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Gesamtkatalog

Catalogue complet

In this practical book, author Jim Lehmer provides best practices, techniques, and tricks to help you import, clean, match, score, and think about heterogeneous data using SQL. Full of real-world techniques, the examples in the book contain working code.

Lehmer J: Fuzzy Data Matching with SQL

Fuzzy Data Matching with SQL

Enhancing Data Quality and Query Performance

Sustainable Supply Chain Management: Computational Approaches and Modelling provides a comprehensive understanding of how computational approaches can be leveraged to address the challenges associated with sustainable supply chain management. It offers insights into emerging and advanced modelling techniques to optimize supply chain operations while considering environmental, social, and economic factors. This book will be a valuable resource for researchers, practitioners, and policymakers interested in understanding and implementing sustainable supply chain management practices through computational approaches and modelling. This book helps researchers understand the opportunities, challenges, and solutions by developing innovative computational tools and techniques to integrate sustainability considerations into supply chain decision-making processes.

Computational Approaches and Modelling

Sustainable Supply Chain Management

Statistical Analysis with Python For Dummies

Chapman & Hall/CRC Computational Science

This book is a well-recognized and leading guidebook on High Performance Computing for a broad audience of readers from industry and academia. The new edition is completely reorganized and updated to include the latest research in HPC. A new introductory chapter and a new chapter on accelerated computing have been added to the book to keep pace with recent advances.

This book is a well-recognized and leading guidebook on High Performance Computing for a broad audience of readers from industry and academia. The new edition is completely reorganized and updated to include the latest research in HPC. A new introductory chapter and a new chapter on accelerated computing have been added to the book to keep pace with recent advances.

Introduction to High Performance Computing for Scientists and Engineers, Second Edition

Python Experiments in Physics and Astronomy acts as a resource for science and engineering students or faculty who would like to see how a diverse selection of topics can be analyzed and simulated using Python programs.

Python Experiments in Physics and Astronomy acts as a resource for science and engineering students or faculty who would like to see how a diverse selection of topics can be analyzed and simulated using Python programs.

Python Experiments in Physics and Astronomy

Tcl/Tk: A Developer's Guide, Fourth Edition is an essential resource for computer professionals, from systems administrators to programmers. It covers new Tcl features, expanded Tcl-OO coverage, web technology using Rivet and SQLite, and AI integration with AWS. The book also delves into Tcl's standard tools, multi-faceted nature, and extensibility, making it ideal for developing GUIs, client/server middleware, and web applications. Readers will quickly learn to code in Tcl and extend its capabilities with the inclusion of numerous code examples and case studies. The updated edition includes over 150 pages on the latest Tcl extensions, proven techniques, and tools for effective programming. Extensive code snippets and online tutorials enhance understanding, while case studies provide practical insights. The book also discusses Tcl's role as the hidden "secret sauce" in commercial applications, highlighting its graphics and control infrastructure. With a vibrant user community and evolving API, Tcl/Tk remains a powerful and versatile programming platform for both beginners and experienced programmers.

A Developer's Guide

Tcl/Tk

Building Real-World Web Applications and Backend APIs

Node.js Projects

"International Perspectives on Science, Culture and Society"

The book addresses new challenges to garbage collection made by recent advances in hardware and software. It explores the consequences of these changes for designers and implementers of high performance garbage collectors

The book addresses new challenges to garbage collection made by recent advances in hardware and software. It explores the consequences of these changes for designers and implementers of high performance garbage collectors

The Art of Automatic Memory Management

The Garbage Collection Handbook

To write effective code and applications, software engineers and developers have to be able to frame user/customer needs effectively, capture program requirements and use cases, and then develop suitable software architecture and code to meet the need. Code Chronicles: The Art of Storytelling in Software helps readers write better software by teaching readers how to write stories in the context of software development. The book explains the roots of storytelling, clarifies that storytelling historically has been a very powerful tool used to pass along knowledge, presents where storytelling is already present implicitly in software development, discusses how to make it more effective, and finally present experiences in storytelling from software engineering and other scientific disciplines, to foster a full understanding of its power. The authors comprehensively present the pivotal role of storytelling in writing software, and they explain how to do it in a simple, hands-on approach, also taking advantage of clear case studies written by experts in the field.

