chris conlan (12 Ergebnisse)

Taschenbuch. Zustand: Neu. Neuware.

Zustand: New. In.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Neuware.

Zustand: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Zustand: New. In.

Zustand: very good. PMJ Self Gallery, One Artist - One Day, PMJ Self Gallery, London, c.1975. 420 x 296mm, printed black on white stock. Poster listing the schedule of Artists' and their performances and films featured in the 'One Artist - One Day' exhibition at PMJ Self Gallery from September 16th to October 3rd c.1975 in Covent Garden. The exhibition featured films from Chris Welsby and Gavin Bennett, and work from Kevin Atherton. Condition: folded twice for mailing, some bruising top left corner and handling marks, overall very good.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Neuware -Learn to trade algorithmically with your existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. Connect to your brokerage¿s API, and the source code is plug-and-play.Automated Trading with R explains automated trading, starting with its mathematics and moving to its computation and execution. You will gain a unique insight into the mechanics and computational considerations taken in building a back-tester, strategy optimizer, and fully functional trading platform.The platform built in this book can serve as a complete replacement for commercially available platforms used by retail traders and small funds. Software components are strictly decoupled and easily scalable, providing opportunity to substitute any data source, trading algorithm, or brokerage. This book will:Provide a flexible alternative to common strategy automation frameworks, like Tradestation, Metatrader, and CQG, to small funds and retail tradersOffer an understanding of the internal mechanisms of an automated trading systemStandardize discussion and notation of real-world strategy optimization problemsWhat You Will LearnUnderstand machine-learning criteria for statistical validity in the context of time-seriesOptimize strategies, generate real-time trading decisions, and minimize computation time while programming an automated strategy in R and using its package libraryBest simulate strategy performance in its specific use case to derive accurate performance estimatesUnderstand critical real-world variables pertaining to portfolio management and performance assessment, including latency, drawdowns, varying trade size, portfolio growth, and penalization of unused capitalWho This Book Is ForTraders/practitioners at the retail or small fund level with at least an undergraduate background in finance or computer science; graduate level finance or data science studentsAPress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 236 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -Understand Blender's Python API to allow for precision 3D modeling and add-on development. Follow detailed guidance on how to create precise geometries, complex texture mappings, optimized renderings, and much more.This book is a detailed, user-friendly guide to understanding and using Blender¿s Python API for programmers and 3D artists. Blender is a popular open source 3D modeling software used in advertising, animation, data visualization, physics simulation, photorealistic rendering, and more. Programmers can produce extremely complex and precise models that would be impossible to replicate by hand, while artists enjoy numerous new community-built add-ons.The Blender Python API is an unparalleled programmable visualization environment. Using the API is made difficult due to its complex object hierarchy and vast documentation. Understanding the Blender Python API clearly explains the interface. You will become familiar with data structures and low-level concepts in both modeling and rendering with special attention given to optimizing procedurally generated models. In addition, the book:Discusses modules of the API as analogs to human input modes in BlenderReviews low-level and data-level manipulation of 3D objects in Blender PythonDetails how to deploy and extend projects with external librariesProvides organized utilities of novel and mature API abstractions for general use in add-on developmentWhat Yoüll LearnGenerate 3D data visualizations in Blender to better understand multivariate data and mathematical patterns.Create precision object models in Blender of architectural models, procedurally generated landscapes, atomic models, etc.Develop and distribute a Blender add-on, with special consideration given to careful development practicesPick apart Blender¿s 3D viewport and Python source code to learn about API behaviorsDevelop a practical knowledge of 3D modeling and rendering conceptsHave a practical reference to an already powerful and vast APIWho This Book Is ForPython programmers with an interest in data science, game development, procedural generation, and open-source programming as well as programmers of all types with a need to generate precise 3D models. Also for 3D artists with an interest in programming or with programming experience and Blender artists regardless of programming experience.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 160 pp. Englisch.