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In medium-sized and big projects, coding conventions are defined in order to improve readability and maintainability for all the developers of the team. Stylecop analyzes your code and detects coding rule violations during all the phases of your project lifecycle.Instant StyleCop Code Analysis How-to allows you to take advantage of the features of Stylecop by guiding you through how to configure it, how to integrate it in your project environment, and finally how to personalize it in order to fit your needs.Instant StyleCop Code Analysis How-to teaches you how to configure and integrate Stylecop in your programming environment. The book will do this by showing you how to configure Stylecop on the developers IDE to the continuous integration server.You will also learn how to customize Stylecop to fit your coding style by creating new rules as well as learning how to personalize your headers file. You will also see how to embed it in your own tools, using as an example the creation of a real time analysis add-on for Monodevelop.With Instant StyleCop Code Analysis How-to, you will have an overview of all the required steps to successfully integrate your programming team and enforce your own coding rules.
Increasing Autodesk Revit Productivity for BIM Projects takes a hands-on approach to implementing Revit effectively for everyone curious about this new and exciting methodology.Complete with step-by-step explanations of essential concepts and practical examples, this Revit book begins by explaining the principles of productivity in Revit and data management for BIM projects. You'll get to grips with the primary BIM documentation to start a BIM project, including the contract, Exchange Information Requirements (EIR), and BIM Execution Plan (BEP/BXP). Later, you'll create a Revit template, start a Revit project, and explore the core functionalities of Revit to increase productivity. Once you've built the foundation, you'll learn about Revit plugins and use Dynamo for visual programming and Power BI for analyzing BIM information.By the end of this book, you'll have a solid understanding of Revit as construction and design software, how to increase productivity in Revit, and how to apply multiple workflows in your project to manage BIM.
In order to build robust deep learning systems, you’ll need to understand everything from how neural networks work to training CNN models. In this book, you’ll discover newly developed deep learning models, methodologies used in the domain, and their implementation based on areas of application. You’ll start by understanding the building blocks and the math behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll also learn to apply the most popular CNN architectures in object detection and image segmentation. Further on, you’ll focus on variational autoencoders and GANs. You’ll then use neural networks to extract sophisticated vector representations of words, before going on to cover various types of recurrent networks, such as LSTM and GRU. You’ll even explore the attention mechanism to process sequential data without the help of recurrent neural networks (RNNs). Later, you’ll use graph neural networks for processing structured data, along with covering meta-learning, which allows you to train neural networks with fewer training samples. Finally, you’ll understand how to apply deep learning to autonomous vehicles.By the end of this book, you’ll have mastered key deep learning concepts and the different applications of deep learning models in the real world.
Software engineering is a set of techniques, including programming, within the computer science discipline associated with the development of software products. This practical guide to software engineering will enable aspiring and new developers to satisfy their curiosity about the industry and become ready to learn more about the basics before beginning to explore programming languages, along with helping junior and upcoming developers to effectively apply their knowledge in the field.The book begins by providing you with a comprehensive introduction to software engineering, helping you gain a clear, holistic understanding of its various sub-fields. As you advance, you’ll get to grips with the fundamentals of software engineering, such as flow control, data structures and algorithms. The book also introduces you to C# and guides you in writing your first program. The concluding chapters will cover case studies, including people working in the industry in different engineering roles, as well as interview tips and tricks and coding best practices.By the end of this programming book, you'll have gained practical knowledge of the implementation and associated methodologies in programming that will have you up and running and productive in no time.
Building your own applications is exciting but challenging, especially when tackling complex problems tied to advanced data structures and algorithms. This endeavor demands profound knowledge of the programming language as well as data structures and algorithms. C# Data Structures and Algorithms, armed with critical knowledge from an entrepreneur, author, industry expert, and seasoned developer with significant international experience, offers just that to C# developers.Starting with an introduction to algorithms, this book gradually immerses you in the world of arrays, lists, stacks, queues, dictionaries, and sets. Real-world examples, enriched with code snippets and illustrations, provide a practical understanding of these concepts. You’ll also learn how to sort arrays using various algorithms, setting a solid foundation for your programming expertise. As you progress, you’ll venture into more complex data structures – trees and graphs – and discover algorithms for tasks such as determining the shortest path in a graph before advancing to see various algorithms in action, such as solving Sudoku.By the end of this book, you’ll be able to use the C# language to build algorithmic components that are not only easy to understand and debug but also seamlessly applicable in various apps, spanning web and mobile platforms.
Django is a web framework that was designed to strike a balance between rapid web development and high performance. It has the capacity to handle applications with high levels of user traffic and interaction, and can integrate with massive databases on the backend, constantly collecting and processing data in real time.Through this book, you'll discover that collecting data from different sources and providing it to others in different formats isn't as difficult as you thought. It follows a task-based approach to guide you through all the web development processes using the Django framework. We’ll start by setting up the virtual environment for a Django project and configuring it. Then you’ll learn to write reusable pieces of code for your models and find out how to manage database schema changes using South migrations. After that, we’ll take you through working with forms and views to enter and list data. With practical examples on using templates and JavaScript together, you will discover how to create the best user experience. In the final chapters, you'll be introduced to some programming and debugging tricks and finally, you will be shown how to test and deploy the project to a remote dedicated server.By the end of this book, you will have a good understanding of the new features added to Django 1.8 and be an expert at web development processes.