Wydawca: K-i-s-publishing
Thomas Mooney
Production of 3D art is an exciting medium, but the task of modeling requires intense attention to detail, so speed and efficiency are vital. This book breaks down speed modeling workflow in 3ds Max into stages you can easily achieve, with a focus on hard surface modeling and methods you can apply to your own designs.3ds Max Speed Modeling for 3D Artists will help level up your 3D modeling skills. It focuses on hard surface modeling, and shows the range of tools and techniques in 3ds Max 2013.This book shows content creation methods aimed at 3ds Max modelers preparing to show their skill to the industry. The key feature of modeling that artists must exhibit is speediness while preserving technical accuracy. The author helps you follow set project guidelines while pushing creativity and outlines the entire workflow from concept development to exporting a game-ready model.The book begins with introductions for new users to the interface and modeling tools, and progresses to topics aimed at users already familiar with 3ds Max, who want to improve their content creation process. You'll also see ways 3ds Max content is used with other applications, like sculpting software and game editors, and learn features of speed modeling, efficient workflow, re-use of content, and tips on getting more done, more quickly.By the end of this book you will have learned key topics in modeling, ready to face professional level work with elan.
Imran Ahmad
Algorithms have always played an important role in both the science and practice of computing. Beyond traditional computing, the ability to use algorithms to solve real-world problems is an important skill that any developer or programmer must have. This book will help you not only to develop the skills to select and use an algorithm to solve real-world problems but also to understand how it works.You’ll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, such as searching and sorting, with the help of practical examples. As you advance to a more complex set of algorithms, you'll learn about linear programming, page ranking, and graphs, and even work with machine learning algorithms, understanding the math and logic behind them. Further on, case studies such as weather prediction, tweet clustering, and movie recommendation engines will show you how to apply these algorithms optimally. Finally, you’ll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks.By the end of this book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.
Imran Ahmad, Somaieh Nikpoor
The ability to use algorithms to solve real-world problems is a must-have skill for any developer or programmer. This book will help you not only to develop the skills to select and use an algorithm to tackle problems in the real world but also to understand how it works.You'll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, with the help of practical examples. As you advance, you'll learn about linear programming, page ranking, and graphs, and will then work with machine learning algorithms to understand the math and logic behind them.Case studies will show you how to apply these algorithms optimally before you focus on deep learning algorithms and learn about different types of deep learning models along with their practical use.You will also learn about modern sequential models and their variants, algorithms, methodologies, and architectures that are used to implement Large Language Models (LLMs) such as ChatGPT.Finally, you'll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks.By the end of this programming book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.
Michael Levan
Kubernetes is a trending topic among engineers, CTOs, CIOs, and other technically sound professionals. Due to its proliferation and importance for all cloud technologies, DevOps engineers nowadays need a solid grasp of key Kubernetes concepts to help their organization thrive.This book equips you with all the requisite information about how Kubernetes works and how to use it for the best results. You’ll learn everything from why cloud native is important to implementing Kubernetes clusters to deploying applications in production. This book takes you on a learning journey, starting from what cloud native is and how to get started with Kubernetes in the cloud, on-premises, and PaaS environments such as OpenShift. Next, you’ll learn about deploying applications in many ways, including Deployment specs, Ingress Specs, and StatefulSet specs. Finally, you’ll be comfortable working with Kubernetes monitoring, observability, and security. Each chapter of 50 Kubernetes Concepts Every DevOps Engineer Should Know is built upon the previous chapter, ensuring that you develop practical skills as you work through the code examples in GitHub, allowing you to follow along while giving you practical knowledge.By the end of this book, you’ll be able to implement Kubernetes in any environment, whether it’s an existing environment, a greenfield environment, or your very own lab running in the cloud or your home.
Mike X Cohen
Through 50 hands-on, guided projects solved in Python, you will investigate the internal mechanisms of large language models by treating their hidden states, attention patterns, and embeddings as data to analyze. Rather than accepting LLMs as black boxes, you will open them up, examine what's inside, and run experiments to understand why they behave the way they do. All projects are based on Python (using libraries such as NumPy, PyTorch, statsmodels, scikit-learn, Matplotlib, Pandas, and Seaborn) and come with full solutions and partial solution notebook files, so you can practice and improve your skills in data science, deep learning, data visualization, and scientific and statistical coding.
Stefan Boeykens, Ruben Van de Walle, Pieter...
A BIM Professional’s Guide to Learning Archicad is a comprehensive introduction to all that Archicad has to offer for creating 3D models, 2D document extracts, and related outputs. This book is not a click-by-click series of recipes, but rather focuses on helping you understand why and how Archicad works by providing realistic examples and expert tips.The book gradually introduces you to Archicad tools using ample examples. It then helps you master its complexity through clear modules, allowing you to start your first project quickly, gain useful skills in subsequent projects, and keep using the book as a source for insights into the software. You’ll start with the basic modeling of construction elements and then move on to adding roofs, stairs, and objects to the project. Next, you’ll dive into basic drafting and 2D views for creating 2D output, and grasp how to use attributes and more advanced modeling tools for designing curtain walls and sites. The concluding chapters will show you how to extract and visualize your data and automate the publishing of your extracts and 2D documents into a variety of output formats.By the end of this book, you’ll have gained a solid understanding of Archicad, how to implement it efficiently in your architectural projects, and how BIM can improve your overall design workflow.
Philip Jones
A Blueprint for Production-Ready Web Applications will help you expand upon your coding knowledge and teach you how to create a complete web application. Unlike other guides that focus solely on a singular technology or process, this book shows you how to combine different technologies and processes as needed to meet industry standards.You’ll begin by learning how to set up your development environment, and use Quart and React to create the backend and frontend, respectively. This book then helps you get to grips with managing and validating accounts, structuring relational tables, and creating forms to manage data. As you progress through the chapters, you’ll gain a comprehensive understanding of web application development by creating a to-do app, which can be used as a base for your future projects. Finally, you’ll find out how to deploy and monitor your application, along with discovering advanced concepts such as managing database migrations and adding multifactor authentication.By the end of this web development book, you’ll be able to apply the lessons and industry best practices that you’ve learned to both your personal and work projects, allowing you to further develop your coding portfolio.
Debra Baker, Ray Rothrock
This book, written by the CEO of TrustedCISO with 30+ years of experience, guides CISOs in fortifying organizational defenses and safeguarding sensitive data. Analyze a ransomware attack on a fictional company, BigCo, and learn fundamental security policies and controls. With its help, you’ll gain actionable skills and insights suitable for various expertise levels, from basic to intermediate. You’ll also explore advanced concepts such as zero-trust, managed detection and response, security baselines, data and asset classification, and the integration of AI and cybersecurity. By the end, you'll be equipped to build, manage, and improve a resilient cybersecurity program, ensuring your organization remains protected against evolving threats.