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The best-selling trading book of all time—updated for the new era The New Trading for a Living updates a modern classic, popular worldwide among both private and institutional traders. This revised and expanded edition brings time-tested concepts in gear with today\'s fast-moving markets, adding new studies and techniques for the modern trader. This classic guide teaches a calm and disciplined approach to the markets. It emphasizes risk management along with self-management and provides clear rules for both. The New Trading for a Living includes templates for rating stock picks, creating trade plans, and rating your own readiness to trade. It provides the knowledge, perspective, and tools for developing your own effective trading system. All charts in this book are new and in full color, with clear comments on rules and techniques. The clarity of this book\'s language, its practical illustrations and generous sharing of the essential skills have made it a model for the industry—often imitated but never duplicated. Both new and experienced traders will appreciate its insights and the calm, systematic approach to modern markets. The New Trading for a Living will become an even more valuable resource than the author\'s previous books: Overcome barriers to success and develop stronger disciplineIdentify asymmetrical market zones, where rewards are higher and risks lowerMaster money management as you set entries, targets and stopsUse a record-keeping system that will make you into your own teacher Successful trading is based on knowledge, focus, and discipline. The New Trading for a Living will lift your trading to a higher level by sharing classic wisdom along with modern market tools. Σελίδες: 304, Διαστάσεις: 18.3x18.3cm

Σελίδες: 2112, Διαστάσεις: 13.7x13.7cm

Processing information efficiently is critical to the successful operation of modern organizations. One particularly helpful tool is Microsoft Power Automate, a low-code/no-code development platform designed to help tech-savvy users create and implement workflows. This practical book explains how small business and enterprise users can use Power Automate to replace manual work that takes days with an automated process you can complete in a few hours. Paul Papanek Stork, principal architect at Don\'t Pa..Panic Consulting, provides a concise yet comprehensive overview of the foundational skills required to understand and work with Power Automate. You\'ll learn how to use these workflows, or flows, to automate repetitive tasks or complete business processes without manual intervention. Whether you\'re transferring form responses to a list, managing document approvals, sending automatic reminders for overdue tasks, or archiving emails and attachments, these skills will help you: Design and build flows with templates or from scratch Select triggers and actions to automate a process Add actions to a flow to retrieve and process information Use functions to transform information Control the logic of a process using conditional actions, loops, or parallel branches Implement error checking to avoid potential problems Σελίδες: 325

For International Business courses. Successfully prepare students for the international marketplace. International Business illustrates how successful managers must function in a competitive world. Packed with current examples that reflect the vibrancy of the international business field, this student-friendly text offers a managerial approach that keeps an emphasis on skills development, emerging markets and geographical literacy. MyManagementLab for International Business is a total learning package. MyManagementLab is an online homework, tutorial, and assessment program that truly engages students in learning. It helps students better prepare for class, quizzes, and exams-resulting in better performance in the course-and provides educators a dynamic set of tools for gauging individual and class progress. Please note that the product you are purchasing does not include MyManagementLab. MyManagementLab Join over 11 million students benefiting from Pearson MyLabs. This title can be supported by MyManagementLab, an online homework and tutorial system designed to test and build your understanding. Would you like to use the power of MyManagementLab to accelerate your learning? You need both an access card and a course ID to access MyManagementLab. These are the steps you need to take: 1. Make sure that your lecturer is already using the system Ask your lecturer before purchasing a MyLab product as you will need a course ID from them before you can gain access to the system. 2. Check whether an access card has been included with the book at a reduced cost If it has, it will be on the inside back cover of the book. 3. If you have a course ID but no access code, you can benefit from MyManagementLab at a reduced price by purchasing a pack containing a copy of the book and an access code for MyManagementLab (ISBN:9781292070148) 4. If your lecturer is using the MyLab and you would like to purchase the product... Go to www.mymanagementlab.com to buy access to this interactive study programme. For educator access, contact your Pearson representative. To find out who your Pearson representative is, visit www.pearsoned.co.uk/replocator Σελίδες: 624, Διαστάσεις: 22x22cm

