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Podcasty
Windows Terminal is a new and open-source command-line application for Windows 10, built for the Command Prompt, PowerShell, Windows Subsystem for Linux, and more. It's fast, modern, and configurable thanks to its GPU-accelerated rendering, excellent UTF-8 support, and JSON-based configurability, and this book can help you learn how to leverage these features.You’ll start by learning the benefits of Windows Terminal and its open-source development, as well as how to use the built-in tabs, panes, and key bindings to build your own efficient terminal workflows. After you’ve mastered Windows Terminal, this book shows how to use and configure PowerShell Core and the Windows Subsystem for Linux within Windows Terminal. You’ll maximize your productivity using powerful tools such as PSReadLine for PowerShell and ZSH on Linux, and discover useful tips and tricks for common developer tools like Git and SSH. Finally, you’ll see how Windows Terminal can be used in common development and DevOps tasks, such as developing frontend JavaScript applications and backend REST APIs, and managing cloud-based systems like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud.By the end of this book, you'll not only be well-versed with Windows Terminal, but also have learned how to effectively use shells like PowerShell Core and ZSH to become proficient at the command line.
Python stands out as a powerhouse in DevOps, boasting unparalleled libraries and support, which makes it the preferred programming language for problem solvers worldwide. This book will help you understand the true flexibility of Python, demonstrating how it can be integrated into incredibly useful DevOps workflows and workloads, through practical examples.You'll start by understanding the symbiotic relation between Python and DevOps philosophies and then explore the applications of Python for provisioning and manipulating VMs and other cloud resources to facilitate DevOps activities. With illustrated examples, you’ll become familiar with automating DevOps tasks and learn where and how Python can be used to enhance CI/CD pipelines. Further, the book highlights Python’s role in the Infrastructure as Code (IaC) process development, including its connections with tools like Ansible, SaltStack, and Terraform. The concluding chapters cover advanced concepts such as MLOps, DataOps, and Python’s integration with generative AI, offering a glimpse into the areas of monitoring, logging, Kubernetes, and more.By the end of this book, you’ll know how to leverage Python in your DevOps-based workloads to make your life easier and save time.
ink is a narrative scripting language designed for use with game engines such as Unity through a plugin that provides an application programming interface (API) to help you to move between the branches of a story and access the values within it.Hands-On Dynamic Story Scripting with the ink Scripting Language begins by showing you how ink understands stories and how to write some simple branching projects. You'll then move on to advanced usage with looping structures, discovering how to use variables to set up dynamic events in a story and defining simple rules to create complex narratives for use with larger Unity projects. As you advance, you'll learn how the Unity plugin allows access to a running story through its API and explore the ways in which this can be used to move data in and out of an ink story to adapt to different interactions and forms of user input. You'll also work with three specific use cases of ink with Unity by writing a dialogue system and creating quest structures and other branching narrative patterns. Finally, this will help you to find out how ink can be used to generate procedural storytelling patterns for Unity projects using different forms of data input.By the end of this book, you will be able to move from a simple story to an intricate Unity project using ink to power complex narrative structures.
Adrian Neagu, Robert Pelletier
IBM DB2 LUW is a leading relational database system developed by IBM. DB2 LUW database software offers industry leading performance, scale, and reliability on your choice of platform on various Linux distributions, leading Unix Systems like AIX, HP-UX and Solaris and MS Windows platforms. With lots of new features, DB2 9.7 delivers one the best relational database systems in the market.IBM DB2 9.7 Advanced Administration Cookbook covers all the latest features with instance creation, setup, and administration of multi-partitioned database.This practical cookbook provides step-by-step instructions to build and configure powerful databases, with scalability, safety and reliability features, using industry standard best practices.This book will walk you through all the important aspects of administration. You will learn to set up production capable environments with multi-partitioned databases and make the best use of hardware resources for maximum performance. With this guide you can master the different ways to implement strong databases with a High Availability architecture.
Shyam Varan Nath, Pieter van Schalkwyk, Dan Isaacs
Digital twin technology enables organizations to create digital representations of physical entities such as assets, systems, and processes throughout their life cycle. It improves asset performance, utilization, and safe operations and reduces manufacturing, operational, and maintenance costs.The audiobook begins by introducing you to the concept of digital twins and sets you on a path to develop a digital twin strategy to positively influence business outcomes in your organization. You'll understand how digital twins relate to physical assets, processes, and technology and learn about the prerequisite conditions for the right platform, scale, and use case of your digital twins. You'll then get hands-on with Microsoft's Azure Digital Twins platform for your digital twin development and deployment. The audiobook equips you with the knowledge to evaluate enterprise and specialty platforms, including the cloud and industrial IoT required to set up your digital twin prototype. Once you've built your prototype, you'll be able to test and validate it relative to the intended purpose of the twin through pilot deployment, full deployment, and value tracking techniques.By the end of this audiobook, you'll have developed the skills to build and deploy your digital twin prototype, or minimum viable twin, to demonstrate, assess, and monitor your asset at specific stages in the asset life cycle.
