About Python in 3ds Max 3ds Max supports the development of Python-based tools and extensions so it can be customized and integrated into modern digital content creation pipelines. To enable this, 3ds Max integrates both the Python 2.7 and 3.7 interpreters, and exposes Python's rich functionality through two APIs, pymxs and MaxPlus. In addition, user interfaces for these Python-based tools can be created using the included PySide2 framework. Python 3 3ds Max includes a standard version of Python 3.7, located under [3ds Max Install]\Python37. You can use standard, pre-compiled extension libraries with this version of Python. This is now the default version for 3ds Max. Note: MaxPlus is not supported under Python 3. Python 2 3ds Max includes a customized Python 2.7.15 interpretor and environment (3dsmaxpy.exe ). The Python modules are located in [3ds Max Install]\python\lib\site-packages. They were compiled with Visual Studio 2017, to be binary compatible with 3ds Max. CPython libraries must also be built with the same compiler to be compatible with the Python environment. Note: extension libraries should be installed outside of the 3ds Max install location.

MAXScript Introduction Welcome to the MAXScript Reference! MAXScript is the built-in scripting language for Autodesk ® 3ds Max ® . For fast access to some often used topics, please follow the link below: If you have used MAXScript in previous versions of the software, the following topic will give you an overview of the changes and additions to the MAXScript language in 3ds Max 2020: What is New in MAXScript in 3ds Max 2020 The following index page provides links to all topics dealing with changes to MAXScript in previous versions: What Was New in MAXScript If you are new to MAXScript, the following topics will provide information about the structure of this document and the concepts of the MAXScript scripting language. See What is MAXScript? for a short overview of the areas MAXScript can enhance your workflow and productivity. See MAXScript Overview for a more detailed introduction to the possibilities of MAXScript.

The Software Principles of Design for Data Modeling, written by Debabrata Samanta of Rochester Institute of Technology in Kosovo, offers a practical and comprehensive solution to the challenges of designing effective software architecture for data modeling. This book covers key topics such as gathering requirements, modeling requirements with use cases, testing the system, building entity-relationship models, building class models in UML with patterns of data modeling and software quality attributes, and use case modeling. It also includes case studies of relational and object-relational database schema design. The unique approach of this book lies in its unifying method for designing software architecture for data modeling. It addresses specific design issues for various types of software systems, including object-oriented, client/server, service-oriented, component-based, real-time, and software product line architectures. With its practical guidance, standard method for modeling requirements and analysis, and comprehensive coverage of key topics and case studies, this book is a must-read for anyone interested in designing effective software architecture for data modeling, whether you are an academic scholar or a professional in the field.

This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Modelling and Simulation for Autonomous Systems, MESAS 2020, held in Prague, Czech Republic, in October 2020.* The 19 full papers included in the volume were carefully reviewed and selected from 26 submissions. They are organized in the following topical sections: future challenges of advanced M&S technology; M&S of intelligent systems – R&D and application; and AxS/AI in context of future warfare and security environment. *The conference was held virtually.

PREVIOUS EDITIONThis textbook introduces the “Fundamentals of Multimedia”, addressing real issues commonly faced in the workplace. The essential concepts are explained in a practical way to enable students to apply their existing skills to address problems in multimedia. Fully revised and updated, this new edition now includes coverage of such topics as 3D TV, social networks, high-efficiency video compression and conferencing, wireless and mobile networks, and their attendant technologies. Features: presents an overview of the key concepts in multimedia, including color science; reviews lossless and lossy compression methods for image, video and audio data; examines the demands placed by multimedia communications on wired and wireless networks; discusses the impact of social media and cloud computing on information sharing and on multimedia content search and retrieval; includes study exercises at the end of each chapter; provides supplementary resources for both students and instructors at an associated website.

Advanced Guide to Python 3 Programming 2nd Edition delves deeply into a host of subjects that you need to understand if you are to develop sophisticated real-world programs. Each topic is preceded by an introduction followed by more advanced topics, along with numerous examples, that take you to an advanced level. This second edition has been significantly updated with two new sections on advanced Python language concepts and data analytics and machine learning. The GUI chapters have been rewritten to use the Tkinter UI library and a chapter on performance monitoring and profiling has been added. In total there are 18 new chapters, and all remaining chapters have been updated for the latest version of Python as well as for any of the libraries they use. There are eleven sections within the book covering Python Language Concepts, Computer Graphics (including GUIs), Games, Testing, File Input and Output, Databases Access, Logging, Concurrency and Parallelism, Reactive Programming, Networking and Data Analytics. Each section is self-contained and can either be read on its own or as part of the book as a whole. It is aimed at those who have learnt the basics of the Python 3 language but wish to delve deeper into Python’s eco system of additional libraries and modules.

Get more out of your legacy systems: more performance, functionality, reliability, and manageability Is your code easy to change? Can you get nearly instantaneous feedback when you do change it? Do you understand it? If the answer to any of these questions is no, you have legacy code, and it is draining time and money away from your development efforts. In this book, Michael Feathers offers start-to-finish strategies for working more effectively with large, untested legacy code bases. This book draws on material Michael created for his renowned Object Mentor seminars: techniques Michael has used in mentoring to help hundreds of developers, technical managers, and testers bring their legacy systems under control. The topics covered include Understanding the mechanics of software change: adding features, fixing bugs, improving design, optimizing performance Getting legacy code into a test harness Writing tests that protect you against introducing new problems Techniques that can be used with any language or platform—with examples in Java, C++, C, and C# Accurately identifying where code changes need to be made Coping with legacy systems that aren't object-oriented Handling applications that don't seem to have any structure This book also includes a catalog of twenty-four dependency-breaking techniques that help you work with program elements in isolation and make safer changes.