In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart. With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis to gain a deeper understanding of their data questions. Author Bonny P. McClain demonstrates why detecting and quantifying patterns in geospatial data is vital. Both proprietary and open source platforms allow you to process and visualize spatial information. This book is for people familiar with data analysis or visualization who are eager to explore geospatial integration with Python. This book helps you: Understand the importance of applying spatial relationships in data science Select and apply data layering of both raster and vector graphics Apply location data to leverage spatial analytics Design informative and accurate maps Automate geographic data with Python scripts Explore Python packages for additional functionality Work with atypical data types such as polygons, shape files, and projections Understand the graphical syntax of spatial data science to stimulate curiosity Σελίδες: 200, Διαστάσεις: 17.8x17.8cm

In today\'s cloud native world, where we automate as much as possible, everything is code. With this practical guide, you\'ll learn how Policy as Code (PaC) provides the means to manage the policies, related data, and responses to events that occur within the systems we maintain-Kubernetes, cloud security, software supply chain security, infrastructure as code, and microservices authorization, among others.Author Jimmy Ray provides a practical approach to integrating PaC solutions into your systems, with plenty of real-world examples and important hands-on guidance. DevOps and DevSecOps engineers, Kubernetes developers, and cloud engineers will understand how to choose and then implement the most appropriate solutions.Understand PaC theory, best practices, and use cases for securityLearn how to choose and use the correct PaC solution for your needsExplore PaC tooling and deployment options for writing and managing PaC policiesApply PaC to DevOps, IaC, Kubernetes, and AuthN/AuthZExamine how you can use PaC to implement security controlsVerify that your PaC solution is providing the desired resultCreate auditable artifacts to satisfy internal and external regulatory requirements Σελίδες: 450, Διαστάσεις: 17.8x17.8cm

Kubernetes has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help. Using Kubernetes as your platform, you\'ll discover open source technologies that are designed and built for the cloud. Delve into case studies to avoid the pitfalls others have faced and explore new use cases. Get an insider\'s view of what\'s coming from the innovators who are creating next-generation architectures and infrastructure. And you\'ll learn how to: Manage different data use cases on Kubernetes Reduce costs and simplify application development Leverage data and infrastructure to create new use cases and business models Make data infrastructure choices that are cost-efficient, secure, scalable, and elastic And more Σελίδες: 325

C# is undeniably one of the most versatile programming languages available to engineers today. With this comprehensive guide, you\'ll learn just how powerful the combination of C# and .NET can be. Author Ian Griffiths guides you through C# 12.0 and .NET 8 fundamentals and techniques for building cloud, web, and desktop applications.Designed for experienced programmers, this book provides many code examples to help you work with the nuts and bolts of C#, such as generics, LINQ, and asynchronous programming features. You\'ll get up to speed on .NET 8 and the latest C# 11.0 and 12.0 additions, including generic math, new polymorphism options, enhanced pattern matching, and new features designed to improve productivity.This book helps you:Understand how .NET has changed in recent releases and learn what it means for application developmentSelect the appropriate C# language features for any taskLearn when to use the new features and when to stick with older onesExamine the range of functionality in .NET\'s class librariesApply these class libraries to practical programming tasksExplore numerous small additions to .NET that improve expressiveness Σελίδες: 833, Διαστάσεις: 17.8x17.8cm

While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery? This practical book teaches you the skills necessary to put AI and machine learning to work at your company. Applied Machine Learning and AI for Engineers provides examples and illustrations from the AI and ML course Prosise teaches at companies and research institutions worldwide. There\'s no fluff and no scary equations--just a fast start for engineers and software developers, complete with hands-on examples. This book helps you: Learn what machine learning and deep learning are and what they can accomplish Understand how popular learning algorithms work and when to apply them Build machine learning models in Python with Scikit-Learn, and neural networks with Keras and TensorFlow Train and score regression models and binary and multiclass classification models Build facial recognition models and object detection models Build language models that respond to natural-language queries and translate text to other languages Use Cognitive Services to infuse AI into the apps that you write Σελίδες: 425

Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine. In the second edition of this practical guide, you\'ll learn how to conduct analytics on data where it lives, whether it\'s a data lake using Hive, a modern lakehouse with Iceberg or Delta Lake, a different system like Cassandra, Kafka, or SingleStore, or a relational database like PostgreSQL or Oracle. Analysts, software engineers, and production engineers learn how to manage, use, and even develop with Trino and make it a critical part of their data platform. Authors Matt Fuller, Manfred Moser, and Martin Traverso show you how a single Trino query can combine data from multiple sources to allow for analytics across your entire organization. Explore Trino\'s use cases, and learn about tools that help you connect to Trino for querying and processing huge amounts of data Learn Trino\'s internal workings, including how to connect to and query data sources with support for SQL statements, operators, functions, and more Deploy and secure Trino at scale, monitor workloads, tune queries, and connect more applications Learn how other organizations apply Trino successfully Σελίδες: 319, Διαστάσεις: 17.8x17.8cm

What will you learn from this book? If you\'re a software developer looking for a quick on-ramp to software architecture, this handy guide is a great place to start. From the authors of Fundamentals of Software Architecture, Head First Software Architecture teaches you how to think architecturally and explores the unique challenges of software architecture. You\'ll learn the distinction between architecture and design and the relationship between code, components, and architectural styles. You\'ll also learn how to work with some common architectural styles through vivid, fun examples. Quick, easy, and entertaining, this book is a valuable introduction to the world of software architecture. Why does this book look so different? Based on the latest research in cognitive science and learning theory, Head First Software Architecture uses a visually rich format to engage your mind, rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multisensory learning experience is designed for the way your brain really works. Σελίδες: 550, Διαστάσεις: 20.3x20.3cm

Good software design is essential for the success of your project, but designing software is hard to do. You need to have a deep understanding of the consequences of design decisions and a good overview of available design alternatives. With this book, experienced C++ developers will get a thorough, practical, and unparalleled overview of software design with this modern language. C++ trainer and consultant Klaus Iglberger explains how you can manage dependencies and abstractions, improve changeability and extensibility of software entities, and apply and implement modern design patterns to help you take advantage of today\'s possibilities. Design is the most essential aspect of a software project because it impacts the software\'s most important properties: maintainability, changeability, and extensibility. Learn how to evaluate your code with respect to software designUnderstand what software design is, including design goals such as changeability and extensibilityExplore the advantages and disadvantages of each design approachLearn how design patterns help solve problems and express intentChoose the right form of a design pattern to gain most of its advantages Έτος Έκδοσης: 2022, Διαστάσεις: 177x177cm

Introduction to Statistics and SPSS in Psychology guides the reader carefully and concisely up the statistics staircase to success. Each step is supported by helpful visuals as well as advice on how to overcome problems. Interactive, lively, but never patronising, this is the complete guide to statistics that will take readers through their degree course from beginning to end.   Take a step in the right direction and tackle statistics head on with this visual introduction.   Σελίδες: 632, Διαστάσεις: 19.5x19.5cm

Whether you\'re part of a small startup or a planet-spanning megacorp, this practical book shows data scientists, SREs, and business owners how to run ML reliably, effectively, and accountably within your organization. You\'ll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization. By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guests show you how to run an efficient ML system. Whether you want to increase revenue, optimize decision-making, solve problems, or understand and influence customer behavior, you\'ll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind. You\'ll examine: What ML is: how it functions and what it relies on Conceptual frameworks for understanding how ML \"loops\" work Effective \"productionization,\" and how it can be made easily monitorable, deployable, and operable Why ML systems make production troubleshooting more difficult, and how to get around them How ML, product, and production teams can communicate effectively Σελίδες: 350, Διαστάσεις: 17.8x17.8cm

