SKU/Artículo: AMZ-B0G8DLT4KG
Ai assisted python programming: Mastering Modern Workflows with Copilot, Cursor, ChatGPT, For Real-World Projects (Ai Assisted Programming Handbooks)
Format:
Hardcover
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.28 kg
0.28 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- In December 2025, AI-assisted coding is no longer a futuristic promise—it is the daily reality for millions of professional developers. Tools such as GitHub Copilot, Cursor, ChatGPT, and Claude have fundamentally reshaped how Python code is written, debugged, refactored, and shipped. Yet many developers still use these powerful systems superficially, treating them as advanced autocomplete rather than as sophisticated collaborators capable of accelerating every phase of the development lifecycle.AI-Assisted Python Programming is a comprehensive, hands-on guide written specifically for intermediate to advanced Python developers who want to move beyond basic usage and truly master modern AI-powered workflows. This is not an introductory "learn Python with AI" book; it assumes solid familiarity with the language and focuses instead on the techniques, strategies, and best practices that enable experienced programmers to achieve dramatic gains in productivity, code quality, and project ambition.Drawing on the latest capabilities available in late 2025, the book teaches readers how to combine the complementary strengths of today’s leading tools:GitHub Copilot for seamless, low-latency inline completions and rapid daily editingCursor for deep, codebase-aware multi-file refactoring and agentic automationConversational LLMs (Claude, ChatGPT) for architectural planning, prompt engineering, code review, and exploratory analysisThrough a structured progression from foundational skills to advanced real-world projects, readers learn to select the right tool for each task, orchestrate hybrid workflows, and maintain rigorous human oversight.Key coverage includes:Expert prompt engineering tailored to Python idioms and production requirementsOptimized development environments and task-based tool switchingAI-accelerated debugging, comprehensive testing (pytest), and performance optimizationLarge-scale refactoring, technical debt reduction, and security hardeningBuilding complete, deployable projects across domains: data analysis pipelines (Pandas/NumPy), full-stack web applications (FastAPI/Flask with SQLAlchemy, authentication, and modern frontends), machine learning systems (scikit-learn and PyTorch), automation scripts (Selenium), games (Pygame), and CLI toolsScaling practices: version control, team collaboration, and AI-integrated CI/CDCritical examination of ethical considerations, bias, security risks, intellectual property, and over-reliance, with concrete mitigation strategiesForward-looking insights into emerging trends for 2026 and beyond, including advanced agentic systems, custom fine-tuned models, and open-source alternativesEach chapter combines clear explanation, authoritative guidance, and extensive runnable code examples drawn from real tool interactions. A companion GitHub repository provides complete project source code, templates, and supplementary resources.Whether you are a data scientist streamlining complex analysis workflows, a backend engineer delivering robust services, a machine learning practitioner iterating on models, or an independent developer pursuing ambitious personal projects, this book equips you with the knowledge and practical framework to work faster, think deeper, and produce higher-quality Python code in the AI era—while remaining firmly in control of the process and its outcomes.AI-Assisted Python Programming is the definitive resource for experienced developers ready to harness the full potential of today’s AI coding assistants and prepare for the innovations that will define tomorrow’s software engineering landscape.
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AR$81.832
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AR$147.301
44% OFF
AR$81.832
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