Simple-Magento-Vagrant -- ultra light Vagrant development environment for running Magento CMS
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Updated
Jul 23, 2018 - Shell
Simple-Magento-Vagrant -- ultra light Vagrant development environment for running Magento CMS
This package will gives you random data of user. It can be used for mock data and used for sample data.
Kea is a project to build an application for downloading data files that are on the web and meet specific search criteria.
Here is the Asvspoof19 Laundered Dataset an deepfake audio website for downloading the data and preview the sample data
Dummy Data for various sample Applications as per the popular APIs
LDAP Testing Playground: Docker setup for interactive LDAP testing. Run scripts, customize configurations, and experiment with LDAP commands hassle-free. Perfect for developing and testing LDAP-related applications.
The aim of this case study is to explore how to optimize the sales/revenue operation and customer experience of a fast-food court located in BTM Layout, Bangalore. By analyzing various data points, we can uncover insights that help in making informed decisions for improving the food court's performance.
Example files for Benin NGS capacity building project
A small java library to generate test data for Unit Tests. Use it to generate test data from simple to very complex patterns.
Have you ever needed some test images?
A python project for generating pseudo-random sample data for a wide array of different data formats. It has been setup as a python refresher project, while also providing some purpose to other projects I do that require sample data. The plan for this project is to be a living repository, whenever I require a new type of sample data, I will crea…
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Dataset SQL - Divisões Administrativas de Portugal (Distritos, Municípios/Concelhos, Freguesias)
Reference App for Ad Analytics, using Ruby on Rails.
The goal of this simple script/app is to generate a large set of data where it can show that sensors reported in a typical yearly fashion. (Starting cold at the beginning of each day and start of the year), peaking midway through, and falling back to where it started.
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