Snowflake\'s ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users at all levels within an organization to make data-driven decisions. This clear, comprehensive guide will show you how to build integrated data applications and develop new revenue streams based on data. The author deftly unravels complex topics, provides hands-on SQL examples, and reveals how you can use the Snowflake Data Cloud to avoid replatforming or migrating data unnecessarily. You will learn how to: Efficiently capture, store, and process large amounts of data at an amazing speed Rapidly ingest and transform real-time data feeds in both structured and semistructured format and deliver meaningful data insights within minutes Use Time Travel and Zero-Copy cloning to produce a sensible data recovery strategy that balances the need for system resilience with ongoing storage cost Securely share data and reduce or eliminate data integration costs by accessing fresh, ready-to-query data sets available within the Snowflake Data Marketplace Σελίδες: 400

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you\'ll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI. Learn how to empower AI to work for you. This book explains: The structure of the interaction chain of your program\'s AI model and the fine-grained steps in between How AI model requests arise from transforming the application problem into a document completion problem in the model training domain The influence of LLM and diffusion model architecture-and how to best interact with it How these principles apply in practice in the domains of natural language processing, text and image generation, and code Σελίδες: 396, Διαστάσεις: 17.8x17.8cm

What will you learn from this book?Create apps, games, and more using this engaging, highly visual introduction to C#, .NET, and Visual Studio. In the first chapter you\'ll dive right in, building a fully functional game using C# and .NET MAUI that can run on Windows, Mac, and even Android and iOS devices. You\'ll learn how to use classes and object-oriented programming, create 3D games in Unity, and query data with LINQ. And you\'ll do it all by solving puzzles, doing hands-on exercises, and building real-world applications. Interested in a development career? You\'ll learn important development techniques and ideas-many who learned to code with this book are now professional developers, team leads, coding streamers, and more. There\'s no experience required except the desire to learn. And this is the best place to start.What\'s so special about this book?If you\'ve read a Head First book, you know what to expect: a visually rich format designed for the way your brain works. If you haven\'t, you\'re in for a treat. With this book, you\'ll learn C# through a multisensory experience that engages your mind-rather than a text-heavy approach that puts you to sleep. Σελίδες: 780, Διαστάσεις: 20.3x20.3cm

Ideal for working programmers new to Java, this best-selling book guides you through the language features and APIs of Java 21. Through fun, compelling, and realistic examples, authors Marc Loy, Patrick Niemeyer, and Dan Leuck introduce you to Java\'s fundamentals, including its class libraries, programming techniques, and idioms, with an eye toward building real applications. This updated sixth edition expands the content to continue covering lambdas and streams, and shows you how to use a functional paradigm in Java. You\'ll learn about the latest Java features introduced since the book\'s fifth edition, from JDK 15 through 21. You\'ll also take a deep dive into virtual threads (introduced as Project Loom in Java 19). This guide helps you: Learn the structure of the Java language and Java applications Write, compile, and execute Java applications Understand the basics of Java threading and concurrent programming Learn Java I/O basics, including local files and network resources Create compelling interfaces with an eye toward usability Learn how functional features have been integrated in Java Keep up with Java developments as new versions are released Σελίδες: 500, Διαστάσεις: 17.8x17.8cm

Recent breakthroughs in AI have not only increased demand for AI products, they\'ve also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models.The book starts with an overview of AI engineering, explaining how it differs from traditional ML engineering and discussing the new AI stack. The more AI is used, the more opportunities there are for catastrophic failures, and therefore, the more important evaluation becomes. This book discusses different approaches to evaluating open-ended models, including the rapidly growing AI-as-a-judge approach.AI application developers will discover how to navigate the AI landscape, including models, datasets, evaluation benchmarks, and the seemingly infinite number of use cases and application patterns. You\'ll learn a framework for developing an AI application, starting with simple techniques and progressing toward more sophisticated methods, and discover how to efficiently deploy these applications.Understand what AI engineering is and how it differs from traditional machine learning engineeringLearn the process for developing an AI application, the challenges at each step, and approaches to address themExplore various model adaptation techniques, including prompt engineering, RAG, fine-tuning, agents, and dataset engineering, and understand how and why they workExamine the bottlenecks for latency and cost when serving foundation models and learn how to overcome themChoose the right model, dataset, evaluation benchmarks, and metrics for your needsChip Huyen works to accelerate data analytics on GPUs at Voltron Data. Previously, she was with Snorkel AI and NVIDIA, founded an AI infrastructure startup, and taught Machine Learning Systems Design at Stanford. She\'s the author of the book Designing Machine Learning Systems, an Amazon bestseller in AI.AI Engineering builds upon and is complementary to Designing Machine Learning Systems (O\'Reilly). Σελίδες: 528