The Art of Storytelling in Software

Code Chronicles

Learn to leverage Python for advanced 3D data processing, visualization, and AI-enabled workflows. Define 3D virtual realms, immersive environments, and digital automation to analyze physical objects. With a focus on practicality, this book offers data scientists, engineers, and developers a hands-on approach to working with 3D data. From 3D reconstruction to 3D deep learning techniques, you'll learn how to extract valuable insights from massive datasets, including point clouds, voxels, 3D meshes, images, and more. Author Florent Poux helps you leverage the potential of cutting-edge algorithms and 3D AI models to develop production-ready systems with a focus on automation. You'll learn how to define 3D systems, leverage powerful algorithms, and deploy 3D digital experiences for your industry (geospatial applications, self-driving cars, medical imaging, robotics, manufacturing, computer vision/graphics, and more). This book dives deep into 3D data science with Python: building 3D workflows and wielding Python to implement your solutions. You'll learn: <ul> <li>Core concepts and representations of 3D data (meshes, point clouds, voxels, CAD) </li><li>How to load, manipulate, analyze, and visualize 3D data using powerful Python libraries </li><li>Advanced AI algorithms for 3D pattern recognition (supervised and unsupervised) </li><li>3D reconstruction techniques to generate 3D datasets </li><li>Automated 3D modeling and generative AI workflows </li><li>Practical applications of 3D data science in areas like computer vision/graphics, geospatial intelligence, scientific computing, robotics, and autonomous driving </li><li>How to build end-to-end 3D Python apps through real-world projects </li></ul> Florent Poux is an esteemed authority in the field of 3D data science who teaches and conducts research for top European universities. He's also head professor at the 3D Geodata Academy and innovation director for French Tech 120.

Building Accurate Digital Environments with 3D Point Cloud Workflows

3D Data Science with Python

Learn dozens of tried-and-true strategies to find and fix coding mistakes with this efficient debugging guide that slashes the time required for this tedious task. Most programmers dread debugging, but it remains a critical skill and one often learned through trial and error. This book offers a shortcut, distilling the experience of top-tier game designer Johannes Kuhlmann – who has worked on popular games like Valheim and Saints Row – into clear, practical strategies for debugging complex software in record time. This book offers more than 25 reliable strategies to tackle bugs at every level of development, helping to ensure that quality products go to market on schedule. Each chapter blends technical advice with instructive examples from the author’s own career, offering widely applicable, language-agnostic techniques from which both novice programmers and seasoned developers will benefit. The Debugging Handbook is not just a manual to reach for time and again but a mentor, helping programmers develop the mindset to quickly squash any bug.

The Debugging Handbook

The Book of PF, 3rd Edition is the essential guide to building a secure network with PF, the OpenBSD packet filtering tool. The OpenBSD packet filter, PF, is central to the OpenBSD and FreeBSD network toolbox. With more and more services placing high demands on bandwidth and an increasingly hostile Internet environment, no sysadmin can afford to be without PF expertise. The fourth edition of The Book of PF covers the most up-to-date developments in PF, including new content on IPv6, dual stack configurations, the “queues and priorities” traffic-shaping system, NAT and redirection, wireless networking, spam fighting, failover provisioning, logging, and more. You’ll also learn how to: <ul><li>Create rule sets for all kinds of network traffic, IPv4 and IPv6 both, whether crossing a simple LAN, hiding behind NAT, traversing DMZs, or spanning bridges or wider networks </li><li>Set up wireless networks with access points, and lock them down using authpf and special access restrictions </li><li>Maximize flexibility and service availability via CARP, relayd, and redirection </li><li>Build adaptive firewalls to proactively defend against attackers and spammers </li><li>Harness OpenBSD’s latest traffic-shaping system to keep your network responsive, or use ALTQ and Dummynet configurations on FreeBSD to full effect </li><li>Stay in control of your traffic with monitoring and visualization tools (including NetFlow) </li></ul> The Book of PF is the essential guide to building a secure network with PF. With a little effort and this book, you’ll be well prepared to unlock PF’s full potential. Covers OpenBSD 7.6 and FreeBSD 14.x

A No-Nonsense Guide to the OpenBSD Firewall

The Book of PF, 4th Edition

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence empowers qualitative and mixed methods researchers in the data science movement by offering no-code, cost-free software access so that they can apply cutting-edge and innovative methods to synthetize qualitative data. The book builds on the idea that qualitative and mixed methods researchers should not have to learn to code to benefit from rigorous open-source, cost-free software that uses artificial intelligence, machine learning, and data visualization tools-just as people do not need to know C++ or TypeScript to benefit from Microsoft Word. The real barrier is the hundreds of R code lines required to apply these concepts to their databases. By removing the coding proficiency hurdle, this book will empower their research endeavors and help them become active members of and contributors to the applied data science community. The book offers a comprehensive explanation of data science and machine learning methodologies, along with access to software application tools to implement these techniques without any coding proficiency. The book addresses the need for innovative tools that enable researchers to tap into the insights that come out of cutting-edge data science tools with absolutely no computer language literacy requirements.

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence

Fuzzy Data Matching with SQL

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