Solved: Re: web app for demo

Naveen73 · 01-30-2023 01:15 PM

Hi,

I am new here on Google Cloud. My goal is to have a space where I can build a Python app and upload it for people to see it in action.

Just started with a course on Google BigQuery as I want to be more familiar with Google Cloud Platform.

Where is the best place to start please?

Thanks,

Naveen

kolban

Howdy. That's a pretty broad set of questions 🙂 ... If you want to host a Python app, then you have options such as Compute Engines which give you cloud based virtual machines (Linux or Windows) into which you can deploy arbitrary code. You can install either a Web server or run your app as a flask (or other server) environment. If you need to serve up static web pages, Google Cloud Storage is potential option.

BigQuery is a Google data warehouse that uses SQL for queries.

Recommending how to study Google Cloud as a whole is hard as it is has many different dimensions. That doesn't mean its complex, just that there are so many facets to it. If you are a developer, that's one path. If you are an AI/ML data scientist another path. If you are a data analyst, yet another path ... and so on.

My recommendation is to "follow the breadcrumbs". Think of what you want to achieve as an outcome and follow that one path. As you hit puzzles and questions, do a search and a reading. If the answers don't immediately fall into place then you have come to the right place through this community and keep the questions coming.

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kolban

Howdy. That's a pretty broad set of questions 🙂 ... If you want to host a Python app, then you have options such as Compute Engines which give you cloud based virtual machines (Linux or Windows) into which you can deploy arbitrary code. You can install either a Web server or run your app as a flask (or other server) environment. If you need to serve up static web pages, Google Cloud Storage is potential option.

BigQuery is a Google data warehouse that uses SQL for queries.

Recommending how to study Google Cloud as a whole is hard as it is has many different dimensions. That doesn't mean its complex, just that there are so many facets to it. If you are a developer, that's one path. If you are an AI/ML data scientist another path. If you are a data analyst, yet another path ... and so on.

My recommendation is to "follow the breadcrumbs". Think of what you want to achieve as an outcome and follow that one path. As you hit puzzles and questions, do a search and a reading. If the answers don't immediately fall into place then you have come to the right place through this community and keep the questions coming.