Geared to intermediate- to advanced-level DBAs and IT professionals looking to enhance their MySQL skills, this guide provides a comprehensive overview on how to manage and optimize MySQL databases. You\'ll learn how to create databases and implement backup and recovery, security configurations, high availability, scaling techniques, and performance tuning.Using practical techniques, tips, and real-world examples, authors Arunjith Aravindan and Jeyaram Ayyalusamy show you how to deploy and manage MySQL, Amazon RDS, Amazon Aurora, and Azure MySQL. By the end of the book, you\'ll have the knowledge and skills necessary to administer, manage, and optimize MySQL databases effectively.Design and implement a scalable and reliable database infrastructure using MySQL 8 on premises and cloudInstall and configure software, manage user accounts, and optimize database performanceUse backup and recovery strategies, security measures, and high availability solutionsApply best practices for database schema design, indexing strategies, and replication techniquesImplement advanced database features and techniques such as replication, clustering, load balancing, and high availabilityTroubleshoot common issues and errors, using diagnostic tools and techniques to identify and resolve problems quickly and efficientlyFacilitate major MySQL upgrades including MySQL 5.7 to MySQL 8 Σελίδες: 614, Διαστάσεις: 17.8x17.8cm

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle Σελίδες: 446

Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that lies at the intersection of hardware, software, data, and algorithms, is required.This book illustrates complex concepts of full stack deep learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project. A scaling effort is only beneficial when it\'s effective and efficient. To that end, this guide explains the intricate concepts and techniques that will help you scale effectively and efficiently.You\'ll gain a thorough understanding of:How data flows through the deep-learning network and the role the computation graphs play in building your modelHow accelerated computing speeds up your training and how best you can utilize the resources at your disposalHow to train your model using distributed training paradigms, i.e., data, model, and pipeline parallelismHow to leverage PyTorch ecosystems in conjunction with NVIDIA libraries and Triton to scale your model trainingDebugging, monitoring, and investigating the undesirable bottlenecks that slow down your model trainingHow to expedite the training lifecycle and streamline your feedback loop to iterate model developmentA set of data tricks and techniques and how to apply them to scale your training modelHow to select the right tools and techniques for your deep-learning projectOptions for managing the compute infrastructure when running at scale Σελίδες: 400, Διαστάσεις: 17.8x17.8cm

Financial Data Analysis with R: Monte-Carlo Validation is a comprehensive exploration of statistical methodologies and their applications in finance. Readers are taken on a journey in each chapter through practical explanations and examples, enabling them to develop a solid foundation of these methods in R and their applications in finance.This book serves as an indispensable resource for finance professionals, analysts, and enthusiasts seeking to harness the power of data-driven decision-making.The book goes beyond just teaching statistical methods in R and incorporates a unique section of informative Monte-Carlo simulations. These Monte-Carlo simulations are uniquely designed to showcase the reader the potential consequences and misleading conclusions that can arise when fundamental model assumptions are violated. Through step-by-step tutorials and realworld cases, readers will learn how and why model assumptions are important to follow.With a focus on practicality, Financial Data Analysis with R: Monte-Carlo Validation equips readers with the skills to construct and validate financial models using R. The Monte-Carlo simulation exercises provide a unique opportunity to understand the methods further, making this book an essential tool for anyone involved in financial analysis, investment strategy, or risk management. Whether you are a seasoned professional or a newcomer to the world of financial analytics, this book serves as a guiding light, empowering you to navigate the landscape of finance with precision and confidence.Key Features:An extensive compilation of commonly used financial data analytics methods from fundamental to advanced levelsLearn how to model and analyze financial data with step-by-step illustrations in R and ready-to-use publicly available dataIncludes Monte-Carlo simulations uniquely designed to showcase the reader the potential consequences and misleading conclusions that arise when fundamental model assumptions are violatedData and computer programs are available for readers to replicate and implement the models and methods themselves Σελίδες: 276, Διαστάσεις: 15.6x15.6cm

