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AI-Assisted Programming for Web and Machine Learning: Improve your development workflow with ChatGPT and GitHub Copilot
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Speed up your coding and machine learning workflows with GitHub Copilot and ChatGPT.
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- Speed up your development processes and improve your productivity by writing practical and relevant prompts to build web applications and Machine Learning (ML) modelsPurchase of the print or Kindle book includes a free PDF copyKey FeaturesUtilize prompts to enhance frontend and backend web developmentDevelop prompt strategies to build robust machine learning modelsUse GitHub Copilot for data exploration, maintaining existing code bases, and augmenting ML models into web applicationsBook DescriptionAI-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 learnSpeed up your coding and machine learning workflows with GitHub Copilot and ChatGPTUse an AI-assisted approach across the development lifecycle Implement prompt engineering techniques in the data science lifecycleDevelop 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 forExperienced 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 ContentsIt's a New World, One With AI Assistants, and You're InvitedPrompt StrategyTools of the Trade: Introducing Our AI AssistantsBuild the Appearance of Our App with HTML and CopilotStyle the App with CSS and CopilotAdd Behavior with JavaScriptSupport Multiple Viewports Using Responsive Web LayoutsBuild a Backend with Web APIsAugment Web Apps with AI ServicesMaintaining Existing CodebasesData Exploration with ChatGPTBuilding a Classification Model with ChatGPTBuilding a Regression Model for Customer Spend with ChatGPTBuilding an MLP Model for Fashion-MNIST with ChatGPTBuilding a CNN Model for CIFAR-10 with ChatGPTUnsupervised Learning: Clustering and PCA(N.B. Please use the Read Sample option to see further chapters)
| Publisher | Packt Publishing |
| Publication date | 30 Aug. 2024 |
| Language | English |
| Print length | 602 pages |
| ISBN-10 | 1835086055 |
| ISBN-13 | 978-1835086056 |
| Item weight | 1.02 kg |
| Dimensions | 19.05 x 3.45 x 23.5 cm |
Who Should Buy?
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Beginner Developers
Ideal for new programmers looking to enhance their skills with hands-on experience and AI-assisted coding tools.
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Web Developers
Perfect for web developers aiming to streamline their workflow using ChatGPT and GitHub Copilot for efficient coding.
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Machine Learning Enthusiasts
Great for ML practitioners wanting to integrate AI tools into their development process for improved productivity.
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Experienced Programmers
Veteran developers may find the content too basic and not sufficiently advanced for their expertise level.
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Applications Editorial Review
AI-Assisted Programming For Web And Machine Learning provides in-depth insights into enhancing your development workflow through innovative tools like ChatGPT and GitHub Copilot. With a comprehensive guide spanning 602 pages, this book, published by Packt Publishing, allows developers to leverage AI technology efficiently, improving their coding practices and streamlining project completion. The content is tailored for English-speaking audiences and is designed to appeal to both novice and experienced programmers. Readers have praised its clarity and the practical applications discussed, making it a valuable resource for staying current in a rapidly evolving field.
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Pros
- Comprehensive 602-page guide for developers
- Practical applications for AI tools
- In-depth insights into coding practices
- Accessible for both beginners and experts
- Published by a reputable publisher
Cons
- No interactive elements or online resources offered
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Features & Benefits
- Enhance productivity by leveraging AI tools like GitHub Copilot and ChatGPT.
- Learn prompt engineering techniques to automate repetitive coding tasks.
- Build both frontend and backend applications with AI assistance.
- Refactor code for improved efficiency and readability.
- Applicable for experienced developers looking to optimize workflows.
- Includes a free PDF copy with the purchase of the print or Kindle book.
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