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nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nbconvert

Jupyter Notebook Conversion

numerical_computing

Numerical computing labs

nyu-data-bootcamp

Data + Python @ NYU Stern

optim.jl

Optimization functions for Julia

orca.jl

Julia interface to Plotly's ORCA image exporter app

org-coursepack

The Org-Coursepack provides a template for developing and managing teaching materials using Org mode, a major mode in GNU Emacs.

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

pandas.jl

A Julia front-end to Python's Pandas package.

pandas_basics

covering basic techniques in pandas

pandoc-templates

Some elementary (xe)tex templates and css files for Pandoc, for use with latex-custom-kjh

parquet.jl

Julia implementation of parquet columnar file format reader

plainnotes

THIS IS A WORK IN PROGREES! Simple and pleasant note taking for SublimeText

plotly.py

An interactive, browser-based graphing library for Python :sparkles:

plotlybase.jl

Generate plotly.js JSON in Julia -- nothing less, nothing more.

plotlywebio.jl

Experimental PlotlyJS.jl frontend development using WebIO.jl

plots.jl

Plotting interface and wrapper for several julia plotting packages

presentations

somewhere to store html based presentations that need to be served

proton

Experimental attempt to bring spacemacs and sublimious style editing to atom

pryject_euler

Project euler solutions in python

pure

Collaborative blogging theme for Pelican blogs

pycall.jl

Package to call Python functions from the Julia language

pydata-book

Materials for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pygments

pytools

Just somewhere to store my tools

q4models

Code to solve/simulate the models from the 4th quarter in the first year PhD macroeconomics sequence at NYU. Course taught by Gianluca Violante.

quant-econ

Python code for Quantitative Economics with Python by John Stachurski and Thomas J. Sargent

quantecon.applications

A repository that houses example code, applications and teaching material related to QuantEcon

quantecon_nyu_2016

Quantitative Economics

quantecon_nyu_2016_homework

Homework for the NYU Spring semester computational economics course