Practical Gpu Graphics With Wgpu Py And Python
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Practical Gpu Graphics With Wgpu Py And Python
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Author : Jack Xu
language : en
Publisher: UniCAD
Release Date : 2022-06-15
Practical Gpu Graphics With Wgpu Py And Python written by Jack Xu and has been published by UniCAD this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-15 with Computers categories.
Wgpu-py is the next-generation Python graphics API and future standard for both native devices and the web, aiming to provide modern 3D graphics and computation capabilities with the GPU acceleration. This book provides all the tools you need to help you create advanced 3D graphics and GPU computing on native devices with this new wgpu-py API. The book starts by taking you through the wgpu-py development environment for building the wgpu-py apps and then shows you the Python and wgpu-py basics, shader programs, GPU buffers, and rendering pipelines. Next, you will learn how to create primitives and simple objects in wgpu-py. As you progress through the chapters, you will get to grips with advanced wgpu-py topics, including 3D transformation, lighting calculation, colormaps, and textures. At the same time, you will learn how to create advanced 3D wgpu-py objects, including various 3D wireframes, 3D shapes, simple and parametric 3D surfaces with colormaps and textures, as well as beautiful fractal images described by complex functions. You will also explore new wgpu features, such as compute shader and storage buffer, and how to use them to simulate large particle systems. In addition, this book will introduce the pygfx render engine that is based on wgpu-py, and show you how to use its built-in primitives to create various 3D objects. You will also learn how to build custom objects and geometries in pygfx. By the end of this book, you will have the skill you need to build your own GPU-accelerated graphics and computing on both native devices and the web with the wgpu-py API.
Practical C Charts And Graphics Second Edition
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Author : Jack Xu
language : en
Publisher: UniCAD
Release Date : 2019-08-10
Practical C Charts And Graphics Second Edition written by Jack Xu and has been published by UniCAD this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-10 with Computers categories.
The book "Practical C# Charts and Graphics (Second Edition) - Advanced Chart and Graphics Programming for Real-World .NET Applications" provides all the tools you need to create professional C# chart and graphics applications for .NET developers. The book "Practical C# Charts and Graphics " is a perfect guide to learning all the basics for creating your advanced chart and graphics applications in C#. The book clearly explains practical chart and graphics methods and their underlying algorithms. The book contains: - Overview of GDI+ graphics capabilities and mathematical basics of computer charting and graphics - Step-by-step procedures to create a variety of 2D and 3D charts and graphics with complete ready-to-run C# code for each application. - Powerful 2D and 3D chart packages and user controls that can be directly used in your C# applications or can be easily modified to create your own sophisticated chart and graphics packages. - Detailed procedures to embed JavaScript charting library into your WIndows Forms applications. - Introductions to embed Gincker Graphics into your C# applications and demonstration how to use Gincker Graphics to create a variety charts and graphics without the need to write a single line of code.
Practical Wpf Charts And Graphics
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Author : Jack Xu
language : en
Publisher: Apress
Release Date : 2010-08-11
Practical Wpf Charts And Graphics written by Jack Xu and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-11 with Computers categories.
Creating 2D and 3D charts is one of the most common uses of computer graphics. Such charts can have wide applications in representing mathematical, physical, and economic functions in your daily life. Whether you are an engineer, a quantitative analyst, a teacher, or a student, you will end up dealing with charting applications to some degree. Windows Presentation Foundation (WPF) is a next-generation graphics platform that enables you to build advanced user interfaces incorporating documents, media, 2D and 3D graphics, and animations. It is an ideal development tool that allows you to not only generate data, but also easily represent data graphically. Practical WPF Charts and Graphics provides all the tools you will need to develop professional chart and graphics applications in WPF and C#. This book will be useful for WPF and C# programmers of all skill levels, providing a complete and comprehensive explanation of WPF's graphics capability and the creation of various charts, and paying special attention to the details of code implementation.
Practical Quantitative Finance With Asp Net Core And Angular
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Author : Jack Xu
language : en
Publisher: UniCAD
Release Date : 2019-03
Practical Quantitative Finance With Asp Net Core And Angular written by Jack Xu and has been published by UniCAD this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03 with Business & Economics categories.
