The MYPmanager project allows users to securely store and manage their passwords and other sensitive information.

EdiFabric C# .NET Examples for Flat and CSV Files

This project guides you through processing data from CSV to JSON format using Python. You'll learn to cleanse, validate, and transform data with pandas, numpy, csv, and json libraries, ensuring it's ready for POS system integration. This will help improve data integrity and streamline integration.

Its a Power BI dashboard for Ecommerce sales analysis that can give valuable insights for the business growth.

EasyCsv is a simple and efficient .NET library for handling CSV files in your projects. With a **fluent** user-friendly API, it allows you to easily read, write, and manipulate CSV files with a minimal amount of code.

The whole planet and per country lists of DMR users for importing back into the Anytone CPS software.

Some basic Libraries

LINQPad 8/7/6/5 data context dynamic driver for querying CSV files.

Scraping data from spanish football La Liga website

WinMerge is an Open Source differencing and merging tool for Windows. WinMerge can compare both folders and files, presenting differences in a visual text format that is easy to understand and handle.

TinyCsv is a .NET library to read and write CSV data in an easy way.

Worlds of Reading during China's long 1970s

Python Clinical Variant Tools This repository hosts Python scripts designed to streamline the retrieval of clinical variant information from authoritative sources such as ClinVar and DisGeNET. These tools facilitate efficient data extraction and analysis for researchers and professionals in the field of genetics and genomics.

Covid-19 plot of data, see most affected countries. Extra materials regarding Israel.

Example Datasets

Computer hardware performance which has been recorded and is open for free usage. Licensed under the MIT License & CC-BY-4.

The Madhav Ecommerce Sales Dashboard is an interactive Power BI tool for tracking and analyzing online sales data.

Project aims to forecast potato prices in India using LSTM, KNN, and Random Forest Regression, integrating historical data on prices, regional stats, and rainfall patterns. Targeting agricultural stakeholders for informed decision-making.

Takes a single address and calculcates the distance/time to arrive at multiple locations using the Google Maps API.

URL testing lists intended for discovering website censorship