1 views collected around this technical thread.
This tutorial demonstrates how to use Python together with the xlwings library and VBA to programmatically create and customize embedded and chart-sheet Excel charts, covering step‑by‑step code explanations for setting data sources, chart types, titles, and data labels.
This article demonstrates how to replace tedious manual Excel reporting by using Python libraries pandas and xlwings to read multiple sheets, merge data, write the combined DataFrame back to Excel, and apply conditional formatting such as font colors, borders, and cell shading based on statistical thresholds.
This tutorial demonstrates how to split a master Excel rent ledger into per‑room Excel files, automatically adjust column widths and borders, capture each sheet as an image using xlwings and Pillow, and finally package the script into a standalone executable for distribution.
This article presents a series of Python examples using xlwings and pandas to batch‑sort worksheets, filter and aggregate data across multiple workbooks, compute summary statistics, perform correlation, ANOVA, regression, and generate pivot tables and visualizations, illustrating practical Excel automation and data‑analysis techniques.
This tutorial demonstrates how to use Python's xlwings library to programmatically create, save, list, rename, print, and split Excel workbooks and worksheets, providing practical code examples for automating common spreadsheet tasks and improving workflow efficiency.
This article explains how to combine Python and Excel with the xlwings library, covering installation, add‑in configuration, project creation, VBA‑to‑Python interaction, and several code examples that demonstrate data manipulation and custom functions within Excel.