If you’re Googling (or asking an LLM) what the biggest challenge to creating an app with Python is, you’ll probably come around to the same links as everyone else: somewhere in between deploying and scaling. So you’ll read titles or phrases such as:
- I think in general, Python's biggest challenge is that it doesn't scale well. (Seen on HackerNews)
- It seems like there is no one “best way” to deploy Python applications. (Seen on Reddit)
- Deployment is harder than coding. (Seen on a developer’s blog)
- I love writing Python, but deploying it does not spark joy at all, at all. (Seen on HackerNews)
- There are two common things that make deployments hard. The first is if your deployment is manual. (Seen on Reddit)
- Python currently has [only] half of a good deployment story [out of ten deployment scenarios]: running an application on a server, as a back-end. (From 2015, seen on Deciphering Glyph. Still rings true)
So, how do you create an app with Python and sort out these problems? We’ll give you a rundown.
How to create an app with Python: What to look for
If you want to create an app with Python, you should seek what the easiest way to write it and run it is. And the easiest way to create an app with Python is by drawing upon a framework-agnostic provider, which can help you deploy and scale your app. So this means that you’ll be able to code, run it, and then let the infrastructure provider take care of everything else.
If developers look for platforms that can handle all of this, they’ll be focusing on writing APIs or web apps and not on suffering the pains of deploying or scaling.
What you’ll need to create an app with Python: A checklist
This is what you’ll need to create a Python app or an agent using Python.
- A Python environment: Python installed with a code editor.
- A Framework: Like Flask, FastAPI or Django.
- A Cloud Provider with Custom URLs: You can run your app in a traditional PaaS or in a serverless platform for full-stack apps.
- A Repo: Of course. GitHub will do. But so you should check that your cloud provider has integrations with GitHub.
- A Database: Not mandatory, but you’ll need it if you have to store data.
- External APIs or Python Libraries: For more functionalities.
How to simplify development in Python apps
Developers might find some pain points or others, but, from what we attested through some quotes, it’s clear that plenty of Python devs struggle with deploying and scaling. Considering you’re getting into Python apps by way of first having programmed in a different language, you should be fine when writing code. But you might find yourself struck by surprise when you need to run the app without it crashing every time it’s under pressure.
So, one of the quickest ways to simplify development of Python apps is by partnering up with a provider or platform that can handle the most straining part of developing. Since developing also, in due time, leads to deployment, then having a platform that can handle that automatically is certainly a way to make Python more simple.
How serverless providers can help create a Python apps
Serverless is a cloud computing paradigm in which the provider takes care of everything on the server-side of things. So, in serverless, there are servers, indeed. But you won’t know about that. The idea is that the provider solves scaling, security, and availability for you so you can focus on coding in Python or any other language.
When you check video tutorials on how to create a Python app, you’ll notice that the longest segment is usually the last: The part where the dev deploys and runs their app in a custom URL. (If you’ve been checking our tutorials linked above, you’ll notice this part is remarkably straightforward in those step-by-step guides).
What an ideal serverless platform should do for a Python developer
So when you’re following a tutorial to create a Python app in Flask, Dango, or FastAPI, you should, before you even code, think about where you’ll be deploying. Going serverless is a good move. The ideal serverless platform that you should shop for automates backend deployment so you focus on code. It handles servers and scales apps without manual setup. The platform should also standardize deployment steps for Python or other languages (which means you can share the platform with your Express buddies).
Since manual deployment is difficult, an ideal serverless platform removes manual tasks with one-click cloud hosting, and manages dependencies and environment issues for you. And built-in tools simplify databases, APIs, and real-time features. This is the kind of platform you should be looking for.
Create an App in Python with Genezio
When creating an app with Python, you’ll want a platform that streamlines the most challenging parts—like deployment, scaling, and managing dependencies—so you can focus on writing clean, efficient code. Look for a provider that supports multiple frameworks, integrates with GitHub, and offers built-in tools for databases and APIs. A great platform should also handle backend automation, security, and infrastructure management, so you don’t have to worry about configuring servers manually.
One such place to run Python apps is Genezio. Genezio is a framework-agnostic cloud platform for full-stack developers. We know that Python developers will need a place to run their webapps with a custom domain. That’s why we now fully support deploying Python frameworks like Django, Flask, FastAPI. Genezio makes it easy to build Python applications across various use cases, like a Hello Word app (we’ll get to that) but also webapps or APIs. This is a user-friendly, auto-scalable, performance-oriented Function-as-a-Service platform designed to facilitate cloud application development and deployment. Since it’s a platform designed by developers and for developers, it has addressed all the pain points you’ve read on the web. With this platform, you can also automate your deployment and import your projects from GitHub.
Genezio is also the most affordable serverless hosting available. The Hobby plan is completely free, and it’s great for prototyping or showing off side projects. And the best part is you can stay on it for as long as you want.
Create an app with Python through Genezio
In the end, the best way for a developer to create an app with Python is to choose a platform that enables that code to run efficiently in a live environment. Genezio makes it easier than ever to deploy, scale, and manage Python applications. Whether working on a personal project or a production-level application, Genezio ensures that deployment is smooth, scalable, and worry-free.
Genezio is built for developers who want flexibility without complexity. With an affordable, developer-friendly pricing model, you can start for free and scale as your app grows.
So why wait? Sign up now and build your Python app today with Genezio!