6 Simple Ways to Generate Dummy Data for Your Windows Apps
What is the purpose of dummy data generation? As a Developer or Tester, sometimes we need a large volume of data in the database to test the applications. Manually creating this data and inserting it into the database is not an affordable option if we consider the price and effort involved too. This is where you need the tools for automatically generating as much dummy data as you need, to test or populate your apps at the lowest cost. Load, performance, and stress testing are just impossible without the help of these data generation tools. These tools are easy to use, and in turn, save a lot of time. It not only saves time for creating lengthy scripts but has also made data generation easy. With just a few lines of Python code, you will be able to create a large volume of data. To get the data using web scraping, instead of dummy data generation, read this article for tutorials and best options: Delphi adds powerful GUI features and functionalities to Python In this tutorial, we’ll build Windows Apps with extensive Test Data Generation capabilities by integrating Python’s Test Data Generation libraries with Embarcadero’s Delphi, using Python4Delphi (P4D). P4D empowers Python users with Delphi’s award-winning VCL functionalities for Windows which enables us to build native Windows apps 5x faster. This integration enables us to create a modern GUI with Windows 10 looks and responsive controls for our Python Test Data Generation applications. Python4Delphi also comes with an extensive range of demos, use cases, and tutorials. We’re going to cover the following… How to use Faker, FauxFactory, lipsum, Mimesis, pandas, and radar Python libraries to Generate Dummy Data for Your Windows Apps All of them would be integrated with Python4Delphi to create Windows Apps with Test Data Generation capabilities. Prerequisites Before we begin to work, download and install the latest Python for your platform. Follow the Python4Delphi installation instructions mentioned here. Alternatively, you can check out the easy instructions found in the Getting Started With Python4Delphi video by Jim McKeeth. Getting started with Python4Delphi and RAD Studio First, open and run our Python GUI using project Demo1 from Python4Delphi with RAD Studio. Then insert the script into the lower Memo, click the Execute button, and get the result in the upper Memo. You can find the Demo1 source on GitHub. The behind the scene details of how Delphi manages to run your Python code in this amazing Python GUI can be found at this link. Open Demo01.dproj. 1. How can I use Faker to generate dummy data? Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill in your persistence to stress test it, or anonymize data taken from a production service, Faker is for you. After installing Python4Delphi properly, you can get Faker using pip or easy install to your command prompt: Don’t forget to put the path where your Faker library installed, to the System Environment Variables: System Environment Variable Examples C:/Users/YOUR_USERNAME/AppData/Local/Programs/Python/Python38/Lib/site-packages C:/Users/YOUR_USERNAME/AppData/Local/Programs/Python/Python38/Scripts C:/Users/YOUR_USERNAME/AppData/Local/Programs/Python/Python38 C:/Users/YOUR_USERNAME/AppData/Local/Programs/Python/Python38/Lib/site–packages C:/Users/YOUR_USERNAME/AppData/Local/Programs/Python/Python38/Scripts C:/Users/YOUR_USERNAME/AppData/Local/Programs/Python/Python38 The following is the code example of Faker and Python4Delphi to generate real-world example: Complex data with nine variables and 1000 rows (Run this inside the lower Memo of Python4Delphi Demo01 GUI): import pandas from faker import Factory import random […]
