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Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user. Quick links¶
- Utilities
Utilities - Tornado Web Server — Tornado 6.4.1 documentation
- Stable
Stable - Tornado Web Server — Tornado 6.4.1 documentation
- Latest
Latest - Tornado Web Server — Tornado 6.4.1 documentation
- Branch5.1
Branch5.1 - Tornado Web Server — Tornado 6.4.1 documentation
- Branch4.5
Branch4.5 - Tornado Web Server — Tornado 6.4.1 documentation
- Branch6.0
Branch6.0 - Tornado Web Server — Tornado 6.4.1 documentation
- Introduction
Introduction - Tornado Web Server — Tornado 6.4.1...
- User's Guide
User’s guide. Introduction. Asynchronous and non-Blocking...
- Utilities
Dec 26, 2023 · Tornado is a Python web framework and a library for async networks. It is meant for non-blocking, highly effective apps. Tornado has become popular because it can handle large numbers of simultaneous connections easily.
Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user.
- Tornado Startup and Configuration
- The Basics of async in Python and The I/O Loop
- Tornado Routes and Views
- Connecting The Database
- Revisiting Views
- Asynchronous View Methods
- Thoughts About Using The Right Tool For The Right Job
- Going Forward and A Little Perspective Check
- Huge Shout-Out to The Python BDFL
- GeneratedCaptionsTabForHeroSec
If you've been following along with this series, what we do first shouldn't come as much of a surprise. Create a setup.pyfor installing our application: Because Tornado doesn't require any external configuration, we can dive right into writing the Python code that'll run our application. Let's make our inner tododirectory and fill it with the first...
Allow me to preface by saying that I am absolutely, positively, surely, and securely not an expert in asynchronous programming. As with all things I write, what follows stems from the limits of my understanding of the concept. As I am human, it may be deeply, deeply flawed. The main concerns of an asynchronous program are: 1. How is data coming in?...
Despite having gone through all the trouble of talking about async in Python, we're going to hold off on using it for a bit and first write a basic Tornado view. Unlike the function-based views we've seen in the Flask and Pyramid implementations, Tornado's views are all class-based. This means we'll no longer use individual, standalone functions to...
If we want to hold onto data, we need to connect a database. Like with Flask, we'll be using a framework-specific variant of SQLAlchemy called tornado-sqlalchemy. Why use this instead of just the bare SQLAlchemy? Well, tornado-sqlalchemy has all the goodness of straightforward SQLAlchemy, so we can still declare models with a common Base as well as...
Hello, World is always nice for learning the basics, but we need some real, application-specific views. Let's start with the info view. So what changed? Let's go from the top down. The SUPPORTED_METHODS class attribute was added. This will be an iterable of only the request methods that are accepted by this view. Any other method will return a 405 ...
Now that we've built our BaseView, we can build the TaskListViewthat will inherit from it. As you can probably tell from the section heading, this is where all that talk about asynchronicity comes in. The TaskListView will handle GET requests for returning a list of tasks and POST requests for creating new tasks given some form data. Let's first lo...
What we're starting to see as we continue to move through these web frameworks is that they can all effectively handle the same problems. For something like this To-Do List, any framework can do the job. However, some web frameworks are more appropriate for certain jobs than other ones, depending on what "more appropriate" means for you and your ne...
Speaking of using the right tool for the right job, keep in mind the scope and scale, both present and future, of your application when choosing your framework. Up to this point we've only looked at frameworks meant for small to midsized web applications. The next and final installment of this series will cover one of the most popular Python framew...
I must give credit where credit is due. Massive thanks are owed to Guido van Rossumfor more than just creating my favorite programming language. During PyCascades 2018, I was fortunate not only to give the talk this article series is based on, but also to be invited to the speakers' dinner. I got to sit next to Guido the whole night and pepper him ...
Learn how to use Tornado, a bare-bones framework that handles asynchronous tasks, to build a web app. See the setup, configuration, and routing of Tornado with examples and explanations.
Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user.
User’s guide. Introduction. Asynchronous and non-Blocking I/O. Blocking. Asynchronous. Examples. Coroutines. Native vs decorated coroutines. How it works.
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Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user.
