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Aspose.Cells  for Python
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Merge XLT to SQL via Python Excel Library

High-speed Python excel library for merging XLT to SQL. Use our excel conversion API to develop high-level, platform independent software in Python. This is a professional software solution to import and export Excel, CSV, OpenOffice, PDF, HTML, image, and many other excel formats.

Merge XLT to SQL Using Python Excel Library

How do I merge XLT to SQL? With Aspose.Cells for Python via Java library, you can easily merge XLT to SQL programmatically with a few lines of code. Aspose.Cells for Python via Java is capable of building cross-platform applications with the ability to generate, modify, convert, render and print all Excel files. Python Excel API not only convert between spreadsheet formats, it can also render Excel files as images, PDF, HTML, ODS, CSV, SVG, JSON, WORD, PPT and more, thus making it a perfect choice to exchange documents in industry-standard formats. You may install Aspose.Cells for Python via Java from pypi, use command as: $ pip install aspose-cells.

Merge XLT to SQL in Python Excel Library

The following example demonstrates how to merge XLT to SQL in Aspose.Cells for Python via Java.

Follow the easy steps to merge XLT to SQL. Upload your files, call Workbook.Combine method for merging files, and then save it to SQL file. If you develop code in Python, this will be simpler than it sounds. See Python example that merges XLT to SQL.

Sample Code to Merge XLT to SQL in Python Excel Library
Select two files
Output format
   
                                   
                
	
  import  jpype     
  import  asposecells     
  jpype.startJVM() 
  from asposecells.api import Workbook
  workbook = Workbook("Input.xlsx")
  workbook.combine(Workbook("Combine.xlsx"))
  workbook.Save("Output.pdf")
  jpype.shutdownJVM()
	
                
            

How to Merge XLT to SQL via Python Excel Library

Need to merge XLT to SQL programmatically? A basic document merging and concatenating with Aspose.Cells for Python via Java APIs can be done with just few lines of code.

  • Install ‘Aspose.Cells for Python via Java’.
  • Add a library reference (import the library) to your Python project.
  • Load the XLT file with Workbook class.
  • Call the Workbook.Combine method for merging files.
  • Call the Workbook.Save method and pass the output file name as a parameter.
  • Now you can open and use the output file in Microsoft Office, Adobe PDF or any other compatible program.

Python library to merge XLT to SQL

There are three options to install “Aspose.Cells for Python via Java” onto your system. Please choose one that resembles your needs and follow the step-by-step instructions:

  1. Install Aspose.Cells for Python via Java in Windows. See Documentation
  2. Install Aspose.Cells for Python via Java in Linux. See Documentation
  3. Install Aspose.Cells for Python via Java in macOS. See Documentation

System Requirements

Our APIs are supported on all major platforms and Operating Systems. Before executing the code below, please make sure that you have the following prerequisites on your system.

  • Install Java 1.8 or higher and add it to PATH environment variable, for example: PATH=C:\Program Files\Java\jdk1.8.0_131;.
  • Install Python 3.5 or higher.
  • Install Aspose.Cells for Python from pypi, use command as: $ pip install aspose-cells.

XLT What is XLT File Format?

Files with .xlt extension are template files created with Microsoft Excel which is a spreadsheet application which comes as part of Microsoft Office suite. Microsoft Office 97-2003 supported creating new XLT files as well as opening these. The latest version of Excel is still capable of opening this old format template files. Such a template file is used to quickly create new Excel files with default data and settings such as page formatting, font size, margins, charts, etc which can be further saved as new .xls files.

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SQL What is SQL File Format?

A file with .sql extension is a Structured Query Language (SQL) file that contains code to work with relational databases. It is used to write SQL statements for CRUD (Create, Read, Update, and Delete) operations on databases. SQL files are common while working with desktop as well as web-based databases. There are several alternatives to SQL such as Java Persistence Query Language (JPQL), LINQ, HTSQL, 4D QL, and several others. SQL files can be opened by query editors of Microsoft SQL Server, MySQL and other plain text editors such as Notepad on Windows OS.

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Other Supported Merging Formats

Using Python excel library, One can also merge xlt to many other file formats including.

Merge XLT to DOCX (Microsoft Word document)
Merge XLT to SQL (Structured Query Language)
Merge XLT to BMP (Bitmap Image)
Merge XLT to EMF (Enhanced Metafile Format)
Merge XLT to GIF (Graphical Interchange Format)
Merge XLT to HTML (Hyper Text Markup Language)
Merge XLT to MD (Markdown Language)
Merge XLT to MHTML (Web Page Archive Format)
Merge XLT to ODS (OpenDocument Spreadsheet File)
Merge XLT to PDF (Portable Document Format)
Merge XLT to PNG (Portable Network Graphics)
Merge XLT to SVG (Scalable Vector Graphics)
Merge XLT to TIFF (Tagged Image Format)
Merge XLT to TSV (Tab-Separated Values)
Merge XLT to TXT (Text Document)
Merge XLT to XLS (Excel Binary Format)
Merge XLT to XLSB (Binary Excel Workbook File)
Merge XLT to XLSM (Spreadsheet File)
Merge XLT to XLSX (OOXML Excel File)
Merge XLT to XLT (Microsoft Excel Template)
Merge XLT to XLTM (Excel Macro-enabled Template)
Merge XLT to XLTX (Office OpenXML Excel Template)
Merge XLT to XML (Extensible Markup Language)
Merge XLT to XPS (XML Paper Specifications)
Merge XLT to JSON (JavaScript Object Notation)
Merge XLT to JPEG (JPEG Image)