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.
Aspose.Cells for Python
Overview
Merge XLT to SQL Using Python Excel Library
How do I merge XLT to SQL? With Aspose.Cells for Python via .NET library, you can easily merge XLT to SQL programmatically with a few lines of code. Aspose.Cells for Python via .NET 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 .NET from pypi, use command as:$ pip install aspose-cells-python.Merge XLT to SQL in Python Excel Library
The following example demonstrates how to merge XLT to SQL in Aspose.Cells for Python via .NET.
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.
import aspose.cells
from aspose.cells import Workbook
workbook = Workbook("Input.xlsx")
workbook.combine(Workbook("Combine.xlsx"))
workbook.save("Output.pdf")
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 .NET APIs can be done with just few lines of code.
- Install ‘Aspose.Cells for Python via .NET’.
- 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
We host our Python packages in PyPi repositories.
Install Aspose.Cells for Python from pypi, use command as: $ pip install aspose-cells-python.
And you can also follow the step-by-step instructions on how to install “Aspose.Cells for Python via .NET” to your developer environment.
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.
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.
Read MoreSQL 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.
Read MoreOther Supported Merging Formats
Using Python excel library, One can also merge xlt to many other file formats including.