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Practical Data Science Environments with Python and R
Build and Manage Streamlined Workflows with Python and R for Real-World Insights and Analysis (English Edition)
2026
EN
From Beginner to Practitioner: A Practical Path to Learning Data ScienceKey Features● Build production-ready data science environments from scratch.● Learn Python and R through complete, real-world workflows for cleaning, visualizing, and modeling data.● Learn real-world and practical workflows used by modern data organizations.Book DescriptionData science often fails beginners not becau...
Practical Data Science Environments with Python and R
Build and Manage Streamlined Workflows with Python and R for Real-World Insights and Analysis (English Edition)
2026
EN
From Beginner to Practitioner: A Practical Path to Learning Data ScienceKey Features? Build production-ready data science environments from scratch.? Learn Python and R through complete, real-world workflows for cleaning, visualizing, and modeling data.? Learn real-world and practical workflows used by modern data organizations.Book DescriptionData science often fails beginners not b...
2026
EN
From Beginner to Practitioner: A Practical Path to Learning Data ScienceKey Features● Build production-ready data science environments from scratch.● Learn Python and R through complete, real-world workflows for cleaning, visualizing, and modeling data.● Learn real-world and practical workflows used by modern data organizations.Book DescriptionData science often fails beginners not b...
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Generative AI with LangChain
Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
2023
EN
2024 Edition – Get to grips with the LangChain framework to develop production-ready applications, including agents and personal assistants. The 2024 edition features updated code examples and an improved GitHub repository. Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesLearn how to leverage LangChain to work around LLMs’ inherent weaknessesDelve into LLMs with LangChain and explore their fundamentals, ethical dimensions...
The Kaggle Book
Data analysis and machine learning for competitive data science
2022
EN
Get a step ahead of your competitors with insights from over 30 Kaggle Masters and Grandmasters. Discover tips, tricks, and best practices for competing effectively on Kaggle and becoming a better data scientist. Purchase of the print or Kindle book includes a free eBook in the PDF format.Key FeaturesLearn how Kaggle works and how to make the most of competitions from over 30 expert KagglersSharpen your modeling skills with ensembling, feature engineeri...
Generative AI with LangChain
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph
2025
EN
Go beyond foundational LangChain documentation with detailed coverage of LangGraph interfaces, design patterns for building AI agents, and scalable architectures used in production—ideal for Python developers building GenAI applicationsKey FeaturesBridge the gap between prototype and production with robust LangGraph agent architecturesApply enterprise-grade practices for testing, observability, and monitoringBuild specialized agents for softwar...
LLM Design Patterns
A Practical Guide to Building Robust and Efficient AI Systems
2025
EN
Explore reusable design patterns, including data-centric approaches, model development, model fine-tuning, and RAG for LLM application development and advanced prompting techniques Free with your book: PDF Copy, AI Assistant, and Next-Gen ReaderKey FeaturesLearn comprehensive LLM development, including data prep, training pipelines, and optimizationExplore advanced prompting techniques, such as chain-of-thought, tree-of-thought, RAG, and AI agents
Observability Engineering
Achieving Production Excellence
2026
EN
Observability is the only way to engineer, manage, and improve the business-critical systems that customers depend on every day—and as the complexity of software grows, so does the need for observability. With this thoroughly revised second edition, authors Charity Majors, Liz Fong-Jones, and George Miranda take inventory of the current state of the field and explain how practitioners can evolve their observability practices from collecting separate, disparate signals to unified data workf...
The Machine Learning Solutions Architect Handbook
Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI
2024
EN
Design, build, and secure scalable machine learning (ML) systems to solve real-world business problems with Python and AWS Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesGo in-depth into the ML lifecycle, from ideation and data management to deployment and scalingApply risk management techniques in the ML lifecycle and design architectural patterns for various ML platforms and solutionsUnderstand the generative AI lif...
LLMs in Enterprise
Design strategies, patterns, and best practices for large language model development
2025
EN
Integrate large language models into your enterprise applications with advanced strategies that drive transformationKey FeaturesExplore design patterns for applying LLMs to solve real-world enterprise problemsLearn strategies for scaling and deploying LLMs in complex environmentsGet more relevant results and improve performance by fine-tuning and optimizing LLMsPurchase of the print or Kindle book includes a free PDF eBook
The Art of LLM Engineering
Designing Intelligent Systems with LangChain and LangGraph
2024
EN
About the TechnologyLarge Language Models (LLMs) have revolutionized the field of artificial intelligence, demonstrating remarkable abilities in natural language understanding and generation. These powerful models are driving innovation across various domains, from chatbots and virtual assistants to content creation, code generation, and complex reasoning systems. However, effectively harnessing the potential of LLMs requires specialized engineering practices. LangChain and LangGra...
Scalability Rules
50 Principles for Scaling Web Sites
2011
EN
50 Powerful, Easy-to-Use Rules for Supporting Hypergrowth in Any EnvironmentScalability Rules is the easy-to-use scalability primer and reference for every architect, developer, web professional, and manager. Authors Martin L. Abbott and Michael T. Fisher have helped scale more than 200 hypergrowth Internet sites through their consulting practice. Now, drawing on their unsurpassed experience, they present 50 clear, proven scalability rules—and practical gu...











