Synthesizing custom datasets using Python libraries (Faker, Pandas, NumPy)
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Updated
Oct 14, 2024 - Python
Synthesizing custom datasets using Python libraries (Faker, Pandas, NumPy)
Port of a popular ruby faker gem written in kotlin. Generate realistically looking fake data such as names, addresses, banking details, and many more, that can be used for testing and data anonymization purposes.
A Python library for generating realistic Nigerian-specific data, useful for testing, development and educational purposes.
This is a tool to generate fake table(s) data (using faker and random python packages) defined in a yaml file.
Sure! Laravel is a popular PHP framework used for web application development. Here’s a concise breakdown of its core components and concepts:
Skrypt stworzony dla potrzeb pracy dyplomowej, generujący losowe wartości dla temperatury, ciśnienia, pulsu, częstotliwości oddechu oraz stanu.
Mock any type members including static and non-virtual ones
Apollo is a Python GUI application designed to simplify the complex process of generating random data based on fixed values. It allows users to generate various types of binary datasets, such as Yes/No type questions, by specifying probabilities.
This is the Report Card Project in Django. Here, the Student Data along with different entities like - Department, Subjects, Marks, Students, Ids would be created. Also, used the Python 'Faker' Library for generating data. A complete report card will be created with multiple features.
E2E, API and Visual Tests with Robot Framework, SeleniumLib, RequestsLib, EyesLib and FakerLib
Faker provider for Wi-Fi ESSIDs
Users Faker (but realistic) REST API
Automated accessibility testing project utilizing: Axe-core, Extent reports, Selenium Java TestNG, SLF4J, Jackson and Faker libraries. Parallel and Cross-Browser testing are enabled.
Users Faker (but realistic) REST API
Generating fake data that is useful for data science tasks requiring varied datasets.
Bibliothèque en Turbo Pascal (ou Free Pascal) pour la simulation de données. Ainsi, il génère des fausses de données pour faire des tests par exemple.
TITLE: Book Review Api; RESTFUL-API: Django Rest Framework, Requests Libary, Faker Library; LEVEL: Easy
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