djangoproject

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https://nordicapis.com/when-to-use-what-rest-graphql-webhooks-grpc/ When to Use What: #REST, #GraphQL, #Webhooks, & #gRPC

https://github.com/ruddra/docker-django

https://anthony-monthe.me/weblog/2018/01/02/50-tips-maintain-django-reusable-app/ #django#app

https://nesdis.github.io/djongo/ #Django#MongoDB connector

https://blog.doordash.com/tips-for-building-high-quality-django-apps-at-scale-a5a25917b2b5 Tips for Building High-Quality #Django Apps at Scale: Be careful about “applications” Organize your apps inside a package Explicitly name your database tables Avoid GenericForeignKey Keep migrations safe Squash your migrations Reduce migration friction Avoid Fat Models Be careful with signals Avoid using the ORM as the main interface to your data Don’t cache Django models #learn

https://code.tutsplus.com/tutorials/10-insanely-useful-django-tips--net-974 10 Insanely Useful #Django Tips There are quite a few great little tricks and tips one could use on their Django projects that would speed up development and save many headaches in the long run. From basic to obscure, these tips can help any skill-level of programmer become more adept with Django and all it's glory. 1. Use relative paths in the configuration 2. Use the {% url %} tag 3. Use Django admin for your PHP apps 4. Use a separate media server 5. Use the Debugger Toolbar 6. Use Django Unit Testing 7. Use a Cheatsheet 8. Utilize django-chunks 9. Utilize Memcache 10. Stop hacking scripts together and just use Django

https://github.com/Djeact/Djeact-RoadMap What is Djeact? The name of Djeact comes from the combination of Django and React. Django is a python web framework and React is a javascript library for building user interfaces. Djeact is a set of libraries which the backend is written by django and the UI is written with react. Following libraries have been written so far: Why #Djeact started? Why #Django was chosen for #backend? Why #React was chosen for #frontend? Why #MIT#License?

Asynchronous #celery celeryproject.org Distributed task queue. #flower pypi.python.org/pypi/flower Tool for monitoring and management of Celery tasks. #django-channels pypi.python.org/pypi/django-channels Official Django websockets interface, can also be used as task queue. #rq pypi.python.org/pypi/rq RQ is a simple, lightweight, library for creating background jobs, and processing them. #django-rq pypi.python.org/pypi/django-rq A simple app that provides django integration for RQ (Redis Queue). #django-background-#tasks github.com/arteria/django-background-tasks Database backed asynchronous task queue.

https://medium.com/@hassanabid/creating-react-native-apps-with-django-rest-api-59e8417865e9 Creating React Native apps with Django rest-api I will really appreciate if you support the project by clicking star on Github repository. I will publish new version soon! https://github.com/hassanabidpk/react_pyconlunch Last week, I delivered a talk about Django for #mobile applications at Pycon Korea. Over the past 6 years, I have been mostly developing mobile applications and contributing to company’s SDKs. Things have changed over past couple of years, as I am no more depending on backend developers to spin off a server for me. Neither I am interested to use automated services like Parse (RIP) or Firebase which hides the complexity and elegance of a backend for mobile applications. I decided to use Django as backend for my mobile applications. Its flexible, stable and customizable. In this blog post, I am going to share basic steps for developing a #React Native app with #Django_rest_api.

https://github.com/pypa/virtualenv/issues/1059 Earlier today I installed python3.6 on my debian machine. Python3.6 was made available in buster distribution. When I try to create a virtualenv with python3.6. python3.6 -m venv venv gives the following error. The #virtual_environment was not created successfully because ensurepip is not available. On Debian/Ubuntu systems, you need to install the python3-venv package using the following command. apt-get install python3-venv You may need to use sudo with that command. After installing the python3-venv package, recreate your virtual environment. Failing command: ['/home/float/test/t/bin/python3.6', '-Im', 'ensurepip', '--upgrade', '--default-pip'] I do have python3-venv (3.5.3-1) installed. Why do I get this error? If I run the command py3 -Im ensurepip —upgrade —default-pip it says /usr/bin/python3.6: No module named ensurepip I don't have trouble creating virtualenvs using the default python3 version (3.5.3). Also , I noticed that I can create a virtualenv as follows: #virtualenv -p python3.6 #venv