Getting clean data to reveal insights is essential, as directly jumping into data analysis without proper data cleaning may lead to incorrect results. This book shows you tools and techniques that you can apply to clean and handle data with Python. You'll begin by getting familiar with the shape of data by using practices that can be deployed routinely with most data sources. Then, the book teaches you how to manipulate data to get it into a useful form. You'll also learn how to filter and summarize data to gain insights and better understand what makes sense and what does not, along with discovering how to operate on data to address the issues you've identified. Moving on, you'll perform key tasks, such as handling missing values, validating errors, removing duplicate data, monitoring high volumes of data, and handling outliers and invalid dates. Next, you'll cover recipes on using supervised learning and Naive Bayes analysis to identify unexpected values and classification errors, and generate visualizations for exploratory data analysis (EDA) to visualize unexpected values. Finally, you'll build functions and classes that you can reuse without modification when you have new data. By the end of this Python book, you'll be equipped with all the key skills that you need to clean data and diagnose problems within it.
Learn PostgreSQL. Build and manage high-performance database solutions using PostgreSQL 12 and 13
PostgreSQL is one of the fastest-growing open source object-relational database management systems (DBMS) in the world. As well as being easy to use, it’s scalable and highly efficient. In this book, you’ll explore PostgreSQL 12 and 13 and learn how to build database solutions using it. Complete with hands-on tutorials, this guide will teach you how to achieve the right database design required for a reliable environment.You'll learn how to install and configure a PostgreSQL server and even manage users and connections. The book then progresses to key concepts of relational databases, before taking you through the Data Definition Language (DDL) and commonly used DDL commands. To build on your skills, you’ll understand how to interact with the live cluster, create database objects, and use tools to connect to the live cluster. You’ll then get to grips with creating tables, building indexes, and designing your database schema. Later, you'll explore the Data Manipulation Language (DML) and server-side programming capabilities of PostgreSQL using PL/pgSQL, before learning how to monitor, test, and troubleshoot your database application to ensure high-performance and reliability.By the end of this book, you'll be well-versed with the Postgres database and be able to set up your own PostgreSQL instance and use it to build robust solutions.
Start your journey into reinforcement learning (RL) and reward yourself with the third edition of Deep Reinforcement Learning Hands-On. This book takes you through the basics of RL to more advanced concepts with the help of various applications, including game playing, discrete optimization, stock trading, and web browser navigation. By walking you through landmark research papers in the fi eld, this deep RL book will equip you with practical knowledge of RL and the theoretical foundation to understand and implement most modern RL papers. The book retains its approach of providing concise and easy-to-follow explanations from the previous editions. You'll work through practical and diverse examples, from grid environments and games to stock trading and RL agents in web environments, to give you a well-rounded understanding of RL, its capabilities, and its use cases. You'll learn about key topics, such as deep Q-networks (DQNs), policy gradient methods, continuous control problems, and highly scalable, non-gradient methods. If you want to learn about RL through a practical approach using OpenAI Gym and PyTorch, concise explanations, and the incremental development of topics, then Deep Reinforcement Learning Hands-On, Third Edition, is your ideal companion
Do you think that only experts with a deep understanding of the inner workings of ASP.NET, SQL Server, and IIS can improve a website's performance? Think again – because this book tosses that notion out of the window. It will help you resolve every web developer's nightmare – a slow website – with angry managers looking over your shoulder, raging calls from advertisers and clients – the lot. You don't have the time or energy to gain a thorough and complete understanding of ASP.NET performance optimization – You just need your site to run faster! This book will show you how.This hands-on book shows how to dramatically improve the performance of your ASP.NET-based website straight away, without forcing you through a lot of theoretical learning. It teaches you practical, step-by-step techniques that you can use right away to make your site faster with just the right amount of theory you need to make sense of it all.Start reading today and you could have a faster website tomorrow.Unlike other performance-related books, here you'll first learn how to pinpoint the bottlenecks that hold back your site's performance, so you can initially focus your time and energy on those areas of your site where you can quickly make the biggest difference. It then shows you how to fix the bottlenecks you found with lots of working code samples and practical advice, and just the right amount of theoretical detail.The first chapter details techniques for diagnosing performance issues using Waterfall charts. Subsequent chapters then each focus on one individual aspect of your website, providing you with numerous real-life scenarios and performance-enhancing techniques for each of them. In the last chapter, you learn how to effectively load-test your environment in order to measure the change in performance of your site without having to update your production environment – whether it is a new release or simply a small change in the database.
Big Data on Kubernetes. A practical guide to building efficient and scalable data solutions
In today's data-driven world, organizations across different sectors need scalable and efficient solutions for processing large volumes of data. Kubernetes offers an open-source and cost-effective platform for deploying and managing big data tools and workloads, ensuring optimal resource utilization and minimizing operational overhead. If you want to master the art of building and deploying big data solutions using Kubernetes, then this book is for you.Written by an experienced data specialist, Big Data on Kubernetes takes you through the entire process of developing scalable and resilient data pipelines, with a focus on practical implementation. Starting with the basics, you’ll progress toward learning how to install Docker and run your first containerized applications. You’ll then explore Kubernetes architecture and understand its core components. This knowledge will pave the way for exploring a variety of essential tools for big data processing such as Apache Spark and Apache Airflow. You’ll also learn how to install and configure these tools on Kubernetes clusters. Throughout the book, you’ll gain hands-on experience building a complete big data stack on Kubernetes.By the end of this Kubernetes book, you’ll be equipped with the skills and knowledge you need to tackle real-world big data challenges with confidence.