This book provides comprehensive details of developing ultra-modern, responsive single-page applications (SPA) for quantitative finance using ASP.NET Core and Angular. It pays special attention to create distributed web SPA applications and reusable libraries that can be directly used to solve real-world problems in quantitative finance. The book contains: Overview of ASP.NET Core and Angular, which is necessary to create SPA for quantitative finance. Step-by-step approaches to create a variety of Angular compatible real-time stock charts and technical indicators using ECharts and TA-Lib. Introduction to access market data from online data sources using .NET Web API and Angular service, including EOD, intraday, real-time stock quotes, interest rates. Detailed procedures to price equity options and fixed-income instruments using QuantLib, including European/American/Barrier/Bermudan options, bonds, CDS, as well as related topics such as cash flows, term structures, yield curves, discount factors, and zero-coupon bonds. Detailed explanation to linear analysis and machine learning in finance, which covers linear regression, PCA, KNN, SVM, and neural networks. In-depth descriptions of trading strategy development and back-testing for crossover and z-score based trading signals.
Practical C And Wpf For Financial Markets
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Author : Jack Xu
language : en
Publisher: UniCAD
Release Date : 2016-12-05
Practical C And Wpf For Financial Markets written by Jack Xu and has been published by UniCAD this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-05 with Business & Economics categories.
Practical C# and WPF for Financial Markets provides a complete explanation of .NET programming in quantitative finance. It demonstrates how to implement quant models and back-test trading strategies. It pays special attention to creating business applications and reusable C# libraries that can be directly used to solve real-world problems in quantitative finance. The book contains: • Overview of C#, WPF programming, data binding, and MVVM pattern, which is necessary to create MVVM compatible .NET financial applications. • Step-by-step approaches to create a variety of MVVM compatible 2D/3D charts, stock charts, and technical indicators using my own chart package and Microsoft chart control. • Introduction to free market data retrieval from online data sources using .NET interfaces. These data include EOD, real-time intraday, interest rate, foreign exchange rate, and option chain data. • Detailed procedures to price equity options and fixed-income instruments, including European/American/Barrier options, bonds, and CDS, as well as discussions on related topics such as cash flows, term structures, yield curves, discount factors, and zero-coupon bonds. • Introduction to linear analysis, time series analysis, and machine learning in finance, which covers linear regression, PCA, SVM, and neural networks. • In-depth descriptions of trading strategy development and back-testing, including strategies for single stock trading, stock pairs trading, and trading for multi-asset portfolios.
Practical Numerical Methods With C
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Author : Jack Xu
language : en
Publisher: Unicad
Release Date : 2008
Practical Numerical Methods With C written by Jack Xu and has been published by Unicad this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
This book presents an in-depth exposition of the various numerical methods used in real-world scientific and engineering computations. It emphasizes the practical aspects of C# numerical methods and mathematical functions programming, and discusses various techniques in details to enable you to implement these numerical methods in your .NET application. Ideal for scientists, engineers, and students who would like to become more adept at numerical methods, Practical Numerical Methods with C# familiarizes you with: - Overview of C# programming. - The mathematical background and fundamentals of numerical methods. - Math libraries for complex numbers and functions, real and complex vector and matrix operations, and special functions. - Numerical methods for generating random numbers and random distribution functions. - Various numerical methods for solving linear and nonlinear equations. - Numerical differentiation and integration. - Interpolations and curve fitting. - Optimization of single-variable and multi-variable functions with a variety of techniques, including advanced simulated annealing and evolutionary algorithms. - Numerical techniques for solving ordinary differential equations. - Numerical methods for solving boundary value problems. - Eigenvalue problems. In addition, this book provides testing examples for every math function and numerical method to show you how to use these functions and methods in your own .NET applications in a manageable and step-by-step fashion. Please visit the author's website for more information about this book at www.drxudotnet.com
Deep Learning With Pytorch
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Author : Luca Pietro Giovanni Antiga
language : en
Publisher: Simon and Schuster
Release Date : 2020-07-01
Deep Learning With Pytorch written by Luca Pietro Giovanni Antiga and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-01 with Computers categories.
