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Generative AI-Powered Assistant for Developers

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

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781835089149
Length 416 pages
Edition 1st Edition
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Authors (2):
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Behram Irani Behram Irani
Author Profile Icon Behram Irani
Behram Irani
Rahul Sonawane Rahul Sonawane
Author Profile Icon Rahul Sonawane
Rahul Sonawane
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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

Python auto-code generation using Amazon Q Developer for weather data analysis

As we have defined the use case (problem statement) and completed the prerequisites, let’s utilize various auto-code generation techniques to get the solution. To illustrate these techniques, we will leverage the Python programming language inside JetBrains’ PyCharm IDE, which has been set up to work with Amazon Q Developer. Please refer to Chapter 2 for detailed steps on setting up Amazon Q Developer with JetBrains’ PyCharm IDE.

Solution blueprint for weather data analysis

As an experienced code developer or data engineer, you will need to convert the preceding business objectives into technical requirements by defining reusable functions:

  1. Write a Python script for weather data analysis.
  2. Write a function to get weather data using API key for user entered country and city from http://api.openweathermap.org/data/2.5/forecast.
  3. Convert the return dates from an API...
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