🐍 Leverage Rust Ownership Model in Python via pyo3
2👉 Import Rust data structures into Python while retaining Rust's ownership rules for safety and control.
🐍 Use pyo3 to build Python bindings for Rust code - define Python classes backed by Rust impls. Expose methods to add numbers to a Rust Vec from Python.
🔒 Leverage Rust ownership model in Python - make mutability explicit, unlike Python's default mutable state. Control data structure changes from Python code via exposed methods.
📈 Add and manipulate a numbers list in Python, print the length in Rust. Clear list to demonstrate control flow from Python calls into Rust.
🛠 See code examples of building and testing Rust libs with Python integration scripts - insert data safely, check state changes, validate functionality.
⚡ Get powerful Rust safety guarantees while harnessing Python productivity - no need to rewrite everything from scratch!
✨I build courses: https://insight.paiml.com/bzf
📚LLMOps Specialization: https://insight.paiml.com/a8e
📚Introduction to Generative AI: https://insight.paiml.com/ee2
📚Operationalizing LLMs on Azure: https://insight.paiml.com/e2u
📚Databricks to Local LLMs: https://insight.paiml.com/i6k
📚Advanced Data Engineering: https://insight.paiml.com/uvi
📚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
📚Applied Python Data Engineering Specialization: https://insight.paiml.com/5r9
📚Data Visualization with Python: https://insight.paiml.com/y9p
📚Virtualization, Docker, and Kubernetes for Data Engineering: https://insight.paiml.com/xtp
📚Spark, Hadoop, and Snowflake for Data Engineering: https://insight.paiml.com/f6j
📚MLOps | Machine Learning Operations Specialization: https://insight.paiml.com/l5u
📚Python Essentials for MLOps: https://insight.paiml.com/uvm
📚DevOps, DataOps, MLOps: https://insight.paiml.com/ggi
📚MLOps Tools: MLflow and Hugging Face: https://insight.paiml.com/y2v
📚MLOps Platforms: Amazon SageMaker and Azure ML: https://insight.paiml.com/ymb
📚Python, Bash and SQL Essentials for Data Engineering Specialization: https://insight.paiml.com/2or
📚Linux and Bash for Data Engineering: https://insight.paiml.com/d31
📚Scripting with Python and SQL for Data Engineering: https://insight.paiml.com/n3b
📚Python and Pandas for Data Engineering: https://insight.paiml.com/nz7
📚Web Applications and Command-Line Tools for Data Engineering: https://insight.paiml.com/o86
📚Building Cloud Computing Solutions at Scale Specialization: https://insight.paiml.com/hrt
📚Cloud Computing Foundations: https://insight.paiml.com/zrb
📚Cloud Data Engineering: https://insight.paiml.com/75t
📚Cloud Machine Learning Engineering and MLOps: https://insight.paiml.com/jjh
📚Cloud Virtualization, Containers and APIs: https://insight.paiml.com/ce5
📝 Guided Projects:
📝Object-Oriented Programming in Python:https://insight.paiml.com/n4h
📝MySQL-for-Data-Engineering: https://insight.paiml.com/e1k
📝Python Generators: https://insight.paiml.com/i9l
📝Build a Static Website with Rust and Zola: https://insight.paiml.com/a2h
📝Building Rust AWS Lambda Microservices with Cargo Lambda: https://insight.paiml.com/8ed
📝Rust Secret Cipher CLI: https://insight.paiml.com/zzr
Other Videos By Pragmatic AI Labs
Other Statistics
Rust Statistics For Pragmatic AI Labs
Pragmatic AI Labs currently has 9,346 views spread across 17 videos for Rust. There's close to 6 hours worth of content for Rust published on his channel, roughly 1.44% of the content that Pragmatic AI Labs has uploaded to YouTube.