“We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail. I hope this book becomes your extended reference document.” —Soumith Chintala, co-creator of PyTorch Key Features Written by PyTorch’s creator and key contributors Develop deep learning models in a familiar Pythonic way Use PyTorch to build an image classifier for cancer detection Diagnose problems with your neural network and improve training with data augmentation Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands. Instantly familiar to anyone who knows Python data tools like NumPy and Scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It’s great for building quick models, and it scales smoothly from laptop to enterprise. Deep Learning with PyTorch teaches you to create deep learning and neural network systems with PyTorch. This practical book gets you to work right away building a tumor image classifier from scratch. After covering the basics, you’ll learn best practices for the entire deep learning pipeline, tackling advanced projects as your PyTorch skills become more sophisticated. All code samples are easy to explore in downloadable Jupyter notebooks. What You Will Learn Understanding deep learning data structures such as tensors and neural networks Best practices for the PyTorch Tensor API, loading data in Python, and visualizing results Implementing modules and loss functions Utilizing pretrained models from PyTorch Hub Methods for training networks with limited inputs Sifting through unreliable results to diagnose and fix problems in your neural network Improve your results with augmented data, better model architecture, and fine tuning This Book Is Written For For Python programmers with an interest in machine learning. No experience with PyTorch or other deep learning frameworks is required. About The Authors Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch. Thomas Viehmann is a Machine Learning and PyTorch speciality trainer and consultant based in Munich, Germany and a PyTorch core developer. Table of Contents PART 1 - CORE PYTORCH 1 Introducing deep learning and the PyTorch Library 2 Pretrained networks 3 It starts with a tensor 4 Real-world data representation using tensors 5 The mechanics of learning 6 Using a neural network to fit the data 7 Telling birds from airplanes: Learning from images 8 Using convolutions to generalize PART 2 - LEARNING FROM IMAGES IN THE REAL WORLD: EARLY DETECTION OF LUNG CANCER 9 Using PyTorch to fight cancer 10 Combining data sources into a unified dataset 11 Training a classification model to detect suspected tumors 12 Improving training with metrics and augmentation 13 Using segmentation to find suspected nodules 14 End-to-end nodule analysis, and where to go next PART 3 - DEPLOYMENT 15 Deploying to production
Practical Net Chart Development And Applications
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Author : Jack Xu
language : en
Publisher: Unicad
Release Date : 2016-07-15
Practical Net Chart Development And Applications written by Jack Xu and has been published by Unicad this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-15 with Computers categories.
The book "Practical .NET Chart Development and Applications - Advanced Chart Programming for Real-World .NET 4.5 Applications Using C#, WPF, and MVVM" provides all the tools you need to create professional charts and graphics. It is a perfect guide to learning all the basics for creating advanced chart applications using C#, WPF, and MVVM pattern. The book clearly explains practical chart methods and their underlying algorithms. The book contains: a) Overview of WPF graphics capabilities, data binding, and MVVM pattern, which is necessary to create MVVM compatible .NET chart applications. b) Introduction to SQL server, LINQ, ADO.NET Entity Framework, and database development, which will be used to prepare input data for chart applications. c) Step-by-step procedures to create a variety of 2D and 3D charts with complete ready-to-run C# and WPF code for each application. d) Powerful 2D and 3D chart packages and chart controls that can be directly used in your .NET applications with complete support for data binding and MVVM pattern. e) Incorporate real-world examples in financial market, such as storing market data in database, stock charts, linear regression, and PCA. f) Demonstrate how to create real-time 2D-line and stock chart applications using reusable chart controls.
Prac Quantitative Finance W R
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Author : Jack Xu
language : en
Publisher: Unicad
Release Date : 2016-08-12
Prac Quantitative Finance W R written by Jack Xu and has been published by Unicad this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-12 with Business & Economics categories.
The book provides a complete explanation of R programming in quantitative finance. It demonstrates how to prototype quant models and backtest trading strategies. It pays special attention to creating business applications and reusable R libraries that can be directly used to solve real-world problems in quantitative finance.
Computer Graphics Programming In Opengl With C
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Author : V. Scott Gordon
language : en
Publisher: Mercury Learning and Information
Release Date : 2020-12-09
Computer Graphics Programming In Opengl With C written by V. Scott Gordon and has been published by Mercury Learning and Information this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-09 with Computers categories.
This new edition provides step-by-step instruction on modern 3D graphics shader programming in OpenGL with C++, along with its theoretical foundations. It is appropriate both for computer science graphics courses and for professionals interested in mastering 3D graphics skills. It has been designed in a 4-color, “teach-yourself” format with numerous examples that the reader can run just as presented. Every shader stage is explored, from the basics of modeling, textures, lighting, shadows, etc., through advanced techniques such as tessellation, normal mapping, noise maps, as well as new chapters on simulating water, stereoscopy, and ray tracing. FEATURES: Covers modern OpenGL 4.0+ shader programming in C++, with instructions for both PC/Windows and Macintosh Adds new chapters on simulating water, stereoscopy, and ray tracing Includes companion files with code, object models, figures, and more (also available for downloading by writing to the publisher) Illustrates every technique with running code examples. Everything needed to install the libraries, and complete source code for each example Includes step-by-step instruction for using each GLSL programmable pipeline stage (vertex, tessellation, geometry, and fragment) Explores practical examples for modeling, lighting, and shadows (including soft shadows), terrain, water, and 3D materials such as wood and marble Explains how to optimize code for tools such as Nvidia’s Nsight debugger. The companion files and instructor resources are available online by emailing the publisher with proof of purchase at [email protected].