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177426167
Python Simplified with Generative AI: Hands-on Python development with GenAI tools integrating data science and web interfaces (English Edition)
Item #:
177426167
SAR 209
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What Stands Out
Generative AI Integration
Leverage the power of Generative AI tools to enhance Python development, simplifying complex coding tasks and making programming more accessible for beginners and experienced developers alike.
Hands-on Learning
Engage in practical, hands-on projects that bridge the gap between theory and application, ensuring a deeper understanding of Python in data science and web interface development.
User-Friendly Approach
Designed for ease of understanding, this guide targets both novices and seasoned programmers, offering clear explanations and real-world applications that address common user challenges in coding.
Product Details
- DescriptionGenAI and Python are changing how we use technology, making it essential to understand both to stay innovative and work efficiently. GenAI significantly impacts learning Python by generating personalized code snippets, accelerating the learning process. This book bridges the gap between traditional education and the practical challenges students encounter today. It combines hands-on learning with modern GenAI tools like GPT-4 and Copilot.br>The book begins with fundamental GenAI concepts, including GPT-4 and Gemini, and mastering prompt engineering for optimal GenAI interaction. Instead of starting with technical details like algorithms and syntax, it introduces coding through interactive, practical Python Jupyter Notebooks and Google Colab projects. Readers will learn Python code with a calculator application, explore fundamental sorting algorithms, and manipulate data using Pandas. The book then explores advanced ML through CNN image classification with Fast.ai, and deploying AI models as web applications using Hugging Face and Gradio. It also addresses critical ethical considerations in AI, focusing on fairness and bias, and provides career guidance for modern programmers. Moreover, this book takes a fresh approach to learning by prioritizing exploration and creativity, much like the way Gen Z engage with games, apps, and hands-on activities. By the end of this book, you will be equipped with the practical skills and ethical understanding to confidently apply Python and GenAI in diverse projects, helping you navigate the evolving landscape of AI-driven development.What you will learn● Write and debug Python code through hands-on projects.● Learn GenAI setup, and effective prompt engineering.● Step-by-step Python projects using Jupyter Notebooks and GenAI.● Deploy AI models as interactive web applications using Hugging Face and Gradio frameworks.● Leverage GenAI tools like GPT-4 and Copilot.● Understand AI bias and use it responsibly for positive impact.Who this book is forThis book is for professionals interested in learning Python and using GenAI tools like GPT-4 in practical applications. It is for aspiring programmers, students, and data analysts seeking practical Python and GenAI skills.Table of Contents1. Introduction to GenAI2. Jupyter Notebook3. Dissect The Calculator App4. Sorting on My Mind5. Pandas, the Data Tamer6. Decipher CNN App7. Gradio and Hugging Face Deployment8. Fairness and Bias9. Your Turn to Be a Code Walker
| Publisher | BPB Publications |
| Publication date | 25 April 2025 |
| Language | English |
| Print length | 320 pages |
| ISBN-10 | 9365899338 |
| ISBN-13 | 978-9365899337 |
| Dimensions | 19.05 x 1.85 x 23.5 cm |
Who Should Buy?
-
Aspiring Developers
Ideal for individuals looking to learn Python and generative AI tools for practical application in real-world projects.
-
Data Science Enthusiasts
Perfect for users wanting to integrate data science techniques and generative AI to enhance their projects' capabilities.
-
Web Interface Designers
Beneficial for designers seeking to incorporate AI elements into web applications for better user experiences and functionality.
-
Advanced Programmers
Experienced developers may find the content too basic and not aligned with their existing knowledge and skills.
Product Description
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Englisch Ausgabe von Duc T. Haba (Autor) Editorial Review
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Pros
- Easy to understand for beginners
- Hands-on approach enhances learning
- Integrates latest GenAI tools
- Covers data science applications
- Practical web interface examples
Cons
- Some chapters may be too brief.
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