Aspose.Cells Cloud SDK for Python

The SDK is open-source and licensed under the MIT License. You can access the Python library source code for Aspose.Cells Cloud here.

How to use Aspose.Cells Cloud SDK for Python

Aspose.Cells Cloud SDK for Python is a powerful library that allows developers to manipulate and process Microsoft Excel files using the Python programming language. With this SDK, you can create, edit, and convert Excel documents in the cloud, without installing additional software or dependencies on your local machine.

In this article, we’ll explore how to use Aspose.Cells Cloud SDK for Python to perform some common tasks, such as creating a new Excel workbook, inserting data into cells, and saving the modified workbook to the cloud.

Getting Started

Before you can start using the Aspose.Cells Cloud SDK for Go, you need to set up your development environment and install the necessary dependencies. Refer to the article on the Aspose website to obtain your client ID and client secret.

How to install the Python package for Aspose.Cells Cloud

You can install Aspose.Cells Cloud SDK for Python by the command below:


    pip3 install AsposeCellsCloud

How to use Python package to convert Xlsx to PDF

  • Import Aspose.Cells Cloud Library Begin by importing the necessary package from the Aspose.Cells Cloud Python SDK into your project.
  • Configure API Client with Credentials Authenticate your API client with your unique client ID and client secret.
  • Prepare Conversion Parameters Define parameters for the conversion task, including the source file name, desired output format, and the storage folder path.
  • Execute Workbook Conversion Invoke the conversion process using the PostConvertWorkbook method and handle the response.
import os
import sys
from asposecellscloud.apis.cells_api import CellsApi
from asposecellscloud.models import *
from asposecellscloud.requests import *

api  = CellsApi(os.getenv('CellsCloudClientId'),os.getenv('CellsCloudClientSecret'),"v3.0",os.getenv('CellsCloudApiBaseUrl'))
remote_folder = 'TestData/In'

local_name = 'Book1.xlsx'
remote_name = 'Book1.xlsx'

format = 'csv'

mapFiles = { 
    local_name: os.path.dirname(os.path.realpath(__file__)) + "/../TestData/" +local_name             
}
mapFiles = { 
    local_name:  local_name             
}
request =  UploadFileRequest( mapFiles, remote_folder + '/' + remote_name,storage_name= '')
api.upload_file(request)
 
request =  PutConvertWorkbookRequest( mapFiles,format= format)
api.put_convert_workbook(request)