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.
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
created at Oct. 25, 2016, 11:48 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.
Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment
created at Dec. 9, 2014, 9:29 a.m.
CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
created at May 23, 2017, 6:16 p.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.
Prevent cloud misconfigurations and find vulnerabilities during build-time in infrastructure as code, container images and open source packages with Checkov by Bridgecrew.
created at Nov. 27, 2019, 8:55 a.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.
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
created at Feb. 26, 2019, 1:39 a.m.