How to Install and Uninstall python312-azure-mgmt-databricks Package on openSuSE Tumbleweed
Last updated: December 25,2024
1. Install "python312-azure-mgmt-databricks" package
Please follow the steps below to install python312-azure-mgmt-databricks on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python312-azure-mgmt-databricks
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2. Uninstall "python312-azure-mgmt-databricks" package
This guide covers the steps necessary to uninstall python312-azure-mgmt-databricks on openSuSE Tumbleweed:
$
sudo zypper remove
python312-azure-mgmt-databricks
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3. Information about the python312-azure-mgmt-databricks package on openSuSE Tumbleweed
Information for package python312-azure-mgmt-databricks:
--------------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python312-azure-mgmt-databricks
Version : 2.0.0-1.5
Arch : noarch
Vendor : openSUSE
Installed Size : 1.1 MiB
Installed : No
Status : not installed
Source package : python-azure-mgmt-databricks-2.0.0-1.5.src
Upstream URL : https://github.com/Azure/azure-sdk-for-python
Summary : Microsoft Azure Databricks Management Client Library
Description :
This is the Microsoft Azure Databricks Management Client Library.
Azure Resource Manager (ARM) is the next generation of management APIs that
replace the old Azure Service Management (ASM).
This package has been tested with Python 2.7, 3.4, 3.5, 3.6 and 3.7.
--------------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python312-azure-mgmt-databricks
Version : 2.0.0-1.5
Arch : noarch
Vendor : openSUSE
Installed Size : 1.1 MiB
Installed : No
Status : not installed
Source package : python-azure-mgmt-databricks-2.0.0-1.5.src
Upstream URL : https://github.com/Azure/azure-sdk-for-python
Summary : Microsoft Azure Databricks Management Client Library
Description :
This is the Microsoft Azure Databricks Management Client Library.
Azure Resource Manager (ARM) is the next generation of management APIs that
replace the old Azure Service Management (ASM).
This package has been tested with Python 2.7, 3.4, 3.5, 3.6 and 3.7.