python and OpenPyXL, including 2D and 3D charts, with labels, data ranges, and placing the chart on the worksheet.

Create a basic line chart and a 3d line chart in a spreadsheet using Python with openpyxl. Explore the available chart types and how to tweak colors and options.

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