Develop Reference

Is there a way to connect Python to an external sqlite3 database

I haven't been able to find any documentation regarding whether it's possible to access SQLITE3 (using Python) when the SQLITE database is hosted externally:
I have my SQLITE3 database hosted on my VPS (alongside some other stuff that doesn't really matter) - rather than having it as a local file with my Python program.
Therefore, is it possible for me to connect to the SQLITE database which is hosted on my VPS, or will the SQLITE DB have to be hosted locally for me to be able to do this?
The reason I want it to be accessible from my VPS is because I want to be able to run the program on multiple computers and them all have the same access to the database- if this isn't possible, are there any other options which would allow me to do this?

If you want to have a database server with external, possibly remote, applications interacting a client-server protocol switch to PostgreSQL, MariaDB, etc.
see: How to connect to SQLite3 database server?

Is there a way to programmatically DROP a SQL Database in Azure?

I am working on a process to automatically remove and add databases to Azure. When the database isn't in use, it can be removed from Azure and placed in cheaper S3 storage as a .bacpac.
I am using SqlPackage.exe from Microsoft as a PowerShell script to export and import these databases from and to Azure respectively in either direction. I invoke it via a Python script to use boto3.
The issue I have is with the down direction at step 3. The sequence would be:
Download the Azure SQL DB to a .bacpac (can be achieved with SqlPackage.exe)
Upload this .bacpac to cheaper S3 storage (using boto3 Python SDK)
Delete the Azure SQL Database (It appears the Azure Blob Python SDK can't help me, and it appears SQLPackage.exe does not have a delete function)
Is step 3 impossible to automate with a script? Could a workaround be to SqlPackage.exe import a small dummy .bacpac with the same name to overwrite the old bigger DB?
Thanks.

To remove an Azure SQL Database using PowerShell, you will need to use Remove-AzSqlDatabase Cmdlet.
To remove an Azure SQL Database using Azure CLI, you will need to us az sql db delete.
If you want to write code in Python to delete the database, you will need to use Azure SDK for Python.

Fetch data from MYSQL Database using AWS API

I'm pretty new to the AWS platform. I want to Fetch data from RDS MYSQL Database to my Python application using API. I couldn't find any relevant tutorial to achieve this task. It will be awesome If you could guide me or send a proper tutorial.

I couldn't find any relevant tutorial to achieve this task.
This is because such operation is not supported. To connect to your RDS database and get its data you have to use regular mysql tools, such as mysql cli, phpmyadmin or mysql workbanch.
You can only use AWS API for Mysql if you are using Aurora Serverless and its data api.

Connect to microsoft sql server (on prem) in Azure notebooks using python

Is it possible to connect to microsoft sql server (on-prem) using pyodbc in azure notebooks? Connecting to an azure sql db is possible but I can't find any documentation on the on-prem scenario.

Using Cloud SQL (Postgres) in Cloud Function

I'm trying to connect to Cloud SQL running PostgreSQL 11 using a Cloud Function Python script. Ideally, I want to connect to the DB using a simple pandas.DataFrame.to_sql() which requires a sqlalchemy.create_engine() to connect.
This is my current attempt (I've tried both with/without /.s.PGSQL.5432 suffix):
engine = sqlalchemy.create_engine('postgresql+psycopg2://USERNAME:PASSWORD#/DB_NAME?host=/cloudsql/INSTANCE_CONNECTION_NAME/.s.PGSQL.5432')
engine.connect()
I also try the code sample provided by Google which uses psycopg2 directly but also didn't work
Error: function crashed. Details:
could not connect to server: Connection refused
Is the server running locally and accepting
connections on Unix domain socket "/cloudsql/vida-production:us-central1:vida-ops/.s.PGSQL.5432"?
Edit:
Thanks #kurtisvg for pointing this out. Since the Cloud Function is trying to connect to Cloud SQL that is on a different project. I have to add the Cloud Function's service account to IAM of the Cloud SQL project.
After setting IAM, the Python code I use to connect sqlalchemy engine to Cloud SQL is this:
# Don't add the "/.s.PGSQL.5432 suffix" because it will already be added back automatically by the library...
engine = sqlalchemy.create_engine('postgresql+psycopg2://USERNAME:PASSWORD#/DB_NAME?host=/cloudsql/INSTANCE_CONNECTION_NAME')
engine.connect()

Make sure to check the following things:
Have the Cloud SQL Admin API enabled
Make sure the Functions default service account has the Cloud SQL Client IAM role
If you are connecting between two projects, make sure to enable the Admin API and grant permissions (for both projects) to the Service Account that is running the function you are trying to connect from.