Hi,
I have a passion for creating high quality around the intersection of Cloud Computing, Data Engineering, DevOps, Machine Learning and Life-Long learning. You can see a few of the free guides I have created here: https://github.com/noahgift.
- Rust Data Engineering
- Rust MLOps Template
- Functional Intro to Python
- AWS ML Guide
- Social Power NBA
- AWS Lambda
- myrepo
- gcp-hello-ml
Thank you for your support!
1 sponsor has funded noahgift’s work.
Sponsor My Weekly Workflows in Rust 🦀💻 Every week, I release practical, real-world examples of modern workflows in Rust for MLOps, LLMOps, AI, DevOps, Data Engineering, and Cloud Computing. I aim to empower professionals, students, and enthusiasts alike to learn, innovate, and achieve more. By sponsoring me, you're supporting Rust's advancement in these critical domains and contributing to a community of open and collaborative learning. 🌟 Why Sponsor? 📖 In-depth Explanations: I provide comprehensive walkthroughs and comments to make sure you understand skills that lead to jobs.
Featured work
-
noahgift/functional_intro_to_python
[tutorial]A functional, Data Science focused introduction to Python
Jupyter Notebook 305 -
paiml/python_devops_book
[Book-2020] Python For DevOps: Learn Ruthlessly Effective Automation
Jupyter Notebook 462 -
noahgift/aws-cloud-practitioner-exam
[Course]Study Material for AWS Cloud Practitioner Exam
Python 52 -
noahgift/cloud-data-analysis-at-scale
[Course-2020-2023] taught at Duke MIDS. This is also a Coursera Course that covers MLOps, ML Engineering and the foundations of Cloud Computing for Data Science.
Jupyter Notebook 129 -
nogibjj/mlops-template
mlops template
Python 227 -
nogibjj/rust-data-engineering
Code for a Duke Coursera Rust-based data engineering course
Rust 132
0% towards 100 monthly sponsors goal
Be the first to sponsor this goal!