Modern Python Programming using ChatGPT

Modern Python Programming using ChatGPT is your essential guide to leveraging Artificial Intelligence to streamline and enhance your Python development workflow across the entire software development lifecycle (SDLC).

This book covers every stage, from requirements gathering and design to implementation, testing, security, deployment, and observability, demonstrating how ChatGPT can be of invaluable assistance throughout. Learn how to use ChatGPT to break down features into stories, design, and architect software, implement AI-generated code snippets, write clean and maintainable code, test and secure applications, deploy efficiently, and monitor performance. This comprehensive guide shows you how to integrate ChatGPT seamlessly into every stage of your Python projects. Discover how ChatGPT can automate repetitive tasks, generate high-quality code snippets, provide instant debugging tips, and ensure your code adheres to industry standards and best practices. This book provides thorough coverage of the latest trends and best practices in Python development, equipping you with the tools to write clean, maintainable, and robust code.

Through practical examples and hands-on exercises, you will learn how to apply ChatGPT in real-world scenarios, making your development process more efficient and productive.

KEY FEATURES

* Supercharge the entire SDLC using ChatGPTs AI-driven insights.
* Seamlessly integrate ChatGPT into every stage of your Python projects.
* Practical, real-world examples and hands-on exercises.

WHAT YOU WILL LEARN

* To seamlessly integrate ChatGPT from coding to deployment to monitoring.
* Use ChatGPT to gather and document software requirements.
* Break down features into stories with ChatGPT assistance.
* Design, architect, and implement clean, maintainable code using AI-generated snippets.
* Test, secure, and deploy applications with AI support.
* Optimize performance and monitor software using ChatGPT.

WHO THIS BOOK IS FOR

This book is for Python developers of all experience levels who want to enhance their entire software development process using AI. Basic knowledge of Python is assumed, but detailed instructions are provided to help you integrate ChatGPT into your projects effectively.

1. ChatGPT and Its Capabilities
2. Benefits of Using ChatGPT in Python Development
3. Setting up ChatGPT for Python Development
4. Requirements Gathering
5. Design and Architecture
6. Implementing a Software Product
7. Pull Review and Commit Messages
8. Using ChatGPT for Coding with SOLID Principles
9. Software Testing with ChatGPT in Python
10. Deployment with ChatGPT
11. Performance and Observability
12. Revolutionary Impact of ChatGPT
13. Limitations, Pitfalls and Dangers of ChatGPT
14. Preparing for the Future with ChatGPT

Shivakumar Gopalakrishnan has 25 years of experience in Software Development, DevOps, SRE, and Platform Engineering. He has worked in wide-ranging industries, from a healthcare enterprise to a consumer-facing web-scale company. He founded a startup, was a key architect within a Fortune 1000 company, and was a manager/engineer in a Fortune 100 company. He has also given multiple presentations at DevOps/SRE conferences.
He is currently a Principal Architect at BD.