tablefaker is a versatile Python package that enables effortless generation of realistic yet synthetic table data and save in CSV, Parquet, Delta Lake, Excel, Sql formats for various applications.
Faker provider for Wi-Fi ESSIDs
tblfaker is a Python library to generate fake tabular data.
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.
Amazon Customer Lifetime Value (CLV) Analysis This project demonstrates an end-to-end analytics workflow for analyzing Customer Lifetime Value (CLV) using: Python – MySQL. Power BI . Azure (Azurite)
Selenium Python Framework for an eCommerce webapp Advantage Online Shopping
A Provider for the Python Faker Library that generates superhero names
DBGenPopAutomator: A Python Module for automating the creation and population of car showroom database in MySQL with realistic sample data.
A Python library for generating realistic Nigerian-specific data, useful for testing, development and educational purposes.
Learning process of using models in django, creating db of fakeusers
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.
A Simple Django Landing Page App. For practicing purposes
Generating fake data that is useful for data science tasks requiring varied datasets.
This is a student data management application developed in Python and TKinter. It utilizes CSV file handling and shows effective implementation of generating, storing, and displaying student data.
This project simulates a real-time data streaming pipeline using Apache Kafka and Python, producing and consuming fake data .The data is saved to CSV files and also inserted into a PostgreSQL database.
TITLE: Book Review Api; RESTFUL-API: Django Rest Framework, Requests Libary, Faker Library; LEVEL: Easy
Synthesizing custom datasets using Python libraries (Faker, Pandas, NumPy)
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