Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
created at Jan. 23, 2015, 7:38 p.m.
Security Monkey monitors AWS, GCP, OpenStack, and GitHub orgs for assets and their changes over time.
created at June 27, 2014, 9:49 p.m.
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
created at Oct. 25, 2016, 11:48 p.m.
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
created at Dec. 9, 2014, 9:29 a.m.
macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults.
created at July 8, 2015, 9:59 p.m.
Rules engine for cloud security, cost optimization, and governance, DSL in yaml for policies to query, filter, and take actions on resources
created at March 1, 2016, 1:11 a.m.
troposphere - Python library to create AWS CloudFormation descriptions
created at Dec. 12, 2012, 9:19 p.m.
CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
created at May 23, 2017, 6:16 p.m.
Sample applications built using AWS' Amazon Machine Learning.
created at March 24, 2015, 11:10 p.m.
A supercharged AWS command line interface (CLI).
created at Aug. 24, 2015, 10:21 a.m.