fastapi VS Flask

The goal of the back end is to act as a wrapper for a model so that it can be queried via HTTP requests from the front end, something referred to as model serving. In order to do so, one would typically use a web framework. For a long time, Flask was the standard for Python-based web frameworks, and is indeed still very popular. However, FastaAPI is quickly becoming the new favorite, thanks to impressive performance and native support for asynchronous operations. This article is a good starting point to understand how a simple model can be deployed using FastAPI, while this tutorial provides a complete overview of all the steps required to serve a PyTorch model with GPU support.

As of today, FastAPI doesn't have any project generator like other known web frameworks ex: Django, Rails, etc., which makes creating new projects based on it that much more time-consuming. The idea behind this package is that one can generate a new project with one command and then start implementing endpoints logic straightaway, rather than creating the whole project from scratch. Moreover, the project is structured in MVC architectural pattern to help developers who don't know FastAPI yet but are familiar with MVC to get up to speed quickly.

FastApi

I've borrowed ideas from FastAPI.

While humans are notoriously awful at multitasking, machines can see significant performance benefits from this practice, as they are generally better suited to start and stop work without the extraneous overhead. This concept is the "secret sauce" of frameworks such as FastAPI, an asynchronous Python framework that self-proclaims performance to be "on par with NodeJS and Go" (I promise to write a fair share on FastAPI another time).

From https://fastapi.tiangolo.com/

Interesting thread on FastAPId claim for being fast: https://github.com/tiangolo/fastapi/issues/1664

I loved FastAPI in Python. Excellent documentation. It even goes into details of things that are typically assumed to be known (e.g. Python types, concurrency, etc.). It also provides helpful links to understand the basics of web frameworks.

I've just started my personal blog (link in bio), never done this before, but I'm looking forward to eventually get some money from my blogging activities. My first idea was to serve some ethical ads - I don't want anything that tracks the visitors, obviously. Something like a sponsorship banner, or, maybe, a precisely targeted context ad with the exact hit to the tune of my blog.

I'm talking about something like the banners in the header of FastAPI website[1], look pretty neat. Is it just cold emailing for those, who use the said framework, or are there providers of such sponsored banners?

Where should I look for the advertisers providing ethical ads? Which companies have you dealt with? I'm aware of EthicalAds.io, but it looks like I'd have to be an established publisher to qualify.

Maybe, you'll advise against serving such ads and share your experience of utilizing some other type of blog monetization?

Thanks in advance!

[1] https://fastapi.tiangolo.com/

FastApi - FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

The goal of the back end is to act as a wrapper for a model so that it can be queried via HTTP requests from the front end, something referred to as model serving. In order to do so, one would typically use a web framework. For a long time, Flask was the standard for Python-based web frameworks, and is indeed still very popular. However, FastaAPI is quickly becoming the new favorite, thanks to impressive performance and native support for asynchronous operations. This article is a good starting point to understand how a simple model can be deployed using FastAPI, while this tutorial provides a complete overview of all the steps required to serve a PyTorch model with GPU support.

Not sure if it's what you're looking for but I typically use the tutorial or the tutorial github. This is really just a templates and static folder with the blueprints in the main dir though.

You can then make inside the docs directory to build them locally: https://github.com/pallets/flask/tree/main/docs

from collections import OrderedDict>>>>>> json_data = {... "11": {... "j_id": "out",... },... "aa": {... "j_id": "in",... },... "bb": {... "j_id": "out",... },... }>>>>>> jkeys=json_data.keys()>>> sorted_json = sorted(jkeys, key=lambda x: json_data[x]['j_id'], reverse=False)>>>>>> new_sorted=OrderedDict()>>> for rec in sorted_json:... new_sorted[rec]=json_data[rec]...>>> print('sort dict: {}'.format(new_sorted))sort dict: OrderedDict([('aa', {'j_id': 'in'}), ('11', {'j_id': 'out'}), ('bb', {'j_id': 'out'})]) ``` Unfortunately, when I pass this to jsonify() function and then for example console.log() output of flask data, the orderd becomes like that: 11, aa, bb. Additionally to that, I've done some research and found this stackoverflow answer, leading to some good documentation notes which clearly states that setting JSON_SORT_KEYS to False is not recommended way. Then I checked this github issue and it seems that problem is not fully resolved in flask.

Flask is a straightforward framework for Python web development that makes it easy to get started on your web applications.

We're using Flask as our web server because it is very lightweight, so we'll want to install that next.

If your app is really small/short, you're only fetching crime data and rendering a static image, you can probably do it all with a Cloud Function. This way you don't even need to have nor learn about nor use full web frameworks like Flask, Django, Pyramid, etc. Just raw code plus an HTML template and perhaps a tiny bit of Flask/Jinja2 to render the template.

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