data load tool (dlt) is an open source Python library that makes data loading easy 🛠️

Podium: a framework agnostic Python NLP library for data loading and preprocessing

This repository is a working ETL framework which utilizes user data from Spotify API using ➲Python for Extraction and Transformation ➲SQL for Data Loading and Staging ➲Airflow for Data Orchestration and Monitoring ➲PowerBI for Reporting

High-level API for tar-based dataset

A fast and easy-to-use Remote sensing Image format COnverter for High-throughput Deep-Learning (rico-hdl).

This project involves building an ETL pipeline to extract, transform, and load weather data from an API into a PostgreSQL database, followed by visualizing the data through a Django web interface.

DLT (www.github.com/dlt-hub/dlt) source for Morphais (www.morphais.com)

DLT (www.github.com/dlt-hub/dlt) Source for Affinity (www.affinity.co)

DLT (www.github.com/dlt-hub/dlt) source for Personio (www.notion.com)

ColumnCore is a high-performance analytical database system designed for beginners or small projects. It supports a rich SQL dialect, runs within the same process as the application, has a vectorized query execution engine, and uses a columnar storage format.

Library to load various vision datasets from disk

This tool rapidly converts loose files scattered within any folder into a consolidated H5 file. This allows for faster read operations with lower memory requirement.

`Spltr` is a simple PyTorch-based data loader and splitter. It may be used to load arrays and matrices or Pandas DataFrames and CSV files containing numerical data with subsequent split it into train, test (validation) subsets in the form of PyTorch DataLoader objects.

DLT (www.github.com/dlt-hub/dlt) source for Slack (www.slack.com)

An experiment sandbox for Deep Learning Data Loading analysis.

DLT (www.github.com/dlt-hub/dlt) source for Personio (www.personio.com)

DLT (www.github.com/dlt-hub/dlt) source for airtable (www.airtable.com)

A Python script to analyze sales performance using Pandas and Matplotlib. Loads, cleans, and visualizes sales data, calculating key metrics (total sales, average order value, unique customers) and generating trends (monthly sales, product category performance). Includes error handling for robust execution.

A Python package for working with GEC data in .m2 files

An interactive platform for collecting user reviews of different art forms, categorising them into "Books", "Movies" and "Music" and calculating an average rating for each artwork based on user reviews, powered by Django and DjangoRestFramework.