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30-days-of-python icon 30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

90daysofdevops icon 90daysofdevops

This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.

asyncer icon asyncer

Asyncer, async and await, focused on developer experience.

autosaved icon autosaved

Never worry about losing your code. Written in Go

awesome-devs icon awesome-devs

Everytime I come across good Github profiles I index them here

awesome-os icon awesome-os

A collection of all big and small open-source clones of Linux, Windows, and macOS operating system and their software.

aws-vault icon aws-vault

A vault for securely storing and accessing AWS credentials in development environments

azure-devops icon azure-devops

Code Samples (applications, scripts, demos, etc.) to apply on Azure DevOps

ckad-exercises icon ckad-exercises

A set of exercises to prepare for Certified Kubernetes Application Developer exam by Cloud Native Computing Foundation

clouddevsecopstemplates icon clouddevsecopstemplates

Templates to integrate Fortify application security testing with Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI)

compose-examples icon compose-examples

Various Docker Compose examples of selfhosted FOSS and proprietary projects.

conduit icon conduit

Data Integration for Production Data Stores.

data-dockerfiles icon data-dockerfiles

a curated list of docker-compose files prepared for testing data engineering tools, databases and open source libraries.

devops-the-hard-way-aws icon devops-the-hard-way-aws

This repository contains free labs for setting up an entire workflow and DevOps environment from a real-world perspective in AWS

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