Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Generative AI-Powered Assistant for Developers

You're reading from   Generative AI-Powered Assistant for Developers Accelerate software development with Amazon Q Developer

Arrow left icon
Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781835089149
Length 416 pages
Edition 1st Edition
Tools
Concepts
Arrow right icon
Authors (2):
Arrow left icon
Behram Irani Behram Irani
Author Profile Icon Behram Irani
Behram Irani
Rahul Sonawane Rahul Sonawane
Author Profile Icon Rahul Sonawane
Rahul Sonawane
Arrow right icon
View More author details
Toc

Table of Contents (23) Chapters Close

Preface 1. Part 1:Generative AI-Powered Assistant
2. Chapter 1: Introduction to Generative AI-Powered Assistants FREE CHAPTER 3. Chapter 2: Introducing and Setting Up Amazon Q Developer 4. Part 2:Generate Code Recommendations
5. Chapter 3: Understanding Auto-Code Generation Techniques 6. Chapter 4: Boost Coding Efficiency for Python and Java with Auto-Code Generation 7. Chapter 5: Boost Coding Efficiency for C and C++ with Auto-Code Generation 8. Chapter 6: Boost Coding Efficiency for JavaScript and PHP with Auto-Code Generation 9. Chapter 7: Boost Coding Efficiency for SQL with Auto-Code Generation 10. Chapter 8: Boost Coding Efficiency for Command-Line and Shell Script with Auto-Code Generation 11. Chapter 9: Boost Coding Efficiency for JSON, YAML, and HCL with Auto-Code Generation 12. Part 3:Advanced Assistant Features
13. Chapter 10: Customizing Code Recommendations 14. Chapter 11: Understanding Code References 15. Chapter 12: Simplifying Code Explanation, Optimization, Transformation, and Feature Development 16. Chapter 13: Simplifying Scanning and Fixing Security Vulnerabilities in Code 17. Part 4:Accelerate Build on AWS
18. Chapter 14: Accelerate Data Engineering on AWS 19. Chapter 15: Accelerate Building Solutions on AWS 20. Chapter 16: Accelerate the DevOps Process on AWS 21. Index 22. Other Books You May Enjoy

Application requirements – weather data analysis

For our application, we will use weather data provided by OpenWeatherMap, which offers a rich set of APIs. With api.openweathermap.org, you gain access to a comprehensive source of weather information, enabling you to seamlessly integrate real-time and forecasted weather data into your applications. OpenWeatherMap’s API offers a wide range of weather data, including current weather conditions, forecasts, historical data, and more. Whether you’re building a weather app, optimizing logistics, or planning outdoor events, our API provides the data you need to make informed decisions.

Let’s define the requirements for this simple and versatile application. We will use the same application requirements for both Python and Java scripts.

Application requirements – weather data analysis

Business requirement: Analysts are interested in getting weather forecasting for a country and city. They would like...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime