Django community: Django links RSS
This page, updated regularly, aggregates Django links from the Django community.
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JSONField Models in Graphene Django | Open GraphQL
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Reining in the thundering herd ⛈ Getting to 80% CPU utilization with Django
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Django Model Behaviors
"As Django projects scale in complexity beyond the neat and tidy tutorial phase, how can we structure our models to keep things manageable?" -
How to easily handle admin authentication and permissions in Django with Okta | Theodo
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Htmx in Django Python tutorial series (htmx stuff starts at part 65)
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Why I Run Django on Kubernetes as a One-Man SaaS
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Reining in the thundering herd ⛈ Getting to 80% CPU utilization with Django
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Efficient Pagination in Django and Postgres
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PatrOwl - Open Source Security Operations Orchestration Platform
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Reining in the thundering herd ⛈ Getting to 80% CPU utilization with Django
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python - DRF won't send a raw JSON string to browser. it returns a string that is JSON, want to bypass calling json.load - Stack Overflow
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Neo4j for Django Developers
From zero to deployment with Django-Neomodel and Neo4j’s Paradise Papers dataset. -
Running Django-Neomodel within a Docker Container
A quickstart guide for posterity, using the example in Django-Neomodel -
Register Your Neo4j-Based Models to Django Admin
Walkthrough on registering Neo4j-based models to django admin. -
Resotrack: Exploring the Resonate API with Django-Neomodel on Aura
Resotrack (demo, code), a django app demonstrates how to use Neo4j to suggest popular, relevant tracks from Resonate’s music catalog -
henriquebastos/python-decouple: Strict separation of config from code.
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mazdakb/django-naqsh: Naqsh is a bootstrapping tool for quickly creating production-ready Django web services.
Naqsh is a bootstrapping tool for quickly creating production-ready Django web services. - mazdakb/django-naqsh: Naqsh is a bootstrapping tool for quickly creating production-ready Django web services. -
Built-in template tags and filters | Django documentation | Django
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Reining in the thundering herd ⛈ Getting to 80% CPU utilization with Django
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Reining in the thundering herd ⛈ Getting to 80% CPU utilization with Django
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Reining in the thundering herd ⛈ Getting to 80% CPU utilization with Django
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Reining in the thundering herd ⛈ Getting to 80% CPU utilization with Django
TIL Clubhouse's backend is in #django (at least partially) and they managed to hit WebScale™ (with bumps) with just 2 to 6 engineers. -
Reining in the thundering herd ⛈ Getting to 80% CPU utilization with Django
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Reining in the thundering herd ⛈ Getting to 80% CPU utilization with Django
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Postgres Full-Text Search: A Search Engine in a Database