Merge XLTM to SQL via Python Excel Library
High-speed Python excel library for merging XLTM 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 XLTM to SQL Using Python Excel Library
How do I merge XLTM to SQL? With Aspose.Cells for Python via Java library, you can easily merge XLTM 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 XLTM to SQL in Python Excel Library
The following example demonstrates how to merge XLTM to SQL in Aspose.Cells for Python via Java.
Follow the easy steps to merge XLTM 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 XLTM to SQL.
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 XLTM to SQL via Python Excel Library
Need to merge XLTM 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 XLTM 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 XLTM 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:
- Install Aspose.Cells for Python via Java in Windows. See Documentation
- Install Aspose.Cells for Python via Java in Linux. See Documentation
- 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.
XLTM What is XLTM File Format?
The XLTM file extension represents files that are generated by Microsoft Excel as Macro-enabled template files. XLTM files are similar to XLTX in structure other than that the later does not support creating template files with macros. Such template files are used to generate and set the layout, formatting, and other settings along with the macros to facilitate creating similar XLSX files then.
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 xltm to many other file formats including.