型钢钢结构重量计算软件

H型钢理论重量表新.docx

solidworks的材质库 长期使用，常见材料都有，亲自使用2年以上。

节点 使用Node.js解析STL文件，并获取体积，重量，边界框和质心。 例子 const NodeStl = require ( "node-stl" ) ; var stl = NodeStl ( __dirname + '/myCool.stl' , { density : 1.04 } ) ; console . log ( stl . volume + 'cm^3' ) ; // 21cm^3 console . log ( stl . weight + 'gm' ) ; // 1gm console . log ( stl . boundingBox , '(mm)' ) ; // [60,45,50] (mm) console . log ( stl . area , '(m)' ) ; // 91.26 (m) console

.net对串口通讯的封装，使用进来算是比较方便了。网文也有一些，本文通过C#编写的winform程序与地磅进行对接，实时获取地磅称重数据。串口通讯，其根本还是一种通讯协议，所以根据不同的设备通讯协议也不尽相同，不过规律虽不同，但原理都是一致的。

Python: Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications Python: Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications By 作者: Ashish Kumar – Joseph Babcock ISBN-10 书号: 1788992369 ISBN-13 书号: 9781788992367 Release 出版日期: 2017-12-27 pages 页数: (660 ) $99.99 Python: Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications Gain practical insights by exploiting data in your business to build advanced predictive modeling applications Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form; it needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. Using the Python programming language, analysts can use these sophisticated methods to build scalable analytic applications. This book is your guide to getting started with predictive analytics using Python. You’ll balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and NumPy. Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications. Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates explains how these methods work. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring to life the insights of predictive modeling. Finally, you will learn best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world. The course provides you with highly practical content from the following Packt books: Learning Predictive Analytics with Python Mastering Predictive Analytics with Python What You Will Learn Understand the statistical and mathematical concepts behind predictive analytics algorithms and implement them using Python libraries Get to know various methods for importing, cleaning, sub-setting, merging, joining, concatenating, exploring, grouping, and plotting data with pandas and NumPy Master the use of Python notebooks for exploratory data analysis and rapid prototyping Get to grips with applying regression, classification, clustering, and deep learning algorithms Discover advanced methods to analyze structured and unstructured data Visualize the performance of models and the insights they produce Ensure the robustness of your analytic applications by mastering the best practices of predictive analysis

塔式起重机力矩限制器起重量限制器速度限制器试验表（表格模板、XLS格式）.XLS

利用C++实现最小重量机器设计问题，通过input.txt文件输入数据，最终的结果输出到output.txt文件中，对该过程有较好的理解

C#读取电子秤重量

钢材理论重量计算截面特性查询计算器是一款专业的钢材理论重量计算器，可以用于计算查询各种钢材钢截面特性，支持H型钢、C型钢、Z型钢、工字钢和角钢槽钢、矩形管圆钢及圆管。可以快速计算和打印界面。