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

High-speed Python excel library for merging SXC 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 SXC to SQL Using Python Excel Library

How do I merge SXC to SQL? With Aspose.Cells for Python via Java library, you can easily merge SXC 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 SXC to SQL in Python Excel Library

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

Follow the easy steps to merge SXC 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 SXC to SQL.

Sample Code to Merge SXC 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 SXC to SQL via Python Excel Library

Need to merge SXC 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 SXC 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 SXC 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.

SXC What is SXC File Format?

The file format SXC(Sun XML Calc) belongs to an office suite called OpenOffice.org. This format generally deals with the spreadsheet needs of users as it is an XML based spreadsheet file format. SXC format supports formulas, functions, macros and charts along with DataPilot, which is an incredible feature because it automatically individualizes and provides summaries of raw imported data. The files created with this software are saved with extension .sxc.

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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 sxc to many other file formats including.

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