Learning JavaScript Data Structures and Algorithms. JavaScript Data Structures and algorithms can help you solve complex development problems – learn how by exploring a huge range of JavaScript data types

Loiane Groner

Principles of Data Science. A beginner's guide to essential math and coding skills for data fluency and machine learning - Third Edition

Sinan Ozdemir

Principles of Data Science bridges mathematics, programming, and business analysis, empowering you to confidently pose and address complex data questions and construct effective machine learning pipelines. This book will equip you with the tools to transform abstract concepts and raw statistics into actionable insights.Starting with cleaning and preparation, you’ll explore effective data mining strategies and techniques before moving on to building a holistic picture of how every piece of the data science puzzle fits together. Throughout the book, you’ll discover statistical models with which you can control and navigate even the densest or the sparsest of datasets and learn how to create powerful visualizations that communicate the stories hidden in your data.With a focus on application, this edition covers advanced transfer learning and pre-trained models for NLP and vision tasks. You’ll get to grips with advanced techniques for mitigating algorithmic bias in data as well as models and addressing model and data drift. Finally, you’ll explore medium-level data governance, including data provenance, privacy, and deletion request handling.By the end of this data science book, you'll have learned the fundamentals of computational mathematics and statistics, all while navigating the intricacies of modern ML and large pre-trained models like GPT and BERT.

Taking SketchUp Pro to the Next Level. Go beyond the basics and develop custom 3D modeling workflows to become a SketchUp ninja

Aaron Dietzen aka 'The SketchUp Guy'

Anyone who’s worked with it will know that SketchUp is the quickest and easiest way to create 3D models. While its approachable interface makes it super easy to learn, this book will show you how the extremely capable SketchUp software can take you far beyond what you may have initially thought possible. Get ready to level up from a basic user to becoming a SketchUp ninja!Each chapter will take you through the capabilities of SketchUp, challenging you to use tools in innovative ways. This includes organizing your model, modifying native commands, customizing your interface, utilizing inferencing, and much more. Additionally, you’ll learn about the extensions that can be added to SketchUp to supplement the tools you have been using, allowing you to make your 3D modeling process quicker, easier, and more powerful.By the end of this SketchUp book, you’ll have an enhanced understanding of how to use the impressive range of tools and be on your way to customizing SketchUp for your one-of-a-kind workflow.

RESTful Java Web Services. Design scalable and robust RESTful web services with JAX-RS and Jersey extension APIs

Jobinesh Purushothaman, Jobinesh Purushothaman

Getting Started with Greenplum for Big Data Analytics. A hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum

Sunila Gollapudi

Organizations are leveraging the use of data and analytics to gain a competitive advantage over their opposition. Therefore, organizations are quickly becoming more and more data driven. With the advent of Big Data, existing Data Warehousing and Business Intelligence solutions are becoming obsolete, and a requisite for new agile platforms consisting of all the aspects of Big Data has become inevitable. From loading/integrating data to presenting analytical visualizations and reports, the new Big Data platforms like Greenplum do it all. It is now the mindset of the user that requires a tuning to put the solutions to work.Getting Started with Greenplum for Big Data Analytics is a practical, hands-on guide to learning and implementing Big Data Analytics using the Greenplum Integrated Analytics Platform. From processing structured and unstructured data to presenting the results/insights to key business stakeholders, this book explains it all.Getting Started with Greenplum for Big Data Analytics discusses the key characteristics of Big Data and its impact on current Data Warehousing platforms. It will take you through the standard Data Science project lifecycle and will lay down the key requirements for an integrated analytics platform. It then explores the various software and appliance components of Greenplum and discusses the relevance of each component at every level in the Data Science lifecycle.You will also learn Big Data architectural patterns and recap some key advanced analytics techniques in detail. The book will also take a look at programming with R and integration with Greenplum for implementing analytics. Additionally, you will explore MADlib and advanced SQL techniques in Greenplum for analytics. This book also elaborates on the physical architecture aspects of Greenplum with guidance on handling high-availability, back-up, and recovery.

