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High-Performance Data Analysis with PyTorch: Accelerate Pandas Workflows and Build GPU-Powered Statistical Models
English | January 6, 2026 | ASIN: B0GF84NQ1H | 371 pages | Epub | 834.30 KB
High-Performance Data Analysis with PyTorch is a practical, systems-level guide to using PyTorch as a fast, scalable engine for modern data analysis-not just deep learning. The book shows how to move beyond CPU-bound workflows and traditional tools by exploiting GPUs, vectorized tensor math, and automatic differentiation to analyze massive tabular datasets efficiently, all while staying entirely in Python. Starting from first principles, the book reframes tensors as a direct, powerful replacement for familiar Pandas and NumPy abstractions. Readers learn how precision choices, memory layouts, and device placement directly impact performance, and how to move data between CPU and GPU without bottlenecks. Core concepts like broadcasting, vectorization, and the computational graph are introduced from a data-analysis perspective, enabling loop-free computations and gradient-based reasoning for statistics, optimization, and sensitivity analysis. The book then dives into real-world performance engineering. It covers zero-copy data loading, GPU-accelerated preprocessing, and scalable data cleaning techniques that operate on millions of rows in milliseconds. Classical statistical methods-regression, classification, regularization, and optimization-are rebuilt using PyTorch's linear algebra and autograd, allowing workloads that overwhelm traditional libraries to run efficiently on modern hardware. Moving beyond classical methods, the book demonstrates how deep learning unlocks new capabilities for tabular data, including entity embeddings, mixed-type models, uncertainty estimation, and probabilistic analysis. Unsupervised techniques such as clustering and autoencoders are explored as tools for anomaly detection and dimensionality reduction at scale. Finally, the book addresses deployment and production concerns: integrating PyTorch models into familiar Scikit-Learn workflows, exporting models for high-performance inference, and serving predictions efficiently through batched, GPU-aware pipelines. Throughout, the emphasis is on clarity, performance intuition, and practical decision-making. Rather than treating PyTorch as a black box for neural networks, this book positions it as a unified, high-performance foundation for data analysis, statistics, and machine learning-designed for analysts, data scientists, and engineers who need speed, scale, and control without leaving Python.

High-Performance Automation Methods for Computational Intelligent Systems (Computational Intelligence in Signal Processing and Automation) by Vijay Kumar Sharma, Sachin Kumar Gupta
English | September 16, 2025 | ISBN: 1032908106 | 384 pages | MOBI | 11 Mb
Intelligent computation is the need of the current society. This field attracts significant attention due to its application‑oriented systems. It is essential for implementing various society‑related solutions. Automation methods help improve the quality of life and support the development of efficient systems. The available theories and concepts are implemented for the benefit of society, drastically changing the world. The advancement of the existing ideas is simulated in the scenario of future intelligent automation systems. The complicated problems can be easily solved using the mentioned approaches. The decisive nature of the algorithms builds the system more intelligent. This book targets current trends in the relevant field and outlines a path for the development of future automated systems. The intelligence behaviour of the systems is the prime requirement for the age development. The gaps in the current development scenarios need to be identified and bridged by incorporating highly efficient algorithms, ideas, and working prototypes.

Angela Huyue Zhang, "High Wire: How China Regulates Big Tech and Governs Its Economy"
English | ISBN: 0197682251 | 2024 | 432 pages | MOBI | 2 MB
In High Wire, Angela Huyue Zhang provides a comprehensive and sophisticated overview of how China regulates its enormous tech sector. By closely scrutinizing the incentives and interactions among the key players, Zhang introduces a dynamic pyramid model to analyze the structure, process, and outcome of China's unique regulatory system. She showcases the shrewd self-regulatory tactics employed by Chinese tech titans to survive and thrive in an institutional environment plagued by endemic fraud and corruption. She also reveals how the Chinese State has given a helping hand to digital platforms by offering them indispensable judicial support.

