The Most Complete AI Agentic Engineering System — Step-by-step guide to build, optimize, and scale LLM agents: https://
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Agentic Engineering Guide Covers Building, Optimizing and Scaling LLM Agents
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Claude in Action Covers AI Application Development and Prompt Engineering
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Claude in Action — Practical Guide to Building AI Applications with Python [2nd Edition]: https://
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Guide Builds Financial AI Agents With Reasoning, Architectures and Python
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Awesome NEW RELEASE from @PacktPublishing "Building AI Agents for Finance: Build and deploy robust financial agentic systems with advanced reasoning, architectures, and Python" Available here: https://
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Reasoning Model Book Implements Core Methods From Scratch
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Build a Reasoning Model (From Scratch): https://
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Beyond LLMs Guide Covers Reliable Agents, Memory, Planning and Evaluation
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New release from @PacktPublishing
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Textbook Explores Inference in Statistical Modeling and Machine Learning
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Inference in Statistical Modeling and Machine Learning: https://
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PyTorch Guides Cover Deep Learning, Computer Vision and NLP
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Deep Learning with PyTorch — Step-by-Step Beginner's Guides (3 volumes) Vol.1 (Fundamentals): https://
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Python Automation Cookbook Adds MCP and AI Powered Workflows
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Python Automation Cookbook [3rd edition] — 100+ new and updated recipes for scalable workflows, MCP integrations, and AI-powered automation: https://
link.amazon/B01rAmZtL from @PacktPublishing What you will learn: 🔶 Automate file, system, and network tasks using Python
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Claude Visual Guide Covers Research, Writing, Data and Automation
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Claude Visual Bible — Step-by-Step, Screenshot-by-Screenshot Guide to Research, Writing, Data, and Automation with Claude: https://
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Python Feature Engineering Cookbook Explores Designing Effective Data Features
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Real Data Scientists are masters at feature engineering, driven by curiosity, creativity, computational prowess, and craftsmanship in selecting & designing effective data features! Get this —> “Python Feature Engineering Cookbook” — Complete guide to crafting powerful features