Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/noahgift/python-devops-course

A repo for a course on Python DevOps
https://github.com/noahgift/python-devops-course

course devops online-live-training oreilly python

Last synced: 3 days ago
JSON representation

A repo for a course on Python DevOps

Host: GitHub
URL: https://github.com/noahgift/python-devops-course
Owner: noahgift
Created: 2019-11-11T11:44:06.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2025-01-10T22:55:06.000Z (about 1 month ago)
Last Synced: 2025-02-03T16:51:47.538Z (10 days ago)
Topics: course, devops, online-live-training, oreilly, python
Language: Jupyter Notebook
Size: 119 KB
Stars: 191
Watchers: 17
Forks: 244
Open Issues: 1
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        ![Python CI Steps Github Actions](https://github.com/noahgift/python-devops-course/workflows/Python%20CI%20Steps%20Github%20Actions/badge.svg)

[![CircleCI](https://circleci.com/gh/noahgift/python-devops-course.svg?style=svg)](https://circleci.com/gh/noahgift/python-devops-course)

# python-devops

A repo for a course on Python DevOps

## 🎓 Pragmatic AI Labs | Join 1M+ ML Engineers

### 🔥 Hot Course Offers:

* 🤖 [Master GenAI Engineering](https://ds500.paiml.com/learn/course/0bbb5/) - Build Production AI Systems

* 🦀 [Learn Professional Rust](https://ds500.paiml.com/learn/course/g6u1k/) - Industry-Grade Development

* 📊 [AWS AI & Analytics](https://ds500.paiml.com/learn/course/31si1/) - Scale Your ML in Cloud

* ⚡ [Production GenAI on AWS](https://ds500.paiml.com/learn/course/ehks1/) - Deploy at Enterprise Scale

* 🛠️ [Rust DevOps Mastery](https://ds500.paiml.com/learn/course/ex8eu/) - Automate Everything

### 🚀 Level Up Your Career:

* 💼 [Production ML Program](https://paiml.com) - Complete MLOps & Cloud Mastery

* 🎯 [Start Learning Now](https://ds500.paiml.com) - Fast-Track Your ML Career

* 🏢 Trusted by Fortune 500 Teams

Learn end-to-end ML engineering from industry veterans at [PAIML.COM](https://paiml.com)