Convert TABDELIMITED to XLT in Python Excel Library
High-speed Python excel library for converting TABDELIMITED to XLT. This is a professional software solution to import and export TABDELIMITED, XLT, and many other formats using Python.
Aspose.Cells for Python
Overview
Convert TABDELIMITED to XLT Using Python Excel Library
How do I convert TABDELIMITED to XLT? With Aspose.Cells for Python library, you can easily convert TABDELIMITED to XLT programmatically with a few lines of code. Aspose.Cells for Python 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 TABDELIMITED to XLT in Python Excel Library
The following example demonstrates how to convert TABDELIMITED to XLT in Python excel library.
Follow the easy steps to convert TABDELIMITED to XLT. Upload your TABDELIMITED file, then simply save it as XLT file. For both TABDELIMITED reading and XLT writing you can use fully qualified filenames. The output XLT content and formatting will be identical to the original TABDELIMITED document.
import jpype
import asposecells
jpype.startJVM()
from asposecells.api import Workbook
workbook = Workbook("Input.xlsx")
workbook.save("Output.pdf")
jpype.shutdownJVM()
How to Convert TABDELIMITED to XLT via Python
Need to convert TABDELIMITED files to XLT programmatically? Python developers can easily load & convert TABDELIMITED to XLT in just a few lines of code.
- Install ‘Aspose.Cells for Python via Java’.
- Add a library reference (import the library) to your Python project.
- Load TABDELIMITED file with an instance of Workbook.
- Convert TABDELIMITED to XLT by calling Workbook.save method.
- Get the conversion result of TABDELIMITED to XLT.
Python Excel Library to Convert TABDELIMITED to XLT
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
Aspose.Cells for Python via Java is platform-independent API and can be used on any platform (Windows, Linux and MacOS), just make sure that system have Java 1.8 or higher, Python 3.5 or higher.
- Install Java and add it to PATH environment variable, for example:
PATH=C:\Program Files\Java\jdk1.8.0_131;. - Install Aspose.Cells for Python from pypi, use command as:
$ pip install aspose-cells.
TABDELIMITED What is TABDELIMITED File Format?
A Tab-Separated Values (TSV) file format represents data separated with tabs in plain text format. The file format, similar to CSV, is used for organization of data in a structured manner in order to import and export between different applications. The format is primarily used for data import/export and exchange in Spreadsheet applications and databases. Each record in a TSV file is contained in a single line of text file where each field value is separated by a tab character. Media type for TSV file format is text/tab-separated-values.
Read MoreXLT 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 MoreOther Supported Conversions
You can also convert TABDELIMITED to many other file formats including few listed below.