Django community: RSS
This page, updated regularly, aggregates Django links from the Django community.
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GitHub - jazzband/django-defender: A simple super fast django reusable app that blocks people from brute forcing login attempts
A simple Django reusable app that blocks people from brute forcing login attempts. The goal is to make this as fast as possible, so that we do not slow down the login attempts. We will use a cache so that it doesn't have to hit the database in order to check the database on each login attempt. The first version will be based on Redis, but the goal is to make this configurable so that people can use whatever backend best fits their needs. -
Django vs. Flask in 2019: Which Framework to Choose | TestDriven.io
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jessielaf/django-scan-models: Django scan models: A validator agnostic parser for django models to frontend validation
A means of making client-side validation from Django models. -
marcelovicentegc/django-react-typescript: A boilerplate with Django on the backend, React on the frontend, and much more!
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Using Postgres Row-Level Security in Python and Django
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Distributed Locking in Django | Lincoln Loop
Different approaches to ensuring that a block of code is never run in parallel (ie once the code is executing others who wish to run it must wait) -
Django 3.1 Async
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Writing your first Django app, part 1 | Django documentation | Django
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Async Views in Django 3.1 | TestDriven.io
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How to Use RESTful APIs with Django
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Async Views in Django 3.1 | TestDriven.io
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XSS Exploitation in Django Applications
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Tech Blog — Serhat Teker
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How to Use Grouping Sets in Django | Haki Benita
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Python & Django Syllabus
https://www.reddit.com/r/learnprogramming/comments/i9vuhr/i_wrote_a_syllabus_for_learning_python_and_django/ -
Learn Wagtail
Learn how to create Wagtail websites with over 50 free tutorial videos and a professional beginners course. -
Using Postgres Row-Level Security in Python and Django
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Caching and scaling for Django | Eralp Bayraktar - Python/Django Developer
Caching and Scaling for web frameworks (examples with Django) -
Did you know that you can use filesystem as broker transport with celery? : django
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Django Views - The Right Way
An opinionated take on Django views featuring the debate between Function Based Views vs Class Based Views. A very well argued piece. -
abrookins/quest: Example app for the book The Temple of Django Database Performance, 2nd Edition
This is the example code for the book The Temple of Django Database Performance by Andrew Brookins. -
Raspberry Pi Network Server Guide with Django & SSH | Post | Coding For Entrepreneurs
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How Secure Are Popular Web Frameworks? Here Is a Comparison | Veracode Blog
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Pysa: Open Source static analysis for Python code - Facebook Engineering
Today, we are sharing details about Pysa, an open source static analysis tool we’ve built to detect and prevent security and privacy issues in Python code. Last year, we shared how we built Zoncolan, a static analysis tool that helps us analyze more than 100 million lines of Hack code and has helped engineers prevent thousands of potential security issues. That success inspired us to develop Pysa, which is an acronym for Python Static Analyzer. Pysa is a security-focused tool built on top of our type checker for Python, Pyre. It’s used to look at code and analyze how data flows through it. Analyzing data flows is useful because many security and privacy issues can be modeled as data flowing into a place it shouldn’t. Pysa helps us detect a wide range of issues. For example, we use it to check whether our Python code properly makes use of certain internal frameworks, which are designed to prevent access to, or disclosure of, user data based on technical privacy policies. Pysa also detects common web app security issues, like XSS and SQL injection. Like Zoncolan has done for Hack code, Pysa has helped us scale our application security efforts for Python, … -
Hire World Class Django Developers - Capital Numbers
