How to Install and Uninstall python39-azure-ai-translation-text Package on openSuSE Tumbleweed

Last updated: November 08,2024

1. Install "python39-azure-ai-translation-text" package

Please follow the step by step instructions below to install python39-azure-ai-translation-text on openSuSE Tumbleweed


    
        
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                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python39-azure-ai-translation-text
            
                    
    
    Copied

2. Uninstall "python39-azure-ai-translation-text" package

Please follow the guidance below to uninstall python39-azure-ai-translation-text on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python39-azure-ai-translation-text
            
                    
    
    Copied

3. Information about the python39-azure-ai-translation-text package on openSuSE Tumbleweed

Information for package python39-azure-ai-translation-text:
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Repository : openSUSE-Tumbleweed-Oss
Name : python39-azure-ai-translation-text
Version : 1.0.0~b1-1.6
Arch : noarch
Vendor : openSUSE
Installed Size : 578.8 KiB
Installed : No
Status : not installed
Source package : python-azure-ai-translation-text-1.0.0~b1-1.6.src
Upstream URL : https://github.com/Azure/azure-sdk-for-python
Summary : Azure Text Translation Client Library for Python
Description :
Text Translation is a cloud-based REST API feature of the Translator service that uses
neural machine translation technology to enable quick and accurate source-to-target
text translation in real time across all supported languages.
Use the Text Translation client library for Python to:
* Return a list of languages supported by Translate, Transliterate, and Dictionary operations.
* Render single source-language text to multiple target-language texts with a single request.
* Convert text of a source language in letters of a different script.
* Return equivalent words for the source term in the target language.
* Return grammatical structure and context examples for the source term and target term pair.