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ansible-examples icon ansible-examples

A few starter examples of ansible playbooks, to show features and how they work together. See http://galaxy.ansible.com for example roles from the Ansible community for deploying many popular applications.

aws-lambda-powertools icon aws-lambda-powertools

A suite of utilities for AWS Lambda Functions that makes tracing with AWS X-Ray, structured logging and creating custom metrics asynchronously easier

aws-sdk-java icon aws-sdk-java

Official mirror of the AWS SDK for Java. For more information on the AWS SDK for Java, see our web site:

blaze icon blaze

NumPy and Pandas interface to Big Data

celery icon celery

Distributed Task Queue (development branch)

dask icon dask

Parallel computing with task scheduling

django icon django

The Web framework for perfectionists with deadlines.

geojson-vt icon geojson-vt

Slice GeoJSON into vector tiles on the fly in the browser

hhvm icon hhvm

HHVM is an open-source virtual machine designed for executing programs written in Hack and PHP. HHVM uses a just-in-time (JIT) compilation approach to achieve superior performance while maintaining the flexibility that PHP developers are accustomed to.

leaflet icon leaflet

:leaves: JavaScript library for mobile-friendly interactive maps

ml-road icon ml-road

Machine Learning Resources, Practice and Research

movie-recommender-demo icon movie-recommender-demo

This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).

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