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Modern Python Programming using ChatGPT Shivakumar Gopalakrishnan

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Autor:
Shivakumar Gopalakrishnan
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
342
Dostępne formaty:
     ePub
     Mobi
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Description
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 ChatGPT's 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.

Table of Contents
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

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O autorze książki

Shivakumar Gopalakrishnan is DevOps architect at Varian Medical Systems. He has introduced Docker, Kubernetes, and other cloud-native tools to Varian product development to enable "Everything as Code". He has years of software development experience in a wide variety of fields, including networking, storage, medical imaging, and currently, DevOps. He has worked to develop scalable storage appliances specifically tuned for medical imaging needs and has helped architect cloud-native solutions for delivering modular AngularJS applications backed by microservices. He has spoken at multiple events on incorporating AI and machine learning in DevOps to enable a culture of learning in large enterprises. He has helped teams in highly regulated large medical enterprises adopt modern agile/DevOps methodologies, including the "You build it, you run it" model. He has defined and leads the implementation of a DevOps roadmap that transforms traditional teams to teams that seamlessly adopt security- and quality-first approaches using CI/CD tools. He holds a bachelor of engineering degree from College of Engineering, Guindy, and a Master of Science degree from University of Maryland, College Park.

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