This free reference guide will take you back to the basics. You’ll find visuals and definitions on key concepts and questions you need to answer about your teams to determine your readiness for continuous delivery. Download and share with your team.
Welcome to the second part of our Django Tutorial! In the previous lesson, we installed everything that we needed. Hopefully, you are all setup with Python 3.6 installed and Django 1.11 running inside a Virtual Environment. We already created the project we are going to play around. In this lesson, we are going to keep writing code in the same project.
LocustIO, an open source tool written in python, is used for load testing of web applications. It is simple and easy to use with web UI to view the test results. It is scalable and can be distributed over multiple machines. This article demonstrates an example to use locust for load testing of our django web application.
This Impact Report aims to celebrate achievements of the Django Girls community in the past two years, and showcase the incredible growth of the organization. For the first time ever, we're also presenting results of a survey we conducted with almost 600 past Django Girls attendees to see if Django Girls Foundation actually achieves the goal of our mission: to bring more women into tech industry!
In this article you will learn how to build a simple REST API using Django REST Framework. The code in this article was written with Python 3.6, Django 1.11 and DRF 3.6 in mind.
In my case, I wanted to use my existing Django Rest Framework (DRF) Token authentication endpoints alongside GraphQL. I'll be using a class-based view approach for Django, DRF, and Graphene.
Writing resilient code that can handle task failure is important for maintaining modern functional systems. We’ll be going over how to retry asynchronous tasks with celery in python, commonly used in django applications.
The Indian Edition of the awesome Two Scoops of Django 1.11 is now on Flipkart and Amazon. Rejoice Django Developers from Indian.
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In this article, I'm going to walk through deploying a Django application to AWS using Nanobox. Nanobox uses Docker to provision local development environments, local staging environments, and scalable, highly-available production environments on AWS.
Suppose you want to build a new SaaS (Software as a Service) application. Suppose your application will store sensitive data from your customers. What is the best way to guarantee the isolation of the data and make sure information from one client does not leak to the other? The answer to that is: it depends. It depends on the number of customers you are planning to have. It depends on the size of your company. It depends on the technical skills of the developers working on the platform. And it depends on how sensitive the data is. In this article, I'll go over some of the architectures you can adopt in your application to tackle this problem and how to apply them in Django.
The book is available both for free and for money. It's all about TDD and Web programming. Read it here!.
Django Rest Framework(DRF) provide a extremely convenience way to develop RESTful apps. Such as generics module, which contains many useful APIView based on the request method.
A description, step by step of how I builded my docker django image, how i loaded it on docker hub and how can be use it and customized.
Django cache backend with automatic granular invalidation.
This is a very simple library that can be used to provide affiliate links in your django application. It is intentionally very lightweight, allowing your application to do whatever it wants with the data.