AI-Assisted Programming for Web and Machine Learning: Improve your development workflow with ChatGPT and GitHub Copilot

Speed up your development processes and improve your productivity by writing practical and relevant prompts to build web applications and Machine Learning (ML) models Purchase of the print or Kindle book includes a free PDF copy Key Features Utilize prompts to enhance frontend and backend web development Develop prompt strategies to build robust machine learning models Use GitHub Copilot for data exploration, maintaining existing code bases, and augmenting ML models into web applications Book Description AI-Assisted Programming for Web and Machine Learning shows you how to build applications and machine learning models and automate repetitive tasks. Part 1 focuses on coding, from building a user interface to the backend. You’ll use prompts to create the appearance of an app using HTML, styling with CSS, adding behavior with JavaScript, and working with multiple viewports. Next, you’ll build a web API with Python and Flask and refactor the code to improve code readability. Part 1 ends with using GitHub Copilot to improve the maintainability and performance of existing code. Part 2 provides a prompting toolkit for data science from data checking (inspecting data and creating distribution graphs and correlation matrices) to building and optimizing a neural network. You’ll use different prompt strategies for data preprocessing, feature engineering, model selection, training, hyperparameter optimization, and model evaluation for various machine learning models and use cases. The book closes with chapters on advanced techniques on GitHub Copilot and software agents. There are tips on code generation, debugging, and troubleshooting code. You’ll see how simpler and AI-powered agents work and discover tool calling. What you will learn Speed up your coding and machine learning workflows with GitHub Copilot and ChatGPT Use an AI-assisted approach across the development lifecycle Implement prompt engineering techniques in the data science lifecycle Develop the frontend and backend of a web application with AI assistance Build machine learning models with GitHub Copilot and ChatGPT Refactor code and fix faults for better efficiency and readability Improve your codebase with rich documentation and enhanced workflows Who this book is for Experienced developers new to GitHub Copilot and ChatGPT can discover the best strategies to improve productivity and deliver projects quicker than traditional methods. This book is ideal for software engineers working on web or machine learning projects. It is also a useful resource for web developers, data scientists, and analysts who want to improve their efficiency with the help of prompting. This book does not teach web development or how different machine learning models work. Table of Contents It's a New World, One With AI Assistants, and You're Invited Prompt Strategy Tools of the Trade: Introducing Our AI Assistants Build the Appearance of Our App with HTML and Copilot Style the App with CSS and Copilot Add Behavior with JavaScript Support Multiple Viewports Using Responsive Web Layouts Build a Backend with Web APIs Augment Web Apps with AI Services Maintaining Existing Codebases Data Exploration with ChatGPT Building a Classification Model with ChatGPT Building a Regression Model for Customer Spend with ChatGPT Building an MLP Model for Fashion-MNIST with ChatGPT Building a CNN Model for CIFAR-10 with ChatGPT Unsupervised Learning: Clustering and PCA (N.B. Please use the Read Sample option to see further chapters) Code the Copilot way to fully optimize your productivity, following the best practices to master AI-assisted programming With Copilot and ChatGPT as your AI assistants, this guide will teach you how to generate high-quality code, automate repetitive tasks, and streamline your development process. First, you'll explore using a problem formulation approach for your prompts, discovering how to reduce development time and improve your code quality. Beyond the basics, you will apply strategies for effective prompting and explore real-world prompting patterns across various programming domains. Next, you will discover GitHub Copilot best practices for code generation, documentation, testing, optimization, and refactoring. As you progress, you'll explore the intersection of machine learning and AI-assisted coding, delving into machine learning concepts, data preprocessing, supervised and unsupervised learning, and model evaluation. The book also covers web development with GitHub Copilot and ChatGPT, guiding you through the process of building a frontend using HTML, CSS, and JavaScript, and developing a backend with APIs. Youll also explore ethical considerations, fairness and bias mitigation, transparency and interpretability, and privacy and data protection to ensure responsible and impactful AI-assisted development. Whether you're a seasoned developer or just starting, this guide equips you with the skills to excel in your projects. This book is designed for users who want to get the most from GitHub Copilot and ChatGPT to fully optimize their project's performance, whether it's a software development, machine learning, or web development project. Experienced developers new to GitHub Copilot and ChatGPT can discover the best strategies to improve productivity and deliver projects quicker, while beginner developers can shorten the learning curve and learn advanced techniques with the help of AI assistants