Modin For Scalable Data Science
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Modin For Scalable Data Science
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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-24
Modin For Scalable Data Science written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-24 with Computers categories.
"Modin for Scalable Data Science" In the era of massive datasets and ever-expanding analytics pipelines, "Modin for Scalable Data Science" is a comprehensive guide for data engineers and scientists determined to break through the limits of single-node data workflows. The book opens by analyzing the bottlenecks inherent in contemporary data science, from memory and CPU constraints in pandas to the challenges of distributed data movement. It offers a thorough survey of modern distributed frameworks such as Spark and Dask, before introducing Modin—a breakthrough library that bridges the ease of pandas with the power of distributed computing. Real-world use cases, including large-scale ETL, feature engineering, and interactive analytics, highlight the practical motivations behind adopting scalable data science solutions. Diving deep into Modin’s architecture, the book explores its pluggable execution backends, innovative task graph design, and robust integration with crucial data science and machine learning ecosystems like NumPy, scikit-learn, and RAPIDS. Readers learn best practices for deploying and tuning Modin in diverse environments: from laptops to cloud clusters, containerized solutions via Kubernetes, and advanced resource management in production-grade settings. Thorough attention is paid to security, data locality, and the nuances of environment-specific configuration, ensuring readers gain both strategic understanding and actionable know-how for leveraging Modin at scale. As a hands-on reference, the book meticulously details Modin’s compatibility with pandas, approaches to debugging distributed DataFrames, and advanced profiling and optimization techniques. It empowers practitioners to automate machine learning pipelines, handle real-time inference, and scale MLOps with tools such as Ray Tune and Kubeflow. For those looking to extend or contribute to Modin, the closing chapters provide blueprints for plugin development, internal API mastery, and effective engagement with the open source community. This guide is essential for anyone seeking to harness the full potential of distributed data science without sacrificing the simplicity of familiar Python workflows.
Efficient Data Science Workflows With Vaex
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-18
Efficient Data Science Workflows With Vaex written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Computers categories.
"Efficient Data Science Workflows with Vaex" Efficient Data Science Workflows with Vaex delivers a comprehensive exploration of modern data science challenges and introduces Vaex as an innovative solution for handling and analyzing massive datasets at scale. The book presents a compelling case for the transition from traditional in-memory tools, such as pandas and NumPy, to more advanced, out-of-core solutions that effortlessly process data far exceeding physical memory constraints. Through detailed case studies and foundational principles, readers gain a deep understanding of both the limitations of legacy approaches and the critical requirements for building robust, reproducible, and scalable data pipelines. The book systematically guides practitioners through Vaex’s architecture, emphasizing its memory mapping, lazy evaluation, and columnar data handling capabilities. Practical chapters cover everything from efficient data ingestion and preprocessing, advanced transformation techniques, and high-performance analytics to seamless machine learning workflows and interactive visualization. Special attention is given to challenging aspects such as distributed and cloud-based analysis, incorporating strategies for parallelism, cloud-native deployments, and orchestration, all while maintaining security, scalability, and performance. Featuring real-world case studies and empirical benchmarks comparing Vaex to alternative frameworks, this book is an authoritative reference for data scientists and engineers seeking to maximize efficiency and throughput in their analytics workflows. Best practices, troubleshooting guidance, and insights into the growing Vaex ecosystem ensure that readers are equipped not only to master today’s large-scale data challenges but also to contribute to and shape the future of scalable data science.
Recent Challenges In Intelligent Information And Database Systems
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Author : Tzung-Pei Hong
language : en
Publisher: Springer Nature
Release Date : 2021-04-05
Recent Challenges In Intelligent Information And Database Systems written by Tzung-Pei Hong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-05 with Computers categories.
This volume constitutes the refereed proceedings of the 13th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2021, held in Phuket, Thailand, in April 2021. The total of 35 full papers accepted for publication in these proceedings were carefully reviewed and selected from 291 submissions. The papers are organized in the following topical sections: data mining and machine learning methods; advanced data mining techniques and applications; intelligent and contextual systems; natural language processing; network systems and applications; computational imaging and vision; decision support and control systems; data modelling and processing for Industry 4.0.
Job Scheduling Strategies For Parallel Processing
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Author : Dalibor Klusáček
language : en
Publisher: Springer Nature
Release Date : 2024-12-20
Job Scheduling Strategies For Parallel Processing written by Dalibor Klusáček and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-20 with Computers categories.
This book constitutes the refereed proceedings of the 27th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2024, held in San Francisco, CA, USA, on May 31, 2024. The 10 full papers included in this book were carefully reviewed and selected from 15 submissions. The JSSPP 2024 covers several interesting problems within the resource management and scheduling domains.
Scaling Python With Dask
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Author : Holden Karau
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-07-19
Scaling Python With Dask written by Holden Karau and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-19 with Computers categories.
Modern systems contain multi-core CPUs and GPUs that have the potential for parallel computing. But many scientific Python tools were not designed to leverage this parallelism. With this short but thorough resource, data scientists and Python programmers will learn how the Dask open source library for parallel computing provides APIs that make it easy to parallelize PyData libraries including NumPy, pandas, and scikit-learn. Authors Holden Karau and Mika Kimmins show you how to use Dask computations in local systems and then scale to the cloud for heavier workloads. This practical book explains why Dask is popular among industry experts and academics and is used by organizations that include Walmart, Capital One, Harvard Medical School, and NASA. With this book, you'll learn: What Dask is, where you can use it, and how it compares with other tools How to use Dask for batch data parallel processing Key distributed system concepts for working with Dask Methods for using Dask with higher-level APIs and building blocks How to work with integrated libraries such as scikit-learn, pandas, and PyTorch How to use Dask with GPUs
Data Science Essentials Foundations And Analytics Fundamentals
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Author : Venkata Naidu Udamala,
language : en
Publisher: Leilani Katie Publication
Release Date : 2024-10-29
Data Science Essentials Foundations And Analytics Fundamentals written by Venkata Naidu Udamala, and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-29 with Language Arts & Disciplines categories.
