Use Neo4j in Azure Devops or Azure Machine learning - python

I have a project in python. My goal is to create an article recommendation with Neo4j.
Here is what I did:
Web scraping articles
Clean the data
Insert the data into Neo4j
Use Neo4j algorithms (graph data science library)
Everything is working, but only on my laptop.
I would like to migrate my project on Azure devops and azure machine learning in order to have a web app.
I have an Azure account and I have created Azure ML and Azure Devops for this project but I don't know how I can use Neo4j in azure devops and azure machine learning. Maybe with a VM or a container ?

I don't know much about Neo4j but if this were my project I would focus on setting this up as a experiment pipeline run. You can go through all of your individual steps one-by-one.
your pipe steps:
Web collection
cleaning
Neo4j
I feel like you need a "modeling" step in there, or else why are you using AML?
Then deploy it to a web point in AML service.
Here is my example of script steps. You just need to replace the individual PythonScriptSteps with your code.

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How to Deploy Flask ML model in Google cloud

I have built three ML keras models for image classification and implement their weights in a Flask application for a comparative analysis about the testing accuracies. It works perfectly with the Flask server in the localhost.
Now I want to deploy this Flask app so it would be accessible anywhere for testing with new data.
I am new to cloud platform. Can you just guide me how to deploy this Flask app.
I have watched tutorials but Im not getting any relevant one about models weight above 700Mb. It would be great if u could help me to deploy this in Google Cloud.
You can use AI Platform within Google Cloud, is a service for develop, analyze or deploy customize models and implement it as a service.
This is the link. https://cloud.google.com/ai-platform?hl=es-419
I think that Compute engine (GCE) is the GCP product that matches with you use case,in compute engine you can upload your flask application.
Compute engine is technically a VM on the cloud, you can install an uninstall packages or SW without any limitation.
In this link you can find information about how to deploy a python web application on GCE.

Deploying Python script daily on Azure

I have a Python script that pulls some data from an Azure Data Lake cluster, performs some simple compute, then stores it into a SQL Server DB on Azure. The whole shebang runs in about 20 seconds. It needs sqlalchemy, pandas, and some Azure data libraries. I need to run this script daily. We also have a Service Fabric cluster available to use.
What are my best options? I thought of containerizing it with Docker and making it into an http triggered API, but then how do I trigger it 1x per day? I'm not good with Azure or microservices design so this is where I need the help.
You can use Web Jobs in App Service. It has two types of Azure Web Jobs for you to choose: Continuous and Trigger. As I see you need the type Trigger
You could refer to the document here for more details.In addition, here shows how to run tasks in WebJobs.
Also, you can use Azure function timer-based on python which was made generally available in recent months.

Python libraries in Azure

I have a requirement where I have to use the Python libraries I created on my machine, in the cloud, such that whenever any new dataset is loaded, this Python library have to start acting on it.
How can I do this? Where will I put the dataset and the python codes in Azure?
Thanks,
Shyam
There are more possibility to do that.
Run your Python code on Azure Web Apps for Containers—a Linux-based, managed application platform
Azure Functions allows running Python code in a serverless environment that scales on-demand.
Use a managed Hadoop and Spark cluster with Azure HDInsights, suitable for enterprise-grade production workloads.
Use a friction-free data science environment that contains popular tools for data exploration, modeling, and development activities.
Azure Kubernetes Service (AKS) offers a fully-managed Kubernetes cluster to run your Python apps and services, as well as any other Docker container. Easily integrate with other Azure services using Open Service Broker for Azure.
Use your favorite Linux distribution, such as Ubuntu, CentOS, and Debian, or Windows Server. Run your code with scalable Azure Virtual Machines and Virtual Machine Scale Sets.
Run your own Python data science experiments using a fully-managed Jupyter notebook with Azure Notebooks.
The easiest and fastest way to run your code is 1. option. Create a web app and a web job in there.

How to deploy and use custom python package on azure as a service and consume it

I have created a custom python package which has few machine learning algorithms in it.
I would like to deploy this custom python package on azure as a service that can be consume by my other applications like a batch job and a website.
I have bought an azure license but have no clue on the deployment strategy. Please advice
I'd recommend using the following documentation, it will allow you to Deploy Python application to Azure App Service using VSTS.The lab would provide you with the same skills to deploy your app to Azure App service.

Running scripts on cloud

I'm new to cloud computing domain. Here is what I've:
1) A domain.
2) A hosting space (on HostGator).
3) A Microsoft Azure account.
And here is what I need to do:
1) Take an input file from the user using HTML.
2) Processing the input file using a Python script.
3) Returning an output file generated by the script to the user.
How do I do this? Any rough steps?
I want to implement this using Microsoft Azure.
Though HostGator supposedly supports Python 2.7, I couldn't run my scripts there and got an Internal Server Error 500.
As Azure is a cloud platform which provides a growing collection of integrated services.You can leverage Azure Web Apps to approach your need.
You can build your python project on local first, then create a Web app on Azure portal, and deploy your project to Azure Web app with Git, FTP or Visual Studio.
Here is an official reference about how to deploy python project on Azure Web app step by step.
Also, you can configure a custom domain name in Azure Web Apps, for more information you can find in Configure a custom domain name in Azure App Service

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