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Podcasts
Django 1.1 Testing and Debugging. Building rigorously tested and bug-free Django applications
Karen M. Tracey, Karen Tracey, Jacob Kaplan-Moss
Bugs are a time consuming burden during software development. Django's built-in test framework and debugging support help lessen this burden. This book will teach you quick and efficient techniques for using Django and Python tools to eradicate bugs and ensure your Django application works correctly. This book will walk you step by step through development of a complete sample Django application. You will learn how best to test and debug models, views, URL configuration, templates, and template tags. This book will help you integrate with and make use of the rich external environment of test and debugging tools for Python and Django applications. The book starts with a basic overview of testing. It will highlight areas to look out for while testing. You will learn about different kinds of tests available, and the pros and cons of each, and also details of test extensions provided by Django that simplify the task of testing Django applications. You will see an illustration of how external tools that provide even more sophisticated testing features can be integrated into Django's framework. On the debugging front, the book illustrates how to interpret the extensive debugging information provided by Django's debug error pages, and how to utilize logging and other external tools to learn what code is doing.
Citrix XenDesktop is a suite of desktop virtualization tools designed to provide users with fast and convenient access to their Windows desktops and applications through any device. Virtual desktops mean that rather than setting up hundreds or thousands of individual computers in an enterprise, companies can instead opt to create servers with large amounts of memory, disk, and processing resources, and use virtualization to offer these resources to end users. The result of this is that users are provided with an experience that appears to be identical to having an individual desktop PC. Each user has some disk space, processor time, and memory allocated to them, as though it is present on their own physical machine, when in reality, the resources are physically present on a centralized server.This book starts by answering the basic questions you need to ask when considering XenDesktop, followed by methods of how you can properly size your server infrastructure for XenDesktop. You’ll discover how to optimize the virtual machines used in XenDesktop, how to optimize your network for XenDesktop, and how to optimize the hypervisor and the cloud. You’ll also learn how to monitor XenDesktop to maximize performance.By the end of the book, you will be able to plan, design, build, and deploy high performance XenDesktop Virtualization systems in enterprises. You will also know how to monitor and maintain your systems to ensure smooth operation.
The Music Producer's Guide to Ableton Live will help you sharpen your production skills and gain a deeper understanding of the Live workflow. If you are a music maker working with other digital audios workstations (DAWs) or experienced in Ableton Live, perhaps earlier versions, you’ll be able to put your newfound knowledge to use right away with this book.You’ll start with some basic features and workflows that are more suitable for producers from another DAW looking to transfer their skills to Ableton Live 11.2. As you explore the Live concept, you’ll learn to create expressive music using Groove and MIDI effects and demystify Live 11’s new workflow improvements, such as Note Chance and Velocity Randomization. The book then introduces the Scale Mode, MIDI Transform tools, and other key features that can make composition and coming up with melodic elements easier than ever before. It will also guide you in implementing Live 11's new and updated effects into your current workflow.By the end of this Ableton Live book, you’ll be able to implement advanced production and workflow techniques and amplify live performance capabilities with what the Live 11 workflow has to offer.
Machine Learning for Finance. Principles and practice for financial insiders
Machine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including insurance, transactions, and lending. This book explains the concepts and algorithms behind the main machine learning techniques and provides example Python code for implementing the models yourself.The book is based on Jannes Klaas’ experience of running machine learning training courses for financial professionals. Rather than providing ready-made financial algorithms, the book focuses on advanced machine learning concepts and ideas that can be applied in a wide variety of ways.The book systematically explains how machine learning works on structured data, text, images, and time series. You'll cover generative adversarial learning, reinforcement learning, debugging, and launching machine learning products. Later chapters will discuss how to fight bias in machine learning. The book ends with an exploration of Bayesian inference and probabilistic programming.
Learn how the metaprogramming technique enables you to create data structures and functions that allow computation to happen at compile time. With this book, you'll realize how templates help you avoid writing duplicate code and are key to creating generic libraries, such as the standard library or Boost, that can be used in a multitude of programs.The introductory chapters of this book will give you insights into the fundamentals of templates and metaprogramming. You'll then move on to practice writing complex templates and exploring advanced concepts such as template recursion, template argument deduction, forwarding references, type traits, and conditional compilation. Along the way, you'll learn how to write variadic templates and how to provide requirements to the template arguments with C++20 constraints and concepts. Finally, you'll apply your knowledge of C++ metaprogramming templates to implement various metaprogramming patterns and techniques.By the end of this book, you'll have learned how to write effective templates and implement metaprogramming in your everyday programming journey.
