Scikit-learn Cookbook — 80+ recipes for #MachineLearning in Python with scikit-learn [3rd Edition]: http://
amzn.to/4oDGOq7 v/ @PacktDataML 𝓒𝓸𝓷𝓽𝓮𝓷𝓽𝓼:
Common Conventions & API Elements of Scikit-Learn
Pre-Model Workflow and Data Preprocessing
Dimensionality
CODE
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Scikit-learn Cookbook — 80+ Machine Learning Recipes
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Build Production-Ready AI Agent Systems
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30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: http://
amzn.to/41ckg6z v/ @PacktDataML —
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
Use LangChain and -
Design Scalable Generative AI with LangChain and Vertex AI
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Generative AI on Google Cloud with LangChain — Design scalable Generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud: http://
amzn.to/4frbkPA v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Turn challenges into opportunities by learning advanced techniques for -
New book: RAG-Driven Generative AI (2nd ed.)
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New Release (2nd edition) from @PacktDataML available at http://
amzn.to/4tULP1b RAG-Driven Generative AI — Build MAS-RAG with DualRAG, GraphRAG, multimodal video pipelines, and Oracle Database 23ai 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀:
Master DualRAG by combining vector search with SQL -
Building iPhone Apps with Codex in 2026
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I really love building iPhone apps in Codex. Codex can design the screens, write the Swift code with GPT-5.5, run the app in Simulator without opening Xcode, and even click around with computer use to test it!
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Introducing Causal Software Engineering for Cause-and-Effect Modeling
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What if your software could tell you not just what went wrong, but what would have happened if you acted differently? Enter Causal Software Engineering (CSE). Instead of just spotting patterns in code or logs, CSE builds cause-and-effect models that answer interventional
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Swift iPhone Development with AI Tools
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Same! Building iPhone apps in Swift is still one of my favorite things to do in Codex. These days I do it all there: GPT-Image-2 for the design, GPT-5.5 for the code, then ask Codex to run it in Simulator without opening Xcode. Hard to beat!
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Codex now helps migrate from other agents
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Codex now helps you migrate from other agents! It detects existing configs, builds an import checklist for settings/skills/plugins, then opens a guided chat to complete the move – try it out!
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Agentic Workflow Support and Token Streaming Added to NVIDIA Dynamo
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Streaming Tokens and Tools Turn Agentic Harness Support in NVIDIA Dynamo! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux
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Design Multi-Agent AI Systems — New Packt Release
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New release from @PacktDataML available at: http://
amzn.to/40Sp4O9 "Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Python-based Agentic AI Framework with tool use, memory, and multi-agent workflows" Table of Contents:
Introduction to Generative AI and AI