SKU/Artículo: AMZ-1423252632
Python with Generative AI: a QuickStudy Laminated Programming Reference Guide
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.15 kg
0.15 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Essential reference guide for Python programmers of all skill levels to use AI to speed up tedious tasks, reduce mistakes, and gather suggestions for better ways to use the language they already know. In just 6 laminated pages you can reference the skills to deliberately direct AI tools to explain unfamiliar code, navigate libraries faster, design cleaner architecture, and write better tests. Used the right way, AI becomes a second brain, true assistant, and force multiplier for serious developers. This is not a vibe coding guide. Author Robin Nixon worked with computers in the 80s and started developing websites in the 90s becoming an expert and writing over 40 programming books and over 500 articles for top computer magazines. With his expertise in the field and writing to his audience in our succinct and organized QuickStudy format, this reference has more quality actionable facts per page than any book or website. Designed for quick access to the facts you need, this inexpensive tool is an easy add to your programming toolbox. As our programming reference guides climb in sales to best-selling status, it is clear that print is not dead and this handy desktop tool is an unbeatable value. 6 page laminated guide includes:AI & Your Development Environment VS Code: Your AI Command Center Jupyter Notebooks with AI Assistance Setting Up AI API Keys Token Costs Copyright & AI-Generated Code AI Assistance Core Use Cases Code Completion & Refactoring Code Search & Retrieval Library & API Familiarization Code Conversion & Translation AI for Specific Coding Tasks Authentication & Integration AI for Testing AI for Regex & String Handling AI as Debugging Partner Diagnosing Errors & Exceptions Reading Stack Traces with AI Multilevel Stack Traces Context is Key AI for Code Design & Planning System Design via Conversation Data Models & Class Design AI for Advanced Python From Code Assistant to Engineering Partner AI-Assisted Docs & Commenting Commenting What Matters Markdown & README Generation AI in Responsible Python Development Hallucination Risks Lack of Long-term Memory Other Limitations When Not to Trust Autocomplete AI Prompt Hygiene & Version Control Always Check Your Diffs Use .gptignore or Equivalent for Sharing AI-Assisted Security Safe Coding AI-Assisted Optimization Improving Performance AI for Maintaining Legacy Code Reading & Understanding Old Code Refactoring & Modernization Risk Reduction & Safe Refactoring Top Prompts Popular AI Assistants
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AR$32.244
55% OFF
AR$14.656
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