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Autor(en): 
  • Temidayo Adefioye
  • Prompting Python for Full Stack Development 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  April 2026  
    Genre:  EDV / Informatik 
     
    AI-Powered Programming / Build Faster with ChatGPT / Prompt-to-Code Python
    ISBN:  9789349887084 
    EAN-Code: 
    9789349887084 
    Verlag:  Orange Education Pvt Ltd 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 191 mm / D 14 mm 
    Gewicht:  478 gr 
    Seiten:  252 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Stop Coding Alone-Build Full-Stack Python Applications Faster with AI-Powered Prompting Book Description Python skills open doors across software development, data, automation, and AI - and enable writing working code faster using natural language. Prompting Python for Full Stack Development shows you how to build real Python applications while using AI tools to generate, debug, and refine code at every stage of the development process. You begin with Python fundamentals - syntax, data structures, control flow, functions, and error handling- and then progressively integrate AI tools to accelerate each step. The book takes you from writing your first scripts to building an AI task manager, automating data analysis, creating intelligent web scrapers, and deploying a Python web application, grounded in practical exercises and guided prompt workflows throughout. What you will learn Across every book in the Prompting Series, readers will learn how to: ¿ Learn complex technologies by expressing intent, not memorizing syntax ¿ Use AI prompts to generate, explain, and refine technical solutions ¿ Break intimidating tools into conversational learning steps ¿ Move from beginner understanding to production-ready output ¿ Build confidence to explore any new technology independently Table of Contents 1. Getting Started with AI-Powered Development 2. Understanding Python Code with AI 3. Problem Decomposition and Prompt Engineering 4. Debugging and Refactoring with AI 5. Automating Tedious Tasks 6. Making an Interactive Game 7. Creating an Authorship Identification Program 8. Automating Data Reports 9. Building an AI-Powered Web Application 10. Best Practices and Optimization Index

      



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