Python Examples

Python tutorials and examples for data science and machine learning on Saturn Cloud

Learn data science and machine learning with Python on Saturn Cloud through practical examples and tutorials.

Start your data science journey

New to data science? Begin with loading data to get familiar with working with datasets in Saturn Cloud.

Ready for machine learning? Try training models with PyTorch to build and train neural networks on GPUs.

Need to scale your work? Use Dask for distributed computing to process larger datasets across multiple machines.

Ready to deploy? Turn your work into production applications like APIs, dashboards, and scheduled jobs.

Each section builds on foundational concepts, so you can progress through them as your skills develop.

Load Data

Load data from S3, flat files, Snowflake, or other sources into Saturn Cloud

Production Examples

Examples for deploying production applications

Dask

Samples of code for common Dask user tasks

RAPIDS

Accelerate common data science workloads on GPUs

PyTorch

Run PyTorch tasks and workflows on Saturn Cloud

Weights & Biases

Use Weights & Biases to keep track of machine learning models over time

Comet

Use Comet to Log and Track Modeling Runs

Bodo.ai

Use Bodo.ai HPC-style parallel computing on Saturn Cloud

Prefect Cloud

How to use Prefect Cloud to manage and monitor workflows

TensorFlow

Use the deep learning framework TensorFlow to train models on one or more GPUs