I have thousands of blobs in the container and have a list of blobs to be deleted fetched from some db. Now, there is no guarantee that the id/name present in the list is present in the blob. so want to do a deleteIfExist kind of a scenario and error it throws when blob is not present is NOT :
Tag: azure
Is it possible to use a dynamic array/list as input for parameterizing a kusto query?
I have an application that uses the Python library azure.kusto.data to query data from a Kusto cluster. I’m wondering, is it possible to use a dynamic array as input for paramterizing a kusto query? The existing documentation doesn’t seem to call out such functionality. https://learn.microsoft.com/en-us/azure/data-explorer/kusto/query/queryparametersstatement?pivots=azuredataexplorer Passing in string type values has worked fine in the past: I will then pass
How to iterate over azure.core.paging.ItemPaged?
I have an iterator object <iterator object azure.core.paging.ItemPaged at 0x7fdb309c02b0>. When I iterate over it for a first time (see code below), it prints the results. However, when I execute this code a second time, it prints nothing. What is wrong in my code? Do I need to somehow reset the enumerator? Answer This is the default behavior of the
Azure KeyVault: how to retrieve clientId, clientSecret and the tenantId for an existing Service Principal?
The cloud engineer in my organization has set up an Azure KeyVault and a Service Principal. I know the id of this Service Principal, but I also need clientId, clientSecret, and tenantId. The documentation shows that these variables are exposed to you when you create a Service Principal using Azure CLI, but in my case, there is one already. I
Django Web App running on local Debian 10 but failing on Azure
I can run my web app on my local machine – no errors. But when porting the directory strcture to Azure, I get the ModuleNotFoundError: No module named ‘django’. Here is what I did: My app is publicly available on GitHub. The app runs in a virtual environment (called deploydjango). That is reflected in the tree structure of the repo.
Azure Data Factory HTTP Dataset using Python SDK , unable to find parameters
I am trying to create a HTTP ‘Dataset’ in Data Factory using Python SDK azure.mgmt.datafactory.models. I am unable to find the parameters in Microsoft documentation (https://learn.microsoft.com/en-us/python/api/azure-mgmt-datafactory/azure.mgmt.datafactory.models.httpdataset?view=azure-python) that will provide me the below features that I can see when created manually from portal. Manual creation (from portal): Create HTTP Dataset -> Select Format (Excel) -> I get the below page which
NetCore 3.1: How to execute python.exe using Process on Azure?
I have a NetCore3.1 server app. On my local setup I can use Process to execute python to do some dataframe crunching that I have installed in a venv. On Azure, I can use site extensions to install a local copy of python and all my needed libs. (It’s located in D:/home/python364x86/). Now on my published Azure app, I want
Does Microsoft MSAL have Resource Owner Password Credentials Grant authorization support?
Does MSAL have Resource Owner Password Credentials Grant authorization[https://learn.microsoft.com/en-us/azure/active-directory/develop/v2-oauth-ropc] support? Answer Yes, MSAL for Python supports ROPC flow(Resource Owner Password Credentials Grant), sample here.
How to run a python script on Azure for CSV file analysis
I have a python script on my local machine that reads a CSV file and outputs some metrics. The end goal is to create a web interface where the user uploads the CSV file and the metrics are displayed, while all being hosted on Azure. I want to use a VM on Azure to run this python script. The script
How to deploy deep learning models in cloud? [closed]
Closed. This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 2 years ago. Improve this question I have built a deep learning model with python using keras (LSTM classifier for emotion speech recognition) and it’s works perfectly locally, but when i