Why are so many companies adopting GitOps for their DevOps and cloud native strategy? This reliable framework is quickly becoming the standard method for deploying apps to Kubernetes. With this practical, developer-oriented book, DevOps engineers, developers, IT architects, and SREs will learn the most useful recipes and examples for following GitOps practices. Through their years of experience in application modernization, CI/CD, and automation, authors Alex Soto Bueno and Natale Vinto from Red Hat walk you through all the steps necessary for successful hands-on application development and deployment with GitOps. Once you start using the recipes in this book, you\'ll have a head start in development cycles on Kubernetes following the GitOps approach. You\'ll learn how to: Develop and deploy applications on Kubernetes Understand the basics of CI/CD and automation on Kubernetes, and apply GitOps practices to implement development cycles on the platform Prepare the app for deployment on multiple environments and/or multiple Kubernetes clusters Deploy apps for either multiple environments using GitOps and Argo CD, or for Kubernetes clusters Create Kubernetes-native pipelines with Tekton Provide and extend DevOps skills for the team working on Kubernetes Use progressive delivery to put your applications into production Σελίδες: 242, Διαστάσεις: 17.8x17.8cm

What will you learn from this book? Ready to learn Java? This book combines puzzles, strong visuals, mysteries, and soul-searching interviews with famous Java objects to engage you in many different ways. It\'s fast, it\'s fun, and it\'s effective. And despite its playful appearance, Head First Java is serious stuff: a complete introduction to object-oriented programming and Java. You\'ll learn everything from the fundamentals to advanced topics. The new third edition brings the book up-to-date for Java 8-17, including major recent updates to the Java language and development platform. Java has seen some deep code-level changes and more modern approaches, requiring even more careful study and implementation. So learning the Head First way is more important than ever. What\'s so special about this book? If you\'ve read a Head First book, you know what to expect--a visually rich format designed for the way your brain works. If you haven\'t, you\'re in for a treat. With this book, you\'ll learn Java through a multi-sensory experience that engages your mind rather than a text-heavy approach that puts you to sleep. Σελίδες: 688, Διαστάσεις: 20.2x20.2cm

The software development ecosystem is constantly changing, providing a constant stream of new tools, frameworks, techniques, and paradigms. Over the past few years, incremental developments in core engineering practices for software development have created the foundations for rethinking how architecture changes over time, along with ways to protect important architectural characteristics as it evolves. This practical guide ties those parts together with a new way to think about architecture and time. Σελίδες: 250, Διαστάσεις: 17.8x17.8cm

Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all—IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you\'ll learn how: IPython and Jupyter provide computational environments for scientists using Python NumPy includes the ndarray for efficient storage and manipulation of dense data arrays Pandas contains the DataFrame for efficient storage and manipulation of labeled/columnar data Matplotlib includes capabilities for a flexible range of data visualizations Scikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms Σελίδες: 550, Διαστάσεις: 17.8x17.8cm

