Informatyka
Quan Nguyen
Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently, but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming.Mastering Concurrency in Python starts by introducing the concepts and principles in concurrency, right from Amdahl's Law to multithreading programming, followed by elucidating multiprocessing programming, web scraping, and asynchronous I/O, together with common problems that engineers and programmers face in concurrent programming. Next, the book covers a number of advanced concepts in Python concurrency and how they interact with the Python ecosystem, including the Global Interpreter Lock (GIL). Finally, you'll learn how to solve real-world concurrency problems through examples.By the end of the book, you will have gained extensive theoretical knowledge of concurrency and the ways in which concurrency is supported by the Python language
Javier Fernández González
Concurrency programming allows several large tasks to be divided into smaller sub-tasks, which are further processed as individual tasks that run in parallel. Java 9 includes a comprehensive API with lots of ready-to-use components for easily implementing powerful concurrency applications, but with high flexibility so you can adapt these components to your needs.The book starts with a full description of the design principles of concurrent applications and explains how to parallelize a sequential algorithm. You will then be introduced to Threads and Runnables, which are an integral part of Java 9's concurrency API. You will see how to use all the components of the Java concurrency API, from the basics to the most advanced techniques, and will implement them in powerful real-world concurrency applications.The book ends with a detailed description of the tools and techniques you can use to test a concurrent Java application, along with a brief insight into other concurrency mechanisms in JVM.
Mastering CSS Grid. A comprehensive and practical guide to creating beautiful layouts with CSS Grid
Pascal Thormeier
CSS Grid has revolutionized web design by filling a long-existing gap in creating real, dynamic grids on the web. This book will help you grasp these CSS Grid concepts in a step-by-step way, empowering you with the knowledge and skills needed to design beautiful and responsive grid-based layouts for your web projects.This book provides a comprehensive coverage of CSS Grid by taking you through both fundamental and advanced concepts with practical exercises. You'll learn how to create responsive layouts and discover best practices for incorporating grids into any design. As you advance, you'll explore the dynamic interplay between CSS Grid and flexbox, culminating in the development of a usable responsive web project as a reference for further improvement. You'll also see how frameworks utilize CSS Grid to construct reusable components and learn to rebuild and polyfill CSS Grid for browsers that don't fully support it yet. The concluding chapters include a quick reference and cheat sheet, making this book an indispensable resource for frontend developers of all skill levels.By the end of this book, you'll have thoroughly explored all aspects of CSS Grid and gained expert-level proficiency, enabling you to craft beautiful and functional layouts for web projects of any size.
Mastering Customer Success. Discover tactics to decrease churn and expand revenue
Jeff Mar, Peter Armaly, Mark Stouse
The rapidly evolving customer success landscape has left many Customer Success Managers (CSMs) struggling to keep pace with the complexities of this dynamic role. This Customer Success book bridges the gap by providing a comprehensive framework for mastering the essential skills required to excel.You’ll find out why the Customer Success function is indispensable today and gain expert insights into account segmentation, financial tiering, ideal customer profiles, and the complexity of customer engagement process design. You’ll then delve into playbook development, where you’ll find practical guidance for CSMs and Customer Success Operations Managers who want to improve their ability to drive desired business outcomes. Through insightful case studies, the authors illustrate their own experience of successful Customer Success implementation, showing you what it takes to exceed customer expectations with well-designed, proactive services. The journey doesn’t end there—it extends to highlighting the resilience required to build and operate successful Customer Success organizations.By the end of this guide, you’ll be equipped with the tactics and mindset necessary to stand out as a world-class Customer Success leader in your organization, driving growth at every turn.
Megan Squire
Data mining is an integral part of the data science pipeline. It is the foundation of any successful data-driven strategy – without it, you'll never be able to uncover truly transformative insights. Since data is vital to just about every modern organization, it is worth taking the next step to unlock even greater value and more meaningful understanding.If you already know the fundamentals of data mining with Python, you are now ready to experiment with more interesting, advanced data analytics techniques using Python's easy-to-use interface and extensive range of libraries. In this book, you'll go deeper into many often overlooked areas of data mining, including association rule mining, entity matching, network mining, sentiment analysis, named entity recognition, text summarization, topic modeling, and anomaly detection. For each data mining technique, we'll review the state-of-the-art and current best practices before comparing a wide variety of strategies for solving each problem. We will then implement example solutions using real-world data from the domain of software engineering, and we will spend time learning how to understand and interpret the results we get.By the end of this book, you will have solid experience implementing some of the most interesting and relevant data mining techniques available today, and you will have achieved a greater fluency in the important field of Python data analytics.
David Parker
Microsoft Visio Professional is a data visualization application that is used by many different market sectors and many different departments to represent information visually, from network infrastructure to organization charts, from process diagrams to office layouts. Starting off with a brief introduction to Visio Professional 2016 and then moving on to data storage, linking data to shapes, and working with SQL Server to create a solid foundation. Then we’ll cover topics such as refreshing data, working with geographical data, working with various graphics, and diagrams, and more. Finally, you’ll find out how to deploy custom stencils, templates, and code.
Uroš Kastelic, József Zoltán Vadkerti
Mastering DevOps on Microsoft Power Platform is your guide to revolutionizing business-critical solution development. Written by two Microsoft Technology Specialists with extensive experience in enterprise-scale Power Platform implementations and DevOps practices, this book teaches you how to design, build, and secure efficient DevOps processes by adapting custom software development practices to the Power Platform toolset, dramatically reducing time, cost, and errors in app modernization and quality assurance.The book introduces application life cycle management (ALM) and DevOps-enabled architecture, design patterns, and CI/CD practices, showing you why companies adopt DevOps with Power Platform. You'll master environment and solution management using Dataverse, Git, the Power Platform CLI, Azure DevOps, and GitHub Copilot.Implementing the shift-left approach in DevSecOps using GitHub Advanced Security features, you’ll create a Power Platform tenant governed by controls, automated tests, and backlog management. You’ll also discover advanced concepts, such as fusion architecture, pro-dev extensibility, and AI-infused applications, along with tips to avoid common pitfalls.By the end of this book, you’ll be able to build CI/CD pipelines from development to production, enhancing the life cycle of your business solutions on Power Platform.
Manjunath Gangappa, Rajkumar Rangaraj
Gain the skills to build, monitor, and debug distributed systems in Rust with this hands-on guide to observability using OpenTelemetry. As Rust adoption grows in backend services, developers face fragmented documentation and limited tooling for telemetry. This book fills that gap by presenting a unified, end-to-end solution to implement distributed observability in modern Rust systems.You’ll explore the foundations of observability and Rust’s ownership model before learning how to collect, export, and correlate logs, metrics, and traces. Discover how to instrument applications using OpenTelemetry crates and bridge them with the tracing ecosystem. Learn to deploy the OpenTelemetry Collector, integrate with Prometheus, Grafana, and Jaeger, and tackle challenges like sampling, context propagation, and async tracing.Written by two seasoned engineers with over 35 years of combined experience in large-scale systems and open-source observability leadership, this book balances theory with real-world implementations. From debugging async bottlenecks to configuring cost-effective telemetry pipelines, you’ll finish with the confidence to operate reliable, observable Rust systems at scale.