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.

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.

A Python script to automate the process of loading JSON data from an S3 bucket into a Snowflake data warehouse. The script sets up necessary configurations, such as creating file formats, raw tables, and external stages, and ensures secure connection to Snowflake using environment variables for credentials and configuration details.

High-level API for tar-based dataset

Automated data loading from csv file into snowflake table

Ranking of cities on social, environmental and economic factors.

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.

challenges : (React Router data loading, Redux, Redux Toolkit, thunks, Tailwind CSS)

Spring batch processing with multiple datasources like mysql and h2

Data loading with combined async Rust stream and Python

a website to order pizza and track your orders using React, React router, Tailwind and Redux

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The goal is to perform exploratory data analysis (EDA) to uncover patterns, trends, and insights that can help the retail business make informed decisions.

`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.

Streamline your data flow with AWS Data Pipelining - a reliable and scalable solution for seamless data ingestion, processing, and storage

A comprehensive guide to mastering Pandas for data analysis, featuring practical examples, real-world case studies, and step-by-step tutorials. For general information, see

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

Local-first federated analytics query engine using DuckDB.

Homeworks and R projects for the course Foundations of Data Science