How to Install and Uninstall python311-azure-mgmt-databricks Package on openSuSE Tumbleweed
Last updated: December 29,2024
1. Install "python311-azure-mgmt-databricks" package
Please follow the instructions below to install python311-azure-mgmt-databricks on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python311-azure-mgmt-databricks
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2. Uninstall "python311-azure-mgmt-databricks" package
This guide let you learn how to uninstall python311-azure-mgmt-databricks on openSuSE Tumbleweed:
$
sudo zypper remove
python311-azure-mgmt-databricks
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3. Information about the python311-azure-mgmt-databricks package on openSuSE Tumbleweed
Information for package python311-azure-mgmt-databricks:
--------------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-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 : python311-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.