Oreilly – Switching to Rust from Python (Live Rough Draft Series) 2023-12

Oreilly – Switching to Rust from Python (Live Rough Draft Series) 2023-12 Downloadly IRSpace

Apr 27, 2025 - 07:04 Updated: Apr 27, 2025 - 07:04

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Oreilly – Switching to Rust from Python (Live Rough Draft Series) 2023-12

Switching to Rust from Python (Live Rough Draft Series) course. This course helps Python developers migrate to Rust using tools like GitHub Copilot. Rust is a modern language with high performance, memory safety, and advanced concurrency capabilities that is ideal for systems development, web, and MLOps. This course teaches Rust fundamentals and explores how to use development tools like Codespaces and Copilot Chat to accelerate learning. Rust applications are also covered in areas such as MLOps with Hugging Face, data engineering, using GPUs for translation with PyTorch, and deploying applications to cloud platforms like AWS and GCP. Other topics include CI/CD with GitHub Actions, building CLI and web solutions, and implementing Rust projects in data engineering, data science, and machine learning with GPU acceleration. This course is designed for those who want to improve their programming skills and reap the benefits of RAST in real projects.

What you will learn:

Learn the basics and key features of the right language using Python as a reference.
Use advanced tools like GitHub Copilot, Codespaces, and Copilot Chat for straight-forward development.
Build various solutions with rights including CLI, web, and MLOps.
Building the right solutions for AWS, GCP, and Azure cloud platforms.
Building the right solutions for Kubernetes, Docker, and Serverless.
Building the right solutions for data engineering, data science, and Machine Learning Operations (MLOps).
Building the right solutions for machine learning with GPU acceleration.
Understand the functional differences between Python and Rust.
Implement CI/CD for right projects using GitHub Actions.
Familiarity with right-hand applications in fields such as MLOps with Hugging Face and data engineering.
Deploy and manage applications right on Google Cloud Run and AWS Lambda.

Who is this course suitable for?

Python developers looking to learn the right language and improve the performance of their applications.
MLOps engineers who want to use the power of the right to build high-performance systems.
Developers interested in developing systems and web applications using RAST.
Anyone who wants to learn a modern and powerful programming language and take advantage of advanced development tools.

Course details Switching to Rust from Python (Live Rough Draft Series)

Publisher: Oreilly
Instructor: Alfredo Deza , Noah Gift
Training level: Beginner to advanced
Training duration: 4 hours and 9 minutes
Number of lessons: 28

Course topics

Lesson 1
“Intro Switching To Rust From Python”
“Rust Live Notes Overview”
“Setup Rust Explain Difference Python”
“Copilot Enabled Rust”
“Leveling Up Rust Packaging Actix Microservice And Crates”
“Energy Efficiency Python Rust”
“Using Vscode To Level Up From Python To Rust”
“Demo Unit Test Rust”
“Continuous Integration Rust Github Actions”
“Github Codespaces Ecosystem”
Lesson 2
“High Performance Mlops Rust Hugging Face”
“Systems Programming Rust Vs Python”
“Data Eng With Rust Dedupe”
“Rust Gpu Hugging Face Translator”
Lesson 3
“Pytorch Stable Diffusion Rust Gpu Demo”
“High Performance Pytorch Rust Demo”
“Building Cuda Enabled Stress Test With Rust Pytorch”
Lesson 4
“Onboard Gcp With Rust And Python”
“Google Cloud Run Rust Actix Microservice”
“Demo Build Deploy Rust Microservice Cloud Run”
“Demo Monitoring Logging Rust Appengine”
“Demo Load Testing”
“Demo App Engine Rust Deploy”
Lesson 5
“Intro Actix Rust Containerized Microservice”
“Rust Aws Step Functions”
“Efs Onnx Lambda Rust Inference Mlops”
“Rust Async S3 Size Calculator Lambda”
“Rust For Mlops With Amazon Sagemaker”