Venkata Naidu Udamala, Solution Architect, Cloudera, Irving, Texas, United
Scaling Python With Ray
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Author : Holden Karau
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-11-29
Scaling Python With Ray written by Holden Karau and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-29 with Computers categories.
Serverless computing enables developers to concentrate solely on their applications rather than worry about where they've been deployed. With the Ray general-purpose serverless implementation in Python, programmers and data scientists can hide servers, implement stateful applications, support direct communication between tasks, and access hardware accelerators. In this book, experienced software architecture practitioners Holden Karau and Boris Lublinsky show you how to scale existing Python applications and pipelines, allowing you to stay in the Python ecosystem while reducing single points of failure and manual scheduling. Scaling Python with Ray is ideal for software architects and developers eager to explore successful case studies and learn more about decision and measurement effectiveness. If your data processing or server application has grown beyond what a single computer can handle, this book is for you. You'll explore distributed processing (the pure Python implementation of serverless) and learn how to: Implement stateful applications with Ray actors Build workflow management in Ray Use Ray as a unified system for batch and stream processing Apply advanced data processing with Ray Build microservices with Ray Implement reliable Ray applications
Cognitive Science Computational Intelligence And Data Analytics
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Author : Vikas Khare
language : en
Publisher: Elsevier
Release Date : 2024-06-06
Cognitive Science Computational Intelligence And Data Analytics written by Vikas Khare and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-06 with Computers categories.
Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python introduces readers to the foundational concepts of data analysis, cognitive science, and computational intelligence, including AI and Machine Learning. The book's focus is on fundamental ideas, procedures, and computational intelligence tools that can be applied to a wide range of data analysis approaches, with applications that include mathematical programming, evolutionary simulation, machine learning, and logic-based models. It offers readers the fundamental and practical aspects of cognitive science and data analysis, exploring data analytics in terms of description, evolution, and applicability in real-life problems.The authors cover the history and evolution of cognitive analytics, methodological concerns in philosophy, syntax and semantics, understanding of generative linguistics, theory of memory and processing theory, structured and unstructured data, qualitative and quantitative data, measurement of variables, nominal, ordinals, intervals, and ratio scale data. The content in this book is tailored to the reader's needs in terms of both type and fundamentals, including coverage of multivariate analysis, CRISP methodology and SEMMA methodology. Each chapter provides practical, hands-on learning with real-world applications, including case studies and Python programs related to the key concepts being presented. - Demystifies the theory of data analytics using a step-by-step approach - Covers the intersection of cognitive science, computational intelligence, and data analytics by providing examples and case studies with applied algorithms, mathematics, and Python programming code - Introduces foundational data analytics techniques such as CRISP-DM, SEMMA, and Object Detection Models in the context of computational intelligence methods and tools - Covers key concepts of multivariate and cognitive data analytics such as factor analytics, principal component analytics, linear regression analysis, logistic regression analysis, and value chain applications
Arrow For Efficient Date And Time Handling
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-10
Arrow For Efficient Date And Time Handling written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-10 with Computers categories.
"Arrow for Efficient Date and Time Handling" "Arrow for Efficient Date and Time Handling" is a comprehensive guide dedicated to mastering robust, clear, and high-performance temporal data operations in modern Python applications. Addressing the unique challenges of global timekeeping, this book methodically explores limitations in Python’s built-in datetime module, offering expert insights on regulatory, audit, and security imperatives, as well as requirements for concurrent and distributed systems. Through practical explanations and real-world case studies, it frames complex issues—such as time zone management, daylight savings adjustments, and localization—within the context of ever-evolving data ecosystems and internationalized applications. Drawing from the architectural strengths of the Arrow library, the book delves deeply into Arrow’s UTC-centric and immutable object model, fluent API, and superior interoperability with ecosystems like pandas and NumPy. Each chapter provides actionable guidance on advanced topics: from constructing, parsing, and localizing time data at scale, to implementing precise formatting, batch serializing, and optimizing for analytics workloads. With dedicated sections on temporal arithmetic, high-volume ingestion, distributed synchronization, and thread-safe patterns, practitioners are equipped to solve the most demanding problems in time-aware programming. The volume also serves as an authoritative reference for contributing to and extending Arrow itself. Learn how to craft custom formatters and plugins, conduct rigorous testing, maintain API stability, and migrate legacy systems with confidence. Advanced use cases illuminate the nuances of securing temporal data, leveraging Arrow in event-driven frameworks, and foreseeing the future of datetime standards. Whether integrating Arrow into financial applications, IoT systems, or cloud-native architectures, this book empowers engineers, data scientists, and architects to build accurate, maintainable, and globally robust time-handling solutions.
Foundations Of Databases
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Author : Serge Abiteboul
language : en
Publisher: Addison Wesley
Release Date : 1995
Foundations Of Databases written by Serge Abiteboul and has been published by Addison Wesley this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
This product is a complete reference to both classical material and advanced topics that are otherwise scattered in sometimes hard-to-find papers. A major effort in writing the book was made to highlight the intuitions behind the theoretical development.