Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton

GNU Emacs / N Λ N O - Emacs made simple

Cracking the Coding Interview in Python 3. The solutions all have detailed explanations with visuals.

Query processing and transformation of array-backed data tables.

paints part of your python code black

Vim rendered on a cube for no reason

A modern list library for Emacs

Powerful new number types and numeric abstractions for Scala.

Create and maintain your own man pages so you can remember how to do stuff

Convert any image into ASCII Art.

Comparative metrics for dynamic networks in Python

This project is to formalise the iPinYou RTB data into a standard format for further researches.

TensorFlow implementation of an arbitrary order Factorization Machine

A CVXPY extension for handling nonconvex QCQP via Suggest-and-Improve framework

Portfolio and risk analytics in Python

The fundamental package for scientific computing with Python.

SciPy library main repository

Statsmodels: statistical modeling and econometrics in Python

Zenburn is a low-contrast color scheme for Vim.

Network Analysis in Python