marcogorelli Goto Github PK

followers: 425.0 following: 40.0 repos: 153.0 gists: 29.0

Name: Marco Edward Gorelli

Type: User

Company: Quansight

Location: Reading, UK

Blog: https://www.linkedin.com/in/marcogorelli/

Hello everybody,

I work at Quansight Labs and spend time on:

Polars
pandas
assorted consluting / training

I've also written some assorted little tools:

cython-lint (the world's first Cython linter?)
absolufy-imports (superseded by ruff)
nbQA (mostly superseded by ruff, but still gets ~100k downloads/month for some reason)
auto-walrus (hopefully won't be implemented in ruff)
polars-upgrade (the only way is up)
polars-xdt (eXtra stuff for Dates 'n' Times)
narwhals (🎵singing in the ocean, causing a commotion🎶)

and a tutorial on how to write Polars Plugins: https://marcogorelli.github.io/polars-plugins-tutorial/. Don't be scared

Marco Edward Gorelli's Projects

mlforecast

Scalable machine 🤖 learning for time series forecasting.

modern-polars

Code and data for the Modern Polars book

mongomock

Small library for mocking pymongo collection objects for testing purposes

mypy

Optional static typing for Python 3 and 2 (PEP 484)

narwhals

Extremely lightweight and extensible compatibility layer between Polars, pandas, cuDF, Modin, and more!

nbqa

Run any standard Python code quality tool on a Jupyter Notebook

nbstripout

strip output from Jupyter and IPython notebooks

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more