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anupamphoghat's Projects

dev-setup icon dev-setup

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.

devops-exercises icon devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization

devops-resources icon devops-resources

DevOps resources - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP

dotfiles icon dotfiles

:wrench: .files, including ~/.macos — sensible hacker defaults for macOS

examples icon examples

Kubernetes application example tutorials

gke-migration-to-containers icon gke-migration-to-containers

This demo provides a basic walkthrough of migrating a stateless application from running on a VM all the way to running it on Kubernetes Engine (GKE).

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

jepsen icon jepsen

A framework for distributed systems verification, with fault injection

kubernetes icon kubernetes

Production-Grade Container Scheduling and Management

kubernetes-certified-administrator icon kubernetes-certified-administrator

Online resources that will help you prepare for taking the CNCF CKA "Kubernetes Certified Administrator" Certification exam. with time, This is not likely the comprehensive up to date list - please make a pull request if there something that should be added here.

learnr icon learnr

Interactive Tutorials with R Markdown

mitx-14.310x icon mitx-14.310x

Course notes from MITx 14.310x Data Analysis for Social Scientists (EdX)

py4e icon py4e

Web site for www.py4e.com and source to the Python 3.0 textbook

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