mojo VS Django

https://github.com/modularml/mojo/blob/main/LICENSE Is this not it?

Interesting, but the intent seems similar to Chris Lattner's new Mojo language which arguably has similar characteristics and is further along in its development.

https://docs.modular.com/mojo/

Mojo is a programming language that combines the performance and control inherent in systems languages like C++ and Rust with the flexibility and simplicity of use typical of dynamic languages like Python. Because of its combination of performance, extensibility, and usability, its design makes it possible to construct high-performance systems, which makes it a good option for AI development.

If you take a look at the optimized Mojo code doing the matrix multiply [1], it takes an expert to understand. It’s not just some simple for-loops in Mojo they’re comparing against.

[1] https://github.com/modularml/mojo/blob/5ce18c47a27c0c4123de1...

Mojo truly unlocks a world of possibilities in high-performance computing.

For a concrete example of Liquid Haskell, see how Gabriella Gonzalez safely removed bound checks of high-performance protocol parsing, in "Scrap your Bounds Checks with Liquid Haskell" [1].

With Liquid Haskell, the bound checks are moved from runtime to compile time, semi-automatically handled by SMT-solvers. With static types, programmers can write correct programs faster, and the programs also run faster.

As an aside, speeding up programs with static analysis (constrained dynamism) are also present in Mojo (a variant of Python) or Swift [2].

[1]: https://github.com/Gabriella439/slides/blob/main/liquidhaske... "Scrap your Bounds Checks with Liquid Haskell"

[2]: https://github.com/modularml/mojo/discussions/466 "Mojo and Dynamism"

>As an example, AutoCodeRover successfully fixed issue #32347 of Django.

This bug was fixed three years ago in a one-line change.[0] Presumably the fix was already in the training data.

[0] https://github.com/django/django/pull/13933

You should not test Django's own code — it's already been tested. For example, you don't need to write a test that checks if an object is retrieved with get_object_or_404 — Django's testing suite already has that covered.

Django is a high-level Python web framework that prioritizes rapid development with clear, reusable code. Its batteries-included approach supplies most of what you need for complex database-driven websites without turning to external libraries and dealing with security and maintenance risks. In this tutorial, we will build a traditional "Hello, World" application while introducing you to the core concepts behind Django.

If you want to get into Python web development then Django can be a good place to start. https://www.djangoproject.com/

If found this:

Django's auth and session migration files are included with Django at https://github.com/django/django/tree/b287af5dc954628d4b336aefc5027b2edceee64b/django/contrib/auth/migrations and https://github.com/django/django/tree/b287af5dc954628d4b336aefc5027b2edceee64b/django/contrib/sessions/migrations

Dawn Wages’ name came up a few times in my call for nominations, and it’s easy to see why! Dawn is a Python Community Advocate at Microsoft. She is active in the Django community with an emphasis on people of color and queer people in tech. Dawn’s impressive resume includes OSS maintainer, member of the Wagtail Core Team, DjangoCon '21, '22, '23 Sponsorship Chair, volunteer for Django Girls, and DjangoCon Africa 2021 Sponsorship Chair.

In this Article, we create our own blog called CodeCraze using Django, a popular web framework written in python. Django is designed to help developers to rapidly build their web applications from concept to completion in an efficient way. Its a batteries included framework which provides out of the box functionalities such as ORM, API Integration, authentication, form handling & many more...

There are many models of access control, however, in this guide, we are going to focus on Role Based Access Control (RBAC) and how to implement it in Django.