Merging and Unmerging Excel Cells Using Java

Cell merging in Excel combines two or more adjacent cells in the same row or column into a single cell. This article demonstrates how to use Free Spire.XLS for Java to merge and unmerge cells in Excel spreadsheets. Prerequisites: Download Free Spire.XLS for Java and extract the package. Add the Spire.Xls.jar file from the lib folder as a depen ...

Posted on Wed, 13 May 2026 21:35:13 +0000 by dallasx

Persisting Excel Edits in OnlyOffice via Automated Callback Processing

Containerized deployment docker run -i -t -d -p 80:80 --name onlyoffice onlyoffice/documentserver Verify the service by accessing the server address in a browser. Locking specific cells Open the Excel workbook, select all cells (Ctrl+A) and open the Format Cells dialog (Ctrl+1). On the Protection tab, uncheck the Locked option. Individually s ...

Posted on Wed, 13 May 2026 20:21:42 +0000 by lol

Efficient PDF Table Data Extraction to Text and Excel Using Python Libraries

Extracting tabular data from PDF documents, while crucial for analytics and automation workflows, can be challenging due to the format's non-editable nature. Manual copy-pasting is inefficient and prone to errors like data misalignment or omissions. This guide outlines a streamlined approach using Python with dedicated libraries for precise PDF ...

Posted on Wed, 13 May 2026 15:36:24 +0000 by Grayda

Highlighting Low Values in Excel with Python and openpyxl

When working with usage statistics or analytics data in Excel, you often need to visually identify entries that fall below a certain threshold. Instead of manually scanning through hundreds of rows, Python can automate this process efficiently. This guide demonstrates how to programmatical highlight cells containing values less than 100 in red ...

Posted on Mon, 11 May 2026 05:14:32 +0000 by edspace

Efficient Processing of Large Excel Datasets with Python

Handling Large Excel Files in Python Processing extensive Excel datasets efficiently requires selecting appropriate libraries and optimization strategies. Python offers several tools specifically designed for this purpose. Recommended Libraries pandas serves as the primary choice for most data manipulation tasks. When dealing with large files, ...

Posted on Sun, 10 May 2026 08:03:32 +0000 by LiamOReilly

Export Database Data to Excel Using Python

In many scenarios, it's necessary to export database data into Excel files for analysis or reporting. Recently, I had a requirement to export all table from an SQLite database into a single Excel file, with each table in its own worksheet. This article explains how to achieve this using only Python's built-in libraries and a free Excel processi ...

Posted on Sun, 10 May 2026 00:31:09 +0000 by ddc

Java Excel File Processing: Reading and Writing Data

Adding Dependencies To manipulate Excel spreadsheets in Java, you need to include the appropriate libraries. Apache POI handles both legacy and modern Excel formats, while JXL provides an alternative specifically for older .xls files. Add the following to you're Maven pom.xml: <!-- Apache POI for .xls and .xlsx support --> <dependency& ...

Posted on Sat, 09 May 2026 10:03:08 +0000 by moret

Batch Processing Excel Files and Importing Data into SQL Server with Python

Requirements Analysis Excel data porcessing typically involves: Converting Excel serial date numbers to standard date formats (e.g., 44567 → 2022/1/6) Removing duplicates based on order IDs (SOID), keeping only the most recent records by date Converting date strings with English month names to numeric formats (e.g., 06/Jan/2022 12:27 → 2022-1- ...

Posted on Fri, 08 May 2026 09:32:27 +0000 by m2babaey