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Jupyter notebooks for teaching/learning Python 3
Kubernetes website and documentation repo:
Kubernetes Goat is a "Vulnerable by Design" cluster environment to learn and practice Kubernetes security using an interactive hands-on playground 🚀
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Data Science at the Command Line
Kubetools - Curated List of Kubernetes Tools
Source Code for the book: Machine Learning in Action published by Manning
A curated list for awesome cloud native tools, software and tutorials. - https://jimmysong.io/awesome-cloud-native/
Notes and exercise attempts for "An Introduction to Statistical Learning"
re_data - fix data issues before your users & CEO would discover them 😊
AWS JavaScript S3 Explorer is a JavaScript application that uses AWS's JavaScript SDK and S3 APIs to make the contents of an S3 bucket easy to browse via a web browser.
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
Example R scripts and data for "Practical Data Science with R" 1st edition by Nina Zumel and John Mount (Manning Publications)
Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py
Scan PostgreSQL Instance for potential problems. pg_gather is a SQL-only script leveraging the built-in features of psql.
Ansible playbooks for deploying Hortonworks Data Platform
Use this repo to file all new feature or design change requests for the PatternFly project
R package: funModeling: data cleaning, importance variable analysis and model perfomance
PG Collector for Postgresql is a sql script that gathers valuable database information and presents it in a consolidated HTML file which provides a convenient way to view and navigate between diffe…
pg_sqltxplain - Simplifying PostgreSQL Execution Plan Analysis by curating underlying stats in a single html report.
Jupyter Integration for MATLAB using VNC