This blog describes about how to work with django-plugins. Django Plugin is a Simple Plugin Framework for Django. By using django-plugins, you can make your app more reusable. By using it, you can define plugin points and plugins. It comes with many features like synchronization with database, plugins management from django admin and many more.
Plan your tasks in a smart way to achieve success in your life. Here are some tips to help you work smarter so you can be more productive at work.
Prioritize your work/tasks to achieve success in your project, Prioritize your tasks based on client requirements. Any guy can work on a project, but the trick is to know how. Prepare your tasks like a list by priority wise on each day. Having priorities and knowing what they are will help you meet goals.
Tip: We have to download the newest version of the library and include it in the HEAD or at the end of the BODY section.
In this blog, I'm going to explain you how to write the Sphinx docs using reStructuredText to host in the Read the Docs.
Installing Sphinx $ pip install Sphinx
And we have script called sphinx-quickstart in Sphinx that sets up a source directory and creates a default conf.py with the most useful configuration values from a few questions it asks you. Just run the following command- $ sphinx-quickstart
We use sorl-thumbnail for scaling images by keeping the original one intact. Sorl proven to be great tool for generating different sized images throughout website. I presume that you know how to use sorl-thumbnail. Here we see how to preserve filename. Search Engines will give importance to image alt tag content but it definately have some impact on relevant image file name too.
Fabric is a Python library and command-line tool with the ability to execute commands on a remote server. It is designed to use SSH to execute system administration and deployment tasks on one or more remote machines.
Ansible is one of the few automation tools which uses an agentless architecture, where you dont need to install daemons in client nodes for interacting with controlling system. It combines multi-node software deployment, ad hoc task execution, and configuration management.
While handling Large amounts of data with elasticsearch, you may run out of server capacity or compute power, Forming a Elasticsearch cluster will reduce the load distribution. In Single ElasticSearch Instance end point acts as Data Node + Master Node + Client Node.