In just five years, Kubernetes has radically changed the way developers and ops personnel build, deploy, and maintain applications in the cloud. With this book\'s updated third edition, you\'ll learn how this popular container orchestrator can help your company achieve new levels of velocity, agility, reliability, and efficiency--whether you\'re new to distributed systems or have been deploying cloud native apps for some time. Brendan Burns, Joe Beda, Kelsey Hightower, and Lachlan Evenson--who have worked on Kubernetes at Google and beyond--explain how this system fits into the life cycle of a distributed application. Software developers, engineers, and architects will learn ways to use tools and APIs to automate scalable distributed systems for online services, machine learning applications, or even a cluster of Raspberry Pi computers. This guide shows you how to: Create a simple cluster to learn how Kubernetes works Dive into the details of deploying an application using Kubernetes Learn specialized objects in Kubernetes, such as DaemonSets, jobs, ConfigMaps, and secrets Explore deployments that tie together the lifecycle of a complete application Get practical examples of how to develop and deploy real-world applications in Kubernetes Σελίδες: 320, Διαστάσεις: 17.8x17.8cm

This book is the definitive reference on PL/SQL, considered throughout the database community to be the best Oracle programming book available. Like its predecessors, this 6th edition of Oracle PL/SQL Programming covers language fundamentals, advanced coding techniques, and best practices for using Oracle\'s powerful procedural language. Thoroughly updated for Oracle Database 12c, this edition reveals new PL/SQL features and provides extensive code samples, ranging from simple examples to complex and complete applications, in the book and on the companion website. It\'s an indispensable reference for both novices and experienced Oracle programmers. Σελίδες: 1200

This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you\'re comfortable with Python and its libraries, including pandas and scikit-learn, you\'ll be able to address specific problems all the way from loading data to training models and leveraging neural networks. Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure it works. From there, you can adapt these recipes according to your use case or application. Recipes include a discussion that explains the solution and provides meaningful context. Go beyond theory and concepts by learning the nuts and bolts you need to construct working machine learning applications. You\'ll find recipes for: Vectors, matrices, and arrays Working with data from CSV, JSON, SQL, databases, cloud storage, and other sources Handling numerical and categorical data, text, images, and dates and times Dimensionality reduction using feature extraction or feature selection Model evaluation and selection Linear and logical regression, trees and forests, and k-nearest neighbors Support vector machines (SVM), naive Bayes, clustering, and tree-based models Saving and loading trained models from multiple frameworks Σελίδες: 380, Διαστάσεις: 17.8x17.8cm

Software as a service (SaaS) is on the path to becoming the de facto model for building, delivering, and operating software solutions. Adopting the multi-tenant model of SaaS requires builders to take on a broad range of new architecture, implementation, and operational challenges. How data is stored, how resources are isolated, how tenants are authenticated, how microservices are built-these are all examples of areas that builders must consider when designing and creating SaaS offerings. This practical book equips SaaS builders and architects with a collection of patterns, strategies, and insights to help you bridge these technical and business challenges. Tod Golding, a global SaaS lead at AWS, provides you with an end-to-end view of SaaS architecture and development techniques for addressing the unique blend of challenges associated with building a robust SaaS solution that realizes its full potential. Develop a clear view of the landscape of SaaS architecture patterns and strategies Walk through all the moving parts of the SaaS environment, identifying the trade-offs and considerations that will influence the footprint of your multi-tenant solution Examine multi-tenant constructs through the lens of real-world SaaS solutions Go inside multi-tenant microservices, exploring strategies and techniques that are used to reduce developer complexity and hide away the details of tenancy Identify design and architecture strategies that allow teams to support a range of workloads and tenant experiences Learn foundational principles for building robust multi-tenant SaaS offerings Learn the inner workings of SaaS architecture patterns, including tenant isolation, noisy neighbor, tiering, onboarding, identity, and data partitioning Σελίδες: 425, Διαστάσεις: 17.8x17.8cm

With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable. Authors Yada Pruksachatkun, Matthew McAteer, and Subhabrata Majumdar translate best practices in the academic literature for curating datasets and building models into a blueprint for building industry-grade trusted ML systems. With this book, engineers and data scientists will gain a much-needed foundation for releasing trustworthy ML applications into a noisy, messy, and often hostile world. You\'ll learn: Methods to explain ML models and their outputs to stakeholders How to recognize and fix fairness concerns and privacy leaks in an ML pipeline How to develop ML systems that are robust and secure against malicious attacks Important systemic considerations, like how to manage trust debt and which ML obstacles require human intervention Σελίδες: 350, Διαστάσεις: 17.8x17.8cm

