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

Christoffer Noring

Ajit Jaokar

Ayşe Mutlu

Marina Fernandez

Anjali Jain +1 more

€35.99

4.9 (9 Ratings)

Paperback Aug 2024 602 pages 1st Edition

Christoffer Noring

Ajit Jaokar

Ayşe Mutlu

Marina Fernandez

Anjali Jain +1 more

€35.99

4.9 (9 Ratings)

Paperback Aug 2024 602 pages 1st Edition

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Key benefits

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

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.

Who is this book 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.

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

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Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

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Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

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Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

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Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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N/A Oct 14, 2024

Excellent book reference for developers who want understanding utility of developing software with generative artificial intelligence.

Feefo Verified review

Charlie Wright Oct 01, 2024

A simple, easy to understand prompt engineering flow as outlined early in the book guides the way to more in depth ideas. The writing is clear and logical in the way it progresses from one point the the next taking you along step by step in understanding the material.

Amazon Verified review

Thomas M. Sep 22, 2024

As an avid developer always looking to stay ahead of the curve, I was thrilled to dive into this book covering all things AI-assisted programming. I was skeptical at first in terms of what an AI-assisted workflow might look like, but I found this to be a comprehensive guide for anyone seeking to harness the power of AI in their development workflow -- truly a game-changer for how I'll approach future projects.The authors have masterfully crafted a resource that bridges the gap between traditional programming and the nascent world of AI-assisted development. What sets this book apart IMO is its practical, hands-on approach to integrating tools like ChatGPT and GitHub Copilot into real-world projects. The step-by-step walkthroughs for building an e-commerce application are particularly illuminating, demonstrating how AI can streamline every stage of development from frontend design to backend implementation.I was impressed by the book's thorough coverage of prompt engineering techniques. The authors provide invaluable strategies for effectively communicating with AI assistants, turning what could be a daunting task into, really, an art form. This skill alone is worth the price of admission, so to speak, as it dramatically enhances productivity and opens up new possibilities in code generation and problem-solving.I found the ML sections to be equally robust, offering detailed guidance on tasks like data exploration, model building, and hyperparameter tuning, bridging classical and modern ML techniques seamlessly. The authors' approach of using both free and paid versions of ChatGPT showcases the tools' versatility and accessibility for developers at all levels. The book doesn't just teach you how to use these powerful tools, but also how to validate and refine AI-generated solutions. This balanced perspective ensures that readers develop a critical eye alongside their newfound AI skills, which is what more companies look for in applied ML.For those concerned about the learning curve, fear not. The authors have structured the content to cater to both AI newcomers and seasoned professionals. The historical context and explanations of underlying concepts provide a solid foundation, while the advanced chapters offer plenty of depth for experienced developers. I was a bit hesitant as to whether this would be suitable for me since my domain is more data science, but I found this to be a perfect read for both DS and CS alike.In a world where AI is reshaping the software development landscape, I'm convinced that this book is a ticket to riding the wave of innovation with clarity and success. If you're looking to supercharge your development process, stay competitive in a rapidly evolving tech landscape, or simply curious about the future of programming, this book is an absolute must-read IMO. It's not just a manual; it's a roadmap to becoming a more efficient, innovative, and AI-savvy developer.

Banachan Oct 15, 2024

This book gives a great progression of the topics in regard to LLMs and use cases. It starts with the basic principles and premises and goes into more details chapter by chapter. So if you want a broad landscape perspective of use LLMs especially on how it is applied in chats, assistants, and used to help generate regression, classification unsupervised, and even deep learning models, etc. this is a good book to get and utilize for your purposes. It gives a good grounding on the world of LLMs and how to apply it by walking you through its practical applications and approaches.While not as deep technically as I would have hoped, it gives a good grounding on what to expect for such a new field in AI. Concepts on how apply LLMs in prompting, front and back end web app dev using assistants, data analysis are covered in enough detail. If you're already familiar with traditional classification and regressions modeling, it also covers how do it with LLMs. It blends both the traditional and newer methods to give you a sense on how to leverage what you already know with LLM based approaches. The code generation assistants make for a good exercise to accelerate your machine learning coding efforts.In all these of course, you need to have a good understanding of machine learning to begin with, as depending 100% on AI is not a panacea for good machine learning modeling expertise to apply in the real world. A small bonus content is that the book also covers Agentic processes in software development. Since this area is so new (as of this writing), a good basic introduction on the concepts were discussed.Overall, a good read providing a good virtual roadmap on how to do traditional machine learning using more cutting -edge tools and assistants. Highly recommended book and must read for those getting into the LLM field.

Brian Hedgeman Sep 16, 2024

This book is an invaluable resource for both seasoned developers and those just beginning to explore the world of AI-driven programming. Authored by a team of experts, this book provides a comprehensive guide to leveraging AI tools like ChatGPT and GitHub Copilot to enhance your development workflow.One of the standout features of this book is its clear and structured approach to integrating AI into various stages of web development and machine learning projects. The authors skillfully break down complex concepts into manageable pieces, making it accessible to readers with different levels of expertise. The detailed explanations of prompt strategies and the step-by-step guidance on using AI tools for specific tasks are particularly useful.The book is not just a technical manual; it also offers insights into the evolving landscape of programming languages and the role AI is playing in this transformation. The historical context provided in the early chapters sets the stage for understanding the significance of AI in today's development environment.What I appreciate most about this book is its practical focus. Each chapter is filled with real-world examples, assignments, and challenges that encourage hands-on learning. The authors emphasize the importance of validating AI-generated solutions, ensuring that readers not only learn how to use AI tools but also how to do so responsibly.Overall, this book is a must-read for anyone looking to stay ahead in the rapidly changing world of software development. Whether you're interested in improving your productivity, exploring new AI-driven possibilities, or simply curious about the future of programming, this book has something valuable to offer. Highly recommended!

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

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