nickeubank

seaborn_objects_recipes

seaborn_objects_recipes is a Python package that extends the functionality of the Seaborn library, providing custom recipes for enhanced data visualization. This package includes below features to augment your Seaborn plots with additional capabilities.

seaborn

Statistical data visualization in Python

upgrade-knausj

CLI to make it easier to upgrade your Talon community fork

DAME-FLAME-Python-Package

A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data

manifesto

The OpenTF Manifesto expresses concern over HashiCorp's switch of the Terraform license from open-source to the Business Source License (BSL) and calls for the tool's return to a truly open-source license.

grammarly

Grammarly for VS Code

pytest_utils

Package for producing Gradescope-compatible results.json files with Pytest tests

ds4humans

GR5065_2022

dataverse-uploader

Upload local folder/directory trees to Dataverse or Clowder repositories.

nb_black

A simple extension for Jupyter Notebook and Jupyter Lab to beautify Python code automatically using black.

dogecoin

very currency

GR5065_2021

Material for my Columbia M.A. class "Bayesian Statistics for the Social Sciences"

BayesModels

Easy Bayesian models.

subsuper-proposal

Draft proposal for additional sub/superscript characters in Unicode

julia

The Julia Programming Language

LaTeX-Workshop

Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.

GeoStats.jl

An extensible framework for geospatial data science and geostatistical modeling fully written in Julia

dask-cloudprovider

Cloud provider cluster managers for Dask. Supports AWS, Google Cloud Azure and more...

juliacloud

This repository contains the files needed to build the juliacloud container refered to in the blog "Julia Distributed Computing in the Cloud"

practicaldatascience_class

Website for Practical Data Science Course Page

GeometryBasics.jl

Basic Geometry Types

talon_starter_pack

Basic starter pack of voice commands for use with Talon Voice

StatsModels.jl

Specifying, fitting, and evaluating statistical models in Julia

ScikitLearn.jl

Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

jupyterlab

JupyterLab computational environment.

Shapefile.jl

Parsing .shp files in Julia

GeoInterface.jl

A Julia Protocol for Geospatial Data

MLJ.jl

A Julia machine learning framework

python

A short course introducing students to the Python programming language for data science