A collection of learning resources for curious software engineers

A curated list of awesome Machine Learning frameworks, libraries and software.

Code examples for machine learning techniques using the SAS Viya platform.

A Python interface module to the SAS System. It works with Linux, Windows, and mainframe SAS. It supports the sas_kernel project (a Jupyter Notebook kernel for SAS) or can be used on its own.

The SAS Deep Learning Python (DLPy) package provides the high-level Python APIs to deep learning methods in SAS Visual Data Mining and Machine Learning. It allows users to build deep learning model…

Code samples and materials to help you learn to access SAS Viya services by writing programs in Python and other open-source languages

The SAS Scripting Wrapper for Analytics Transfer (SWAT) package is the Python client to SAS Cloud Analytic Services (CAS). It allows users to execute CAS actions and process the results all from Py…

The most cited deep learning papers

A collection of machine learning examples and tutorials.

How data science is woven into the fabric of Stitch Fix

Cracking the Coding Interview 6th Ed. Python Solutions

Lessons in the Fundamentals of Scala

Source for blog post: Interactive Data Visualization with D3.js, DC.js, Python, and MongoDB

100 numpy exercises (100% complete)

flask, heroku, environment variables, sqlalchemy, flask-migrate, redis

This is a mirror of the script by Giuseppe Attardi, and contains history before the official repo started: https://github.com/attardi/wikiextractor --- Extracts and cleans text from Wikipedia datab…

Source code for blog post: Interactive Data Visualization of Geospatial Data using D3.js, DC.js, Leaflet.js and Python

Source code for "Data Visualization with D3 Cookbook"

Lightweight Scala kernel for Jupyter / IPython 3

AngularJS directive to embed an interact with maps managed by Leaflet library