Introduction

Getting Started with Rust for Data Analysis

Why Rust for Data Analysis?

Setting Up Your Environment

Essential Crates for Data Analysis

Your First Data Analysis Project

Working with Data in Rust

Reading and Writing Data Files

CSV and JSON Processing

Working with Databases

Data Cleaning and Preprocessing

Data Structures and Algorithms

Vectors, Arrays and Matrices

DataFrames with Polars

Working with ndarray

Implementing Custom Data Structures

Statistical Analysis

Descriptive Statistics

Probability Distributions

Hypothesis Testing

Regression Analysis

Data Visualization

Plotting with Plotters

Interactive Visualizations

Creating Custom Visualizations

Exporting Charts and Graphs

Machine Learning in Rust

Machine Learning Ecosystem in Rust

Linear Models with linfa

Neural Networks with burn

Model Evaluation and Validation

Performance Optimization

Benchmarking Your Analysis

Parallelism and Concurrency

SIMD Operations

Memory Optimization

Building Data Analysis Applications

Command-Line Data Tools

Web APIs for Data Services

Desktop Applications with egui

Deploying Data Analysis Code

Case Studies

Financial Data Analysis

Scientific Computing

Big Data Processing

Real-time Data Analysis

Future Directions

Emerging Tools and Libraries

Integrating with Python Ecosystem

Contributing to the Rust Data Ecosystem

Resources for Further Learning