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Convert NUMBERS to XLS in Python Excel Library

High-speed Python excel library for converting NUMBERS to XLS. Use our excel conversion API to develop high-level, platform independent software in Python.

Convert NUMBERS to XLS in Python Excel Library

How do I convert NUMBERS to XLS? With Aspose.Cells for Python via NET library, you can easily convert NUMBERS to XLS 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.

Save NUMBERS to XLS in Python Excel Library

The following example demonstrates how to convert NUMBERS to XLS in Python excel library.

Follow the easy steps to convert NUMBERS to XLS. Upload your NUMBERS file, then simply save it as XLS file. For both NUMBERS reading and XLS writing you can use fully qualified filenames. The output XLS content and formatting will be identical to the original NUMBERS document.

Sample Code to Convert NUMBERS to XLS via Python Excel Library
Input file
Select format
   
                                   

	
  import  aspose.cells 
  from aspose.cells import Workbook
  workbook = Workbook("Input.xlsx")
  workbook.save("Output.pdf")
	 
                
            

How to Convert NUMBERS to XLS

Need to convert NUMBERS files to XLS programmatically? Python developers can easily load & convert NUMBERS to XLS in just a few lines of code.

  1. Install ‘Aspose.Cells for Python via .NET’.
  2. Add a library reference (import the library) to your Python project.
  3. Load NUMBERS file with an instance of Workbook.
  4. Convert NUMBERS to XLS by calling Workbook.save method.
  5. Get the conversion result of NUMBERS to XLS.

Python Excel Library to Convert NUMBERS to XLS

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

Aspose.Cells for Python via NET is platform-independent API and can be used on any platform (Windows, Linux), just make sure that system have Python 3.7 or higher.

NUMBERS What is NUMBERS File Format?

The files with .numbers extension are classified as spreadsheet file type, that's why they are similar to the .xlsx files; but the Numbers files are created by using Apple iWork Numbers spreadsheet software. The Apple iWork Numbers is a unit software of the iWork Productivity Suite. The iWork Productivity Suite is equivalent to the Microsoft Office Suite that is used on Windows PCs. Hence, we can say the Numbers which is available for MacOS is also a competitor of Microsoft Excel. Likewise, Microsoft Excel, the NUMBERS file may also contain the tables, charts and formulas.

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XLS What is XLS File Format?

Files with XLS extension represent Excel Binary File Format. Such files can be created by Microsoft Excel as well as other similar spreadsheet programs such as OpenOffice Calc or Apple Numbers. File saved by Excel is known as Workbook where each workbook can have one or more worksheets. Data is stored and displayed to users in table format in worksheet and can span numeric values, text data, formulas, external data connections, images, and charts. Applications like Microsoft Excel lets you export workbook data to several different formats including PDF, CSV, XLSX, TXT, HTML, XPS, and several others. The XLS file format was replaced with a more open and structured format, XLSX, with the release of Microsoft Excel 2007. The latest versions still provide support for creating and reading XLS files, though XLSX is the first choice of use now.

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Other Supported Conversions

You can also convert NUMBERS to many other file formats including few listed below.

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