The Unity game engine has revolutionized the gaming industry with its complete set of intuitive tools and rapid workflows, which can be used to create interactive 3D content. With Unity, you can scaffold your way from the basics and make make stunning interactive games. This book will guide you through the entire process of creating a 3D game, from downloading the Unity game engine to publishing your game. It not only gives you a strong foundation, but puts you on the path to game development. Beginning with an overview of the Unity engine and its interface, you will walk through the process of creating a game environment and learn how to use built-in assets, as well as assets created with third-party 3D modeling tools such as Blender. Moving on, you will create custom scripts to control non-player character behaviors and gameplay. You will master exciting concepts such as Heads-Up-Displays, mini-maps, game navigation, sound effects, and lighting effects. Next, you’ll learn how to create your first VR experience, right from setting up the project to image effects. You'll be familiarized with all the tools that Unity has to offer to create your own immersive VR experiences. Each section is a stepping stone toward the completion of the final game. By the end of the book, you'll have learned advanced topics such as cross-platform considerations which enable your games to run on multiple platforms.
Adobe Acrobat can help you solve a wide variety of problems that crop up when you work with PDF documents on a daily basis. The most common file type for business and communication, this compact portable document format is widely used to collect as well as present information, as well as being equipped with many lesser-known features that can keep your content secure while making it easy to share. From archive features that will keep your documents available for years to come to features related to accessibility, organizing, annotating, editing, and whatever else you use PDFs for, Acrobat has the answer if you know where to look.Designed for professionals who likely already use Adobe Acrobat Pro, this guide introduces many ideas, features, and online services, sorted and organized for you to easily find the topics relevant to your work and requirements.You can jump to any chapter without sifting through prior pages to explore the tools and functions explained through step-by-step instructions and examples. The information in some chapters may build on existing knowledge, but you are not expected to have an advanced level of prior experience.By the end of this book, you’ll have gained a solid understanding of the many capabilities of PDFs and how Acrobat makes it possible to work in a way that you will never miss good old ink and paper.
Digital Forensics and Incident Response will guide you through the entire spectrum of tasks associated with incident response, starting with preparatory activities associated with creating an incident response plan and creating a digital forensics capability within your own organization. You will then begin a detailed examination of digital forensic techniques including acquiring evidence, examining volatile memory, hard drive assessment, and network-based evidence. You will also explore the role that threat intelligence plays in the incident response process. Finally, a detailed section on preparing reports will help you prepare a written report for use either internally or in a courtroom.By the end of the book, you will have mastered forensic techniques and incident response and you will have a solid foundation on which to increase your ability to investigate such incidents in your organization.
Using Kotlin without taking advantage of its power and interoperability is like owning a sports car and never taking it out of the garage. While documentation and introductory resources can help you learn the basics of Kotlin, the fact that it’s a new language means that there are limited learning resources and code bases available in comparison to Java and other established languages.This Kotlin book will show you how to leverage software designs and concepts that have made Java the most dominant enterprise programming language. You’ll understand how Kotlin is a modern approach to object-oriented programming (OOP). This book will take you through the vast array of features that Kotlin provides over other languages. These features include seamless interoperability with Java, efficient syntax, built-in functional programming constructs, and support for creating your own DSL. Finally, you will gain an understanding of implementing practical design patterns and best practices to help you master the Kotlin language.By the end of the book, you'll have obtained an advanced understanding of Kotlin in order to be able to build production-grade applications.
Dependency injection is an approach to creating loosely coupled applications. Maintainability, testability, and extensibility are just a few advantages of loose coupling. Ninject is a software library which automates almost everything that we need in order to implement a dependency injection pattern.Mastering Ninject for Dependency Injection will teach you everything you need to know in order to implement dependency injection using Ninject in a real-life project. Not only does it teach you about Ninject core framework features that are essential for implementing dependency injection, but it also explores the power of Ninject's most useful extensions and demonstrates how to apply them.Mastering Ninject for Dependency Injection starts by introducing you to dependency injection and what it's meant for with the help of sufficient examples.Eventually, you'll learn how to integrate Ninject into your practical project and how to use its basic features. Also, you will go through scenarios wherein advanced features of Ninject, such as Multi-binding, Contextual binding, providers, factories and so on, come into play. As you progress, Mastering Ninject for Dependency Injection will show you how to create a multilayer application that demonstrates the use of Ninject on different application types such as MVC, WPF, WCF, and so on. Finally, you will learn the benefits of using the powerful extensions of Ninject.
