Convert SPREADSHEETML to SQL in Python Excel Library
High-speed Python excel library for converting SPREADSHEETML to SQL. This is a professional software solution to import and export SPREADSHEETML, SQL, and many other formats using Python.
Aspose.Cells for Python
Overview
Convert SPREADSHEETML to SQL Using Python Excel Library
How do I convert SPREADSHEETML to SQL? With Aspose.Cells for Python library, you can easily convert SPREADSHEETML to SQL 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 SPREADSHEETML to SQL in Python Excel Library
The following example demonstrates how to convert SPREADSHEETML to SQL in Python excel library.
Follow the easy steps to convert SPREADSHEETML to SQL. Upload your SPREADSHEETML file, then simply save it as SQL file. For both SPREADSHEETML reading and SQL writing you can use fully qualified filenames. The output SQL content and formatting will be identical to the original SPREADSHEETML 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 SPREADSHEETML to SQL via Python
Need to convert SPREADSHEETML files to SQL programmatically? Python developers can easily load & convert SPREADSHEETML to SQL 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 SPREADSHEETML file with an instance of Workbook.
- Convert SPREADSHEETML to SQL by calling Workbook.save method.
- Get the conversion result of SPREADSHEETML to SQL.
Python Excel Library to Convert SPREADSHEETML 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
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.
SPREADSHEETML What is SPREADSHEETML File Format?
XML stands for Extensible Markup Language that is similar to HTML but different in using tags for defining objects. The whole idea behind creation of XML file format was to store and transport data without being dependent on software or hardware tools. Its popularity is due to it being both human as well as machine readable. This enables it to create common data protocols in the form of objects to be stored and shared over network such as World Wide Web (WWW). The "X" in XML is for extensible which implies that the language can be extended to any number of symbols as per user requirements. It is for these features that many standard file formats make use of it such as Microsoft Open XML, LibreOffice OpenDocument, XHTML and SVG.
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 Conversions
You can also convert SPREADSHEETML to many other file formats including few listed below.