Effective .NET Memory Management. Build memory-efficient cross-platform applications using .NET Core

Trevoir Williams

In today’s software development landscape, efficient memory management is crucial for ensuring application performance and scalability. Effective .NET Memory Management addresses this need by explaining the intricacies of memory utilization within .NET Core apps, from fundamental concepts to advanced optimization techniques. Starting with an overview of memory management basics, you’ll quickly go through .NET’s garbage collection system. You’ll grasp the mechanics of memory allocation and gain insights into the distinctions between stack and heap memory and the nuances of value types and reference types. Building on this foundation, this book will help you apply practical strategies to address real-world app demands, spanning profiling memory usage, spotting memory leaks, and diagnosing performance bottlenecks, through clear explanations and hands-on examples. This book goes beyond theory, detailing actionable techniques to optimize data structures, minimize memory fragmentation, and streamline memory access in scenarios involving multithreading and asynchronous programming for creating responsive and resource-efficient apps that can scale without sacrificing performance. By the end of this book, you’ll have gained the knowledge to write clean, efficient code that maximizes memory usage and boosts app performance.

Microsoft SQL Server 2012 Performance Tuning Cookbook. With this book you’ll learn all you need to know about performance monitoring, tuning, and management for SQL Server 2012. Includes a host of recipes and screenshots to help you say goodbye to slow running applications

Bihag K Thaker, Bihag Thaker, Ritesh Shah, Ritesh A Shah

As a DBA you must have encountered a slow running application on SQL Server, but there are various factors that could be affecting the performance. If you find yourself in this situation, don't wait, pick up this book and start working towards improving performance of your SQL Server 2012. SQL Server 2012 Performance Tuning Cookbook is divided into three major parts -- Performance Monitoring, Performance Tuning, and Performance Management--that are mandatory to deal with performance in any capacity. SQL Server 2012 Performance Tuning Cookbook offers a great way to manage performance with effective, concise, and practical recipes. You will learn how to diagnose performance issues, fix them, and take precaution to avoid common mistakes. Each recipe given in this book is an individual task that will address different performance aspects to take your SQL Server's Performance to a higher level.The first part of this book covers Monitoring with SQL Server Profiler, DTA, System statistical function, SPs with DBCC commands, Resource Monitor & Reliability, and Performance Monitor and Execution Plan. The second part of the book offers Execution Plan, Dynamic Management Views, and Dynamic Management Functions, SQL Server Cache and Stored Procedure Recompilations, Indexes, Important ways to write effective TSQL, Statistics, Table and Index Partitioning, Advanced Query tuning with Query Hints and Plan Guide, Dealing with Locking, Blocking and Deadlocking and Configuring SQL Server for optimization to boost performance.The third and final part gives you knowledge of performance management with help of Policy Based Management and Management with Resource Governor.

Bare-Metal Embedded C Programming. Develop high-performance embedded systems with C for Arm microcontrollers

Israel Gbati, Georgios Papanikolaou

Bare-Metal Embedded C Programming takes you on an unparalleled journey to equip you with the skills and knowledge to excel in the world of embedded systems. The author, with over a decade of hands-on experience in engineering, takes a unique, practical approach to teach you how to decode microcontroller datasheets so that you’re able to extract vital information for precise firmware development. Register manipulation will become second nature to you as you learn to craft optimized code from scratch.The book provides in-depth insights into the hardware intricacies of microcontrollers. You'll navigate user manuals and documentation with ease, ensuring a profound understanding of the underlying technology. The true uniqueness of this book lies in its commitment to fostering independent expertise. Instead of simply copy pasting, you'll develop the capability to create firmware with confidence, paving the way for professional-grade mastery.By the end of this book, you'll have honed your skills in reading datasheets, performing register manipulations, and crafting optimized code, as well as gained the confidence needed to navigate hardware intricacies and write optimized firmware independently, making you a proficient and self-reliant embedded systems developer.