🔭 I’m currently working on perse
an experimental, high level package to leverage best of three giants Pandas, Polars and Duckdb.
Here are some of my notable open-source projects:
-
– A minimalistic Neural Network C++ library inspired by Andrej Karpathy's micrograd python package.
-
– A simple, header-only C++ library for loading environment variables from a .env file, similar to dotenv in other languages. This library allows you to set and retrieve environment variables in C++ projects without needing any external dependencies.
-
– A high level framework to leverage best of three giants, Pandas, Polars and Duckdb
-
– A tool to check if a package name is available on PyPI, complete with similarity checks and BigQuery integration.
-
– An open-source RAG application for data aggregation with PyPI.
-
– A utility package to backup folders with a .gitignore file as git does.
-
–
eseas
is a seasonal adjustment Python package that acts as a wrapper for thejwsacruncher
Java package. This tool allows users to process Demetra workspace XML files, create batch files, execute them, and collect the desired outputs into individual Excel files. -
– R package to retrieve economic data from APIs (currently only from CBRT and Fed).