Don\'t waste time bending Python to fit patterns you\'ve learned in other languages. Python\'s simplicity lets you become productive quickly, but often this means you aren\'t using everything the language has to offer. With the updated edition of this hands-on guide, you\'ll learn how to write effective, modern Python 3 code by leveraging its best ideas. Discover and apply idiomatic Python 3 features beyond your past experience. Author Luciano Ramalho guides you through Python\'s core language features and libraries and teaches you how to make your code shorter, faster, and more readable. Complete with major updates throughout, this new edition features five parts that work as five short books within the book: Data structures: Sequences, dicts, sets, Unicode, and data classes Functions as objects: First-class functions, related design patterns, and type hints in function declarations Object-oriented idioms: Composition, inheritance, mixins, interfaces, operator overloading, protocols, and more static types Control flow: Context managers, generators, coroutines, async/await, and thread/process pools Metaprogramming: Properties, attribute descriptors, class decorators, and new class metaprogramming hooks that replace or simplify metaclasses Σελίδες: 850, Διαστάσεις: 17.8x17.8cm

With the accelerating speed of business and the increasing dependence on technology, companies today are significantly changing the way they build in-house business solutions. Many now use low-code and no code technologies to help them deal with specific issues, but that\'s just the beginning. With this practical guide, power users and developers will discover ways to resolve everyday challenges by building end-to-end solutions with the Microsoft Power Platform. Author Jason Rivera, who specializes in SharePoint and the Microsoft 365 solution architecture, provides a comprehensive overview of how to use the Power Platform to build end-to-end solutions that address tactical business needs. By learning key components of the platform, including Power Apps, Power Automate, and Power BI, you\'ll be able to build low-code and no code applications, automate repeatable business processes, and create interactive reports from available data. Learn how the Power Platform apps work together Incorporate AI into the Power Platform without extensive ML or AI knowledge Create end-to-end solutions to solve tactical business needs, including data collection, process automation, and reporting Build AI-based solutions using Power Virtual Agents and AI Builder Σελίδες: 300, Διαστάσεις: 17.8x17.8cm

Josef Albers\' groundbreaking series Homage to the Square comprises roughly two thousand oil paintings. His continuous reflections and refinements for more than 25 years inspired numerous young minimal and conceptual artists in their search for a reduced formal language. This outstanding catalogue explores the secret of Albers\' subtle aesthetic and unearths its preconditions: What is the significance of the square? How does his impression of color and its use as a material change during this period? Featuring studies on paper, archival materials, as well as essays by internationally leading Albers experts, Margit Rowell and Donal Judd, this richly illustrated publication sheds light on the various inspirations that influenced Albers early on in Europe and later in America, and illustrates the lasting impact of his art and thinking. Σελίδες: 356, Έτος Έκδοσης: 0405, Διαστάσεις: 22x22cm

Inside the interwar British design store that pioneered midcentury modern plywood furniture “It was simple furniture ... and we were makers of it.” In 1931, the English designer Gerald Summers (1899–1967) and his partner, Marjorie Butcher (1909–96), opened their London shop Makers of Simple Furniture. A small company, they produced made-to-order furniture. Until the firm’s closing in 1940, Makers of Simple Furniture produced hundreds of ingenious furniture designs in plywood. Conceived, in Summers’ words, as “furniture for the concrete age,” this singular body of work shaped the notion of the modern interior in Britain. Makers of Simple Furniture tells for the first time the compelling story of the firm and its dedicated proprietors. Drawing on Butcher’s vivid recollections and a wealth of unpublished material—including never-before-seen images, personal correspondence, workshop documents and illustrated specification sheets—the book reveals the magnitude of their achievements and restores a neglected chapter in the history of modern design. This publication is made possible in part by a grant from the Graham Foundation for Advanced Studies in the Fine Arts. Σελίδες: 360, Έτος Έκδοσης: 0228, Διαστάσεις: 21.5x21.5cm