Docklight Scripting is an extended edition of Docklight RS232 Terminal / RS232 Monitor. It features an easy-to-use scripting language, plus a built-in editor to create and run automated test jobs. A Docklight script allows you to execute all basic Docklight operations (sending predefined data sequences, detecting specific sequences within the incoming data stream, ...) and embed them in your own test code. Docklight Scripting is also network-enabled. Instead of using a serial COM port, Docklight Scripting can establish TCP connections (TCP client mode), accept a TCP connection on a local port (TCP server mode), or act as a UDP peer. Docklight Scripting gives you both flexibility and simplicity. Within minutes you can build your own automated testing tools and create: · time-controlled test jobs (e.g. sending a diagnostics command every 5 minutes and reporting an error, if the device response is not ok) · repeated test cycles (e.g. endurance testing for a motion control / drive system) · automatic device configuration scripts (e.g. resetting a RS232 device to factory defaults before delivery) · fault analysis tools for service and maintenance tasks (e.g. running a set of diagnostics commands and performing automatic fault analysis) · protocol testers with automatic checksum calculations (e.g. CRC - Cyclic Redundancy Codes) · Docklight startup scripts (e.g. automatically starting a COM port logging task at PC startup) Docklight Scripting uses the VBScript engine, allowing you to write your tests in a simple, well-known scripting language. Docklight's basic functions and features are made available through a small and convenient set of Docklight script commands.

学习UE4 c++开发很有帮助的电子书学习UE4 c++开发很有帮助的电子书学习UE4 c++开发很有帮助的电子书学习UE4 c++开发很有帮助的电子书学习UE4 c++开发很有帮助的电子书学习UE4 c++开发很有帮助的电子书

用c++进行虚幻4开发，国外搞过来的，彩色高清，非常适合学习使用。

Unreal Engine 4.x Scripting with C++ Cookbook 2nd version _John_P._Doran pdf

Part I contains introductory concepts. Chapter 1 provides the motivation of the book, some philosophical foundations of the art of modelling physical systems and defines the general mathematical model used for describing the behavior of power systems. Chapter 2 introduces the structure and the features of a software package for power system analysis while Chapter 3 discusses on the concept of scripting applied to power system analysis. The latter chapter also attempts to provide general guidelines for thinking power systems analysis in terms of computer programming. I hope that the results can be useful for Ph.D. students that, at the very end, will be the only readers of this book that have time to implement their own software applications.

Open Source Security Tool Turbo Talks • Nmap Scripting Engine • IPv6 • Zenmap GUI • Nmap Suite • Final Notes & Q&A

HFSS-Matlab-API是用Matlab生成可供HFSS调用的脚本语言的应用程序接口*.m文件源代码包。HFSS-Matlab-API是一个开源代码API，要求在原有代码基础上进行修改时，不要改动文件里的版权信息，或者由原作者添加你的贡献信息。

python_scripting

Windows-7-and-Vista-Guide-to-Scripting,Automation and Command Line Tools主要用于学习win7 shell

Python Scripting for ArcGIS is a guide for experienced users of ArcGIS Desktop to get started with Python scripting without needing previous programming experience. Experience with other scripting or programming languages (Perl, VBA, VB script, Java, C++) is helpful but not required. Readers are expected to have good general ArcGIS skills and a basic understanding of geoprocessing procedures. There are 14 chapters with corresponding online data and exercises available on the Esri Press book resource page at esripress.esri.com/bookresources. Table of Contents Part 1: Learning the fundamentals of Python and geoprocessing Chapter 1: Introducing Python 3 Chapter 2: Geoprocessing in ArcGIS Chapter 3: Using the Python window Chapter 4: Learning Python language fundamentals Part 2: Writing scripts Chapter 5: Geoprocessing using Python Chapter 6: Exploring spatial data Chapter 7: Manipulating spatial data Chapter 8: Working with geometries Chapter 9: Working with rasters Part 3: Carrying out specialized tasks Chapter 10: Map scripting Chapter 11: Debugging and error handling Chapter 12: Creating Python functions and classes Part 4: Creating and using script tools Chapter 13: Creating custom tools Chapter 14: Sharing tools Appendix A Data source credits