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Podcasts
Lim Mei Ying, Spencer Harbar, Stefan Gossner
The release of Microsoft Content Management Server (MCMS) Service Pack 2 opens up the world of ASP.NET 2.0 to MCMS developers. Written by the masters of MCMS, this book shows you how to use the new features of ASP.NET 2.0 that everyone is talking about in your MCMS development.You will first learn how to install and configure MCMS SP2. There are two approaches to setting up a development environment for SP2: an upgrade from a previous SP1a installation or starting from scratch and building a fresh installation including SP2. Of course, both approaches are covered.You will become familiar with the MCMS Service Pack 2 development environment, and create custom Visual Studio 2005 templates to overcome some of the issues which are present with the templates shipped with MCMS SP2.After that, its time to look at some of the most exciting features of ASP.NET 2.0, and how you can make use of them in MCMS: master pages, site navigation, themes, and the membership provider model.One of the coolest features introduced with ASP.NET 2.0 is master pages, which allow developers to enforce common layout and behaviour across pages within an application. You will learn about the benefits of using master pages and see a step-by-step guide for implementing them in your MCMS applications, where they become master templates!ASP.NET 2.0 introduces a whole new way of implementing site navigation, driven by site maps. By programmatically adding channels and postings to a site map you will see how to smoothly integrate these controls to any MCMS site.To customize the look of your site, we will see how a common look and feel can be applied efficiently to a MCMS site by using ASP.NET 2.0 themes. An essential customization required for themes to work correctly in an MCMS site is a must-read feature of this chapter.MCMS has its own role based authorization and user management system which cannot be extended. However, the new ASP.NET 2.0 Membership Provider Model and the shipped controls can be used within MCMS applications to improve the implementation of Forms Authentication and provide a more elegant solution for authenticating against an external store.A collection of tips and tricks round off the book, including using the Provider Model design pattern to ease migration to Office SharePoint Portal Server
This book is for Django developers looking to create optimized and scalable web applications using microservices. With it, you’ll learn the principles of microservices and message/task queues and build your first microservices with Django RESTful APIs (DFR) and RabbitMQ. You’ll also master the fundamentals, dockerize your microservices, and optimize and secure them for production environments. By the end, you'll have the skills to design and develop production-ready Django microservices applications with DFR, Celery/RabbitMQ, Redis, and Django's cache framework.
The course begins with an engaging introduction to the world of Artificial Intelligence, making it approachable for absolute beginners. We unravel the mysteries of AI's evolution, from its historical roots to the cutting-edge technologies shaping our future. By explaining complex concepts in simple terms, this course aims to illuminate the path for those curious about how AI impacts our world.The course focuses on the core components of AI, including machine learning, deep learning, and natural language processing, before advancing to more specialized topics like generative AI and computer vision. Each module is designed to build a comprehensive understanding, emphasizing why these technologies are crucial for solving real-world problems and how they're transforming industries.The course wraps up by exploring the ethical considerations and privacy concerns associated with AI, along with a visionary look at the future of work in an AI-driven world. It offers a treasure trove of further resources, ensuring learners have everything they need to continue their exploration of AI.
Working with Linux - Quick Hacks for the Command Line. Command line power like you've never seen
Websites, online services, databases, and pretty much every other computer that offers public services runs on Linux. From small servers to clusters, Linux is anywhere and everywhere. With such a broad usage, the demand for Linux specialists is ever growing. For the engineers out there, this means being able to develop, interconnect, and maintain Linux environments.This book will help you increase your terminal productivity by using Terminator, Guake and other tools. It will start by installing Ubuntu and will explore tools and techniques that will help you to achieve more work with less effort. Next, it will then focus on Terminator, the ultimate terminal, and vim, one of the most intelligent console editors. Futhermore, the readers will see how they can increase their command line productivity by using sed, find, tmux, network, autoenv. The readers will also see how they can edit files without leaving the terminal and use the screen space efficiently and copy-paste like a pro. Towards the end, we focus on network settings, Git hacks, and creating portable environments for development and production using Docker. Through this book, you will improve your terminal productivity by seeing how to use different tools.
Valery Manokhin, Agus Sudjianto
In the rapidly evolving landscape of machine learning, the ability to accurately quantify uncertainty is pivotal. Practical Guide to Applied Conformal Prediction in Python addresses this need by offering an in-depth exploration of Conformal Prediction, a cutting-edge framework set to revolutionize uncertainty management in various ML applications.Embark on a comprehensive journey through Conformal Prediction, exploring its fundamentals and practical applications in binary classification, regression, time series forecasting, imbalanced data, computer vision, and NLP. Each chapter delves into specific aspects, offering hands-on insights and best practices for enhancing prediction reliability. The book concludes with a focus on multi-class classification nuances, providing expert-level proficiency to seamlessly integrate Conformal Prediction into diverse industries. Practical examples in Python using real-world datasets reinforce intuitive explanations, ensuring you acquire a robust understanding of this modern framework for uncertainty quantification.This guide is a beacon for mastering Conformal Prediction in Python, providing a blend of theory and practical application. It serves as a comprehensive toolkit to enhance machine learning skills, catering to professionals from data scientists to ML engineers.
The IBM Quantum Platform was built to enable developers to learn the basics of quantum computing by providing access to high performant quantum computers and provide documentation and courses to help get up to speed with the latest features in quantum computing. Updated with new examples and changes to the platform, this edition begins with an introduction to the IBM Quantum Platform and the Quantum Information Science Kit (Qiskit) SDK. You will become well versed in the IBM Quantum Composer interface as well as running your quantum circuits on a real quantum computer. Along the way, you’ll learn some of the fundamental principles regarding quantum mechanics, qubits, quantum gates, quantum circuits, and the error mitigation techniques that are used to perform operations on qubits. As you build on your knowledge, you’ll understand the functionality of IBM Qiskit and the developer-focused resources so you can create your own quantum algorithms. You’ll learn how to monitor and optimize your quantum circuits. Lastly, you’ll look at the fundamental quantum algorithms and understand how they can be applied effectively. By the end of this quantum computing book, you'll know how to build quantum algorithms and will have gained a practical understanding of quantum computation that you can apply to your research or business.