Building a Rust Python CLI with pyo3 and Python Fire
See a code walkthrough demo creating a Rust Python command-line interface that leverages Rust for efficient computations and Python for convenient abstractions. We use the pyo3 library to bridge Rust and Python along with the Python Fire CLI package.
Key topics include:
Writing computational Rust code
Exposing functionality via pyo3
Using a Makefile for building
Importing Rust SO functions into Python
Creating a CLI with Python Fire
Terminal access to efficient Rust operations
Best of both language capabilities
Applicable for data and ML workflows
This pattern showcases a clean way to connect Rust performance and safety with Python's productivity. The video explains the integration architecture with a real coding example and demo.
Hey readers 👋, if you enjoyed this content, I wanted to share some of my favorite resources to continue your learning journey in technology!
Hands-On Courses for Rust, Data, Cloud, AI and LLMs 🚀
Rust Programming Specialization: https://insight.paiml.com/qwh
Rust for DevOps: https://insight.paiml.com/x14
Rust LLMOps: https://insight.paiml.com/g3b
Rust Fundamentals: https://insight.paiml.com/qyt
Data Engineering with Rust: https://insight.paiml.com/zm1
Python and Rust with Linux Command Line Tools: https://insight.paiml.com/jot
Virtualization, Docker, and Kubernetes for Data Engineering: https://www.coursera.org/learn/virtua...
Cloud Machine Learning Engineering and MLOps: https://www.coursera.org/learn/cloud-...
MLOps Tools: MLflow and Hugging Face: https://www.coursera.org/learn/mlops-...
Data Visualization with Python: https://www.coursera.org/learn/data-v...
Linux and Bash for Data Engineering: https://www.coursera.org/learn/linux-...
Spark, Hadoop, and Snowflake for Data Engineering: https://www.coursera.org/learn/spark-...
Cloud Virtualization, Containers and APIs: https://www.coursera.org/learn/cloud-...
Cloud Data Engineering: https://www.coursera.org/learn/cloud-...
Python Essentials for MLOps: https://www.coursera.org/learn/python...
DevOps, DataOps, MLOps: https://www.coursera.org/learn/devops...
Web Applications and Command-Line Tools for Data Engineering: https://www.coursera.org/learn/web-ap...
MLOps Platforms: Amazon SageMaker and Azure ML: https://www.coursera.org/learn/mlops-...
Scripting with Python and SQL for Data Engineering: https://www.coursera.org/learn/script...
Python and Pandas for Data Engineering: https://www.coursera.org/learn/python...
Cloud Computing Foundations: https://www.coursera.org/learn/cloud-...
📚 Must-Read Books:
Practical MLOps: https://www.amazon.com/Practical-MLOp...
Python for DevOps: https://www.amazon.com/gp/product/B08...
Developing on AWS with C#: https://www.amazon.com/Developing-AWS...
Pragmatic AI Labs Books: https://www.amazon.com/gp/product/B09...
🎥 Follow & Subscribe:
Pragmatic AI Labs YouTube Channel: / @pragmaticai
52 Weeks of AWS Podcast: https://52-weeks-of-cloud.simplecast.com
noahgift.com: https://noahgift.com/
Pragmatic AI Labs Website: https://paiml.com/
Your adventure in tech awaits! Dive in now, and elevate your skills to new heights. 🚀
On this page of the site you can watch the video online Building a Rust Python CLI with pyo3 and Python Fire with a duration of hours minute second in good quality, which was uploaded by the user Pragmatic AI Labs 01 January 1970, share the link with friends and acquaintances, this video has already been watched 347 times on youtube and it was liked by 10 viewers. Enjoy your viewing!