Aristeidis Bampakos, Mark Thompson
Packed with practical advice and detailed recipes, this updated second edition of Angular Projects will teach you everything you need to know to build efficient and optimized web applications using Angular. Among the things you’ll learn in this book are the essential features of the framework, which you’ll master by creating ten different real-world web applications. Each application will demonstrate how to integrate Angular with a different library and tool. As you advance, you’ll familiarize yourself with implementing popular technologies, such as Angular Router, Scully, Electron, Angular service worker, Nx monorepo tools, NgRx, and more while building an issue tracking system. You’ll also work on a PWA weather application, a mobile photo geotagging application, a component UI library, and many other exciting projects.In the later chapters, you’ll get to grips with customizing Angular CLI commands using schematics.By the end of this book, you will have the skills you need to be able to build Angular apps using a variety of different technologies according to your or your client’s needs.
Ahmad Osama, Shashikant Shakya
Despite being the cloud version of SQL Server, Azure SQL Database and Azure SQL Managed Instance stands out in various aspects when it comes to management, maintenance, and administration. Updated with the latest Azure features, Professional Azure SQL Managed Database Administration continues to be a comprehensive guide for becoming proficient in data management. The book begins by introducing you to the Azure SQL managed databases (Azure SQL Database and Azure SQL Managed Instance), explaining their architecture, and how they differ from an on-premises SQL server. You will then learn how to perform common tasks, such as migrating, backing up, and restoring a SQL Server database to an Azure database. As you progress, you will study how you can save costs and manage and scale multiple SQL databases using elastic pools. You will also implement a disaster recovery solution using standard and active geo-replication. Finally, you will explore the monitoring and tuning of databases, the key features of databases, and the phenomenon of app modernization. By the end of this book, you will have mastered the key aspects of an Azure SQL database and Azure SQL managed instance, including migration, backup restorations, performance optimization, high availability, and disaster recovery.
Navigating the terrain of NLP research and applying it practically can be a formidable task made easy with The Handbook of NLP with Gensim. This book demystifies NLP and equips you with hands-on strategies spanning healthcare, e-commerce, finance, and more to enable you to leverage Gensim in real-world scenarios.You’ll begin by exploring motives and techniques for extracting text information like bag-of-words, TF-IDF, and word embeddings. This book will then guide you on topic modeling using methods such as Latent Semantic Analysis (LSA) for dimensionality reduction and discovering latent semantic relationships in text data, Latent Dirichlet Allocation (LDA) for probabilistic topic modeling, and Ensemble LDA to enhance topic modeling stability and accuracy.Next, you’ll learn text summarization techniques with Word2Vec and Doc2Vec to build the modeling pipeline and optimize models using hyperparameters. As you get acquainted with practical applications in various industries, this book will inspire you to design innovative projects. Alongside topic modeling, you’ll also explore named entity handling and NER tools, modeling procedures, and tools for effective topic modeling applications.By the end of this book, you’ll have mastered the techniques essential to create applications with Gensim and integrate NLP into your business processes.
The TensorFlow Developer Certificate Guide is an indispensable resource for machine learning enthusiasts and data professionals seeking to master TensorFlow and validate their skills by earning the certification. This practical guide equips you with the skills and knowledge necessary to build robust deep learning models that effectively tackle real-world challenges across diverse industries.You’ll embark on a journey of skill acquisition through easy-to-follow, step-by-step explanations and practical examples, mastering the craft of building sophisticated models using TensorFlow 2.x and overcoming common hurdles such as overfitting and data augmentation. With this book, you’ll discover a wide range of practical applications, including computer vision, natural language processing, and time series prediction.To prepare you for the TensorFlow Developer Certificate exam, it offers comprehensive coverage of exam topics, including image classification, natural language processing (NLP), and time series analysis. With the TensorFlow certification, you’ll be primed to tackle a broad spectrum of business problems and advance your career in the exciting field of machine learning. Whether you are a novice or an experienced developer, this guide will propel you to achieve your aspirations and become a highly skilled TensorFlow professional.