Practical Rust Projects: Building Game, Physical Computing, and Machine Learning Applications

Description

Table of Contents About the Author About the Technical Reviewer Chapter 1: Welcome to the  World of Rust Who Is This Book For? Who Is This Book Not For? Criteria for Selecting Libraries Pure Rust Maturity Popularity How To Use This Book Chapter Overview Source Code Chapter 2: Building a Command-Line Program Introduction What Are You Building? Creating a Binary Project Reading Command-Line Arguments with std::env::args Handling Complex Arguments with StructOpt Adding Binary Flags (aka Switches) Printing to STDERR Printing with Color Reading the Cat Picture from a File Better Error Handling Piping to Other Commands Piping to STDOUT Without Color Accepting STDIN Integration Testing Publishing and Distributing the Program Install from Source Publish to crates.io Building Binaries for Distribution Conclusion Chapter 3: Creating Graphical User Interfaces (GUIs) What Are You Building? Building a Text-Based User Interface Showing a Dialog Box Handling Simple Keyboard Inputs Adding a Dialog Multi-Step Dialogs Reading User Input Moving to Graphical User Interfaces (GUIs) Creating a Window Displaying an Image Using Glade to Design the UI Accepting Inputs and Button Clicks Reading a gtk::Switch Other Alternatives Chapter 4: Building a Game What Are You Building? Amethyst and the Entity-Component-System Pattern Creating an Amethyst Project Creating a Window Seeing the World Through a Camera Adding the Cats Moving the Cats Creating the Ball Can’t Defy Gravity Making the Ball Bounce Keeping Score Let There Be Music Other Alternatives Chapter 5: Physical Computing in Rust What Are You Building? Physical Computing on Raspberry Pi Getting to Know Your Raspberry Pi Install Raspbian Through NOOBS Install the Rust Toolchain Controlling the GPIO Pins Building a LED Circuit Controlling the GPIO Output from Rust Reading Button Clicks Cross-Compiling to Raspberry Pi How Does the GPIO Code Work? Where Do You Go from Here? Chapter 6: Artificial Intelligence and Machine Learning What Is Machine Learning? Supervised vs. Unsupervised Learning What Are You Building? Introducing the rusty-machine Crate Clustering Cat Breeds with K-Means Introduction to the K-Means Algorithm The Training Data Exporting as CSV Moving the Configuration Into a File Visualizing the Data Setting Up K-Means Detecting Cats versus Dogs with the  Neural Network Introduction to Neural Networks Preparing the Training and Testing Data Setting Up the Neural Network Model Reading the Training and Testing Data Normalizing the Training Data Training and Predicting Making the Prediction Other Alternatives Chapter 7: What Else Can You Do with Rust? The End Is Just the Beginning The Web Backend Frontend Web Browser and Crawler Mobile Operating Systems and Embedded Devices Unlimited Possibilities of Rust Index