Rust for Data Science A Rustacean Odyssey A Sophisiticated Guide For Rustacean 1st Edition by Johann Strauss, Hayden Van Der Post ISBN B0CR7D958T

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ISBN 10: B0CR7D958T 
ISBN 13: 
Author: Johann Strauss, Hayden Van Der Post

Rust for Data Science A Rustacean Odyssey A Sophisiticated Guide For Rustacean 1st Edition Table of contents:

Part I – Setting the Foundation

1. Chapter 1 – Why Rust for Data Science?

   • Performance and Safety

   • Concurrency and Memory Management

   • Comparing Rust with Python, R, and Julia

2. Chapter 2 – Rust Fundamentals for Data Scientists

   • Syntax and Semantics

   • Ownership, Borrowing, and Lifetimes

   • Functional Features in Rust

3. Chapter 3 – The Rust Ecosystem for Data Science

   • Cargo and Crates.io

   • IDEs, Tooling, and Project Structure

   • Key Libraries: ndarray, polars, serde, and more

Part II – Working with Data

4. Chapter 4 – Data Structures and Memory Layout

   • Vectors, HashMaps, and Custom Structs

   • Efficient Memory Representation

   • Handling Missing and Null Values

5. Chapter 5 – Reading and Writing Data

   • CSV, JSON, Parquet, and Binary Formats

   • The Power of serde and arrow

   • Interfacing with Databases

6. Chapter 6 – Data Manipulation with polars and ndarray

   • Series and DataFrames

   • Grouping, Aggregating, and Joins

   • Matrix Operations and Linear Algebra Basics

Part III – Analytics, Modeling & Visualization

7. Chapter 7 – Statistical Analysis in Rust

   • Descriptive and Inferential Statistics

   • Random Sampling and Probability Distributions

   • Third-party Stats Libraries

8. Chapter 8 – Machine Learning the Rust Way

   • Overview of linfa and ML Ecosystem

   • Regression, Classification, and Clustering

   • Model Evaluation and Pipeline Building

9. Chapter 9 – Visualization and Plotting

   • Plotting with plotters, conrod, and SVG

   • Interactive Dashboards with egui

   • Exporting Graphs for Publication

Part IV – Advanced Topics

10. Chapter 10 – Concurrency and Parallelism for Data Workloads

• Async Rust for Data Pipelines

• Multithreading with rayon

• Performance Benchmarking

11. Chapter 11 – Integrating with Python and R

• Calling Rust from Python via PyO3

• Wrapping with FFI and wasm

• Building Hybrid Systems

12. Chapter 12 – Deploying Rust in Data Pipelines

• REST APIs with actix-web

• Serverless Functions in Rust

• Scaling with Cloud and Containers

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Tags: Johann Strauss, Hayden Van Der Post, Data Science, Rustacean Odyssey, Sophisiticated Guide