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Django Q on Windows We're developing with Django Q and Mac OS and it runs on our Linux Servers. Now we hired external developers which work on Windows machines and we discovered that Django Q is not working on Windows due to missing fork implementation. Does anyone use Django Q on Windows? answer: Use #Docker with local windows code directory mounted inside container, run the docker container interactively and forward a port 8000 to host machine, then run migrations, test server and other stuff inside the container.

http://www.bogotobogo.com/python/python_redis_with_python.php Redis with Python In order to use #Redis with Python, we will need a Python Redis #client. In following sections, we will demonstrate the use of redis-py, a Redis Python Client. redis-py requires a running Redis #server. See Redis Install for installation.

https://realpython.com/blog/python/caching-in-django-with-redis/ Caching in #Django With #Redis Application performance is vital to the success of your product. In an environment where users expect website response times of less than a second, the consequences of a slow application can be measured in dollars and cents. Even if you are not selling anything, fast page loads improve the experience of visiting your site. Everything that happens on the server between the moment it receives a request to the moment it returns a response increases the amount of time it takes to load a page. As a general rule of thumb, the more processing you can eliminate on the server, the faster your application will perform. Caching data after it has been processed and then serving it from the #cache the next time it is requested is one way to relieve stress on the server. In this tutorial, we will explore some of the factors that bog down your application, and we will demonstrate how to implement caching with Redis to counteract their effects.

Introduction to event-driven architectures with RabbitMQ. #article#tutorial#rabbitmq @thedevs https://kutt.it/XOv5yT

https://gist.github.com/Yogendra0Sharma/5aa96ebfd0854623a5451c53672088d5 Guide on how to create and set up a Dockerized web app using #Django REST APIs and #React #docker

https://github.com/safarijv/kubelib If you're adopting Kubernetes as an orchestration system for #machine_learning jobs, the last thing you want is for the mere act of using Kubernetes to create more problems than it solves. Kubelib provides a set of Pythonic interfaces to #Kubernetes, originally to aid with Jenkins scripting. But it can be used without Jenkins as well, and it can do everything exposed through the kubectl #CLI or the Kubernetes #API.

记录一下 Docker默认安装到C盘，由于众所周知的原因，需要更改Docker的安装位置 Docker for Windows 安装到其他盘教程 1. https://www.docker.com/ 下载安装exe 2. 在下载目录打开Cmd "Docker Desktop Installer.exe" install --installation-dir="D:\Docker" 3.完成后续安装 4.还需要在Docker设置中更改储存路径为D盘（可以为安装目录的一个子目录）(请以管理员身份运行) 注意： 1.需要提前建好文件夹，否则会报错 2.Docker不允许更改已有安装位置，若已安装Docker请先卸载再执行，注意备份 #Docker

https://gist.github.com/genomics-geek/98929a9e7ba9602fed7bfa4a5a1c5c4e Guide on how to create and set up a Dockerized web app using #Django_REST_APIs and #ReactJS #Docker

Rocket Redis, a graphic user interface for managing Redis databases with ease. #tools#redis#database @thedevs https://kutt.it/lHIGkJ

http://www.aparat.com/v/4yGhH #Geolocation apps with #Django. Latitude, longitude, altitude, and even #iBeacons can be leveraged to enable geo-targeted experiences. But how do we build and optimize the server-side components to handle these requirements? Using a combination of libraries and techniques, we will illustrate these concepts. In this discussion everything from #map clustering and caching, to distance calculations and polygonal layering will be demonstrated using Django, #GeoDjango, #Redis, and #PostGIS as our tool belt.