Convert HTM to NUMBERS in Python
High-speed Python library for converting HTM to NUMBERS. This is a professional software solution to import and export HTM, NUMBERS, and many other formats using Python.
Convert HTM to NUMBERS Using Python
How do I convert HTM to NUMBERS? With Aspose.Cells for Python library, you can easily convert HTM to NUMBERS 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 HTM to NUMBERS in Python Online for Free
The following example demonstrates how to convert HTM to NUMBERS in Python.
Follow the easy steps to convert HTM to NUMBERS. Upload your HTM file, then simply save it as NUMBERS file. For both HTM reading and NUMBERS writing you can use fully qualified filenames. The output NUMBERS content and formatting will be identical to the original HTM 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 HTM to NUMBERS via Python
Need to convert HTM files to NUMBERS programmatically? Python developers can easily load & convert HTM to NUMBERS 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 HTM file with an instance of Workbook.
- Convert HTM to NUMBERS by calling Workbook.save method.
- Get the conversion result of HTM to NUMBERS.
Python library to convert HTM to NUMBERS
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
.
HTM What is HTM File Format?
Files with .htm extension represent Hypertext Markup Language for creating web pages for display in web browsers such as Google Chrome, Internet Explorer, Firefox and a number of others. It defines the markups for creating static pages to be published on World Wide Web (WWW) for access by others. These markups tell the browsers how to display a web page��s contents. Such pages can contain plain text, images, hyperlinks to other pages, videos and other media information. When a web page is published, you can have a look at the markup code behind it by viewing its page source. Modern browsers allow to inspect each section of a web page where each sub-division or markup element in the HTM source is elaborated.
Read MoreNUMBERS 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.
Read MoreOther Supported Conversions
You can also convert HTM to many other file formats including few listed below.