How to Install and Uninstall python310-azure-mgmt-databricks Package on openSuSE Tumbleweed
Last updated: February 02,2025
1. Install "python310-azure-mgmt-databricks" package
Please follow the instructions below to install python310-azure-mgmt-databricks on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python310-azure-mgmt-databricks
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2. Uninstall "python310-azure-mgmt-databricks" package
This is a short guide on how to uninstall python310-azure-mgmt-databricks on openSuSE Tumbleweed:
$
sudo zypper remove
python310-azure-mgmt-databricks
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3. Information about the python310-azure-mgmt-databricks package on openSuSE Tumbleweed
Information for package python310-azure-mgmt-databricks:
--------------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-azure-mgmt-databricks
Version : 2.0.0-1.5
Arch : noarch
Vendor : openSUSE
Installed Size : 947.0 KiB
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 : python310-azure-mgmt-databricks
Version : 2.0.0-1.5
Arch : noarch
Vendor : openSUSE
Installed Size : 947.0 KiB
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.