High Tech and High Heels in the Global Economy : Women, Work, and Pink Collar Identities in the Caribbean By Carla Freeman
2000 | 352 Pages | ISBN: 0822324032 | PDF | 3 MB
High Tech and High Heels in the Global Economy is an ethnography of globalization positioned at the intersection between political economy and cultural studies. Carla Freeman's fieldwork in Barbados grounds the processes of transnational capitalism-production, consumption, and the crafting of modern identities-in the lives of Afro-Caribbean women working in a new high-tech industry called "informatics." It places gender at the center of transnational analysis, and local Caribbean culture and history at the center of global studies. Freeman examines the expansion of the global assembly line into the realm of computer-based work, and focuses specifically on the incorporation of young Barbadian women into these high-tech informatics jobs. As such, Caribbean women are seen as integral not simply to the workings of globalization but as helping to shape its very form. Through the enactment of "professionalism" in both appearances and labor practices, and by insisting that motherhood and work go hand in hand, they re-define the companies' profile of "ideal" workers and create their own "pink-collar" identities. Through new modes of dress and imagemaking, the informatics workers seek to distinguish themselves from factory workers, and to achieve these new modes of consumption, they engage in a wide array of extra income earning activities. Freeman argues that for the new Barbadian pink-collar workers, the globalization of production cannot be viewed apart from the globalization of consumption. In doing so, she shows the connections between formal and informal economies, and challenges long-standing oppositions between first world consumers and third world producers, as well as white-collar and blue-collar labor. Written in a style that allows the voices of the pink-collar workers to demonstrate the simultaneous burdens and pleasures of their work, High Tech and High Heels in the Global Economy will appeal to scholars and students in a wide range of disciplines, including anthropology, cultural studies, sociology, women's studies, political economy, and Caribbean studies, as well as labor and postcolonial studies.

High Performance Through Process Excellence: From Strategy to Execution with Business Process Management by Mathias Kirchmer
English | October 14, 2011 | ISBN: 364221164X | 178 pages | PDF, EPUB | 8.59 Mb
Continuously changing customer and market requirements as well as new developments in information technology have become a dominating factor in today's business environment. To be successful enterprises have to adapt quickly to new opportunities and threats. They have to take smart decision and execute fast. Innovation and agility become important success factors.

Michael Klemm, "High Performance Parallel Runtimes: Design and Implementation "
English | ISBN: 3110632683 | 2021 | 356 pages | MOBI | 8 MB
This book focuses on the theoretical and practical aspects of parallel programming systems for today's high performance multi-core processors and discusses the efficient implementation of key algorithms needed to implement parallel programming models. Such implementations need to take into account the specific architectural aspects of the underlying computer architecture and the features offered by the execution environment.

High Performance Computing: ISC High Performance 2025 International Workshops, Hamburg, Germany, June 10-13, 2025, Revised Selected Papers (Lecture Notes in Computer Science) by Sarah Neuwirth, Arnab Kumar Paul, Tobias Weinzierl
English | November 24, 2025 | ISBN: 3032076110 | 712 pages | PDF | 55 Mb
This volume constitutes the revised selected papers of 40th International Conference on High Performance Computing, ISC High Performance 2025, Hamburg, Germany, during June 10-13, 2025.

High-Precision Futures Trading Execution Tactics, Trade Structuring, and Risk-Asymmetric Setups

High-Performance Scientific Python From NumPy to GPU Acceleration A Comprehensive Guide

High-Performance Data Analysis with PyTorch Accelerate Pandas Workflows and Build GPU-Powered Statistical Models

High-Performance C++ for Finance Develop Fast Trading Tools, Analytics, and Risk Engines

High-Performance Automation Methods for Computational Intelligent Systems

High Wire How China Regulates Big Tech and Governs Its Economy

High Tech and High Heels in the Global Economy Women, Work, and Pink Collar Identities in the Caribbean

High Performance Through Process Excellence From Strategy to Execution with Business Process Management

High Performance Parallel Runtimes Design and Implementation

High Performance Computing ISC High Performance 2025 International Workshops, Hamburg, Germany, 2025, Revised Selected Papers