编程软件9.7升级包(文件比较大,无法直接上传,下载后有个下载链接。需要到百度网盘下载) 电脑上需要先安装9.7以下的。然后再下载这个。解压后安装, 升级时候,只打钩CX-Programmer ,就是升级这个PLC编程软件 升级后就是9.7了。原来的低版本不要卸载
2021-03-14 11:00:39 342B 欧姆龙PLC9.7版本编程软件
CX-Programmer 9.4 编程软件 CX-Programmer 9.5 编程软件
2021-03-14 11:00:39 360B 欧姆龙PLC编程软件
OCA Java SE 8 Programmer I Stud - Edward Finegan 供大家参考
2021-01-28 02:40:35 37.22MB oca java
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OCA Oracle Certified Associate Java SE 8 Programmer I Study Guide
2021-01-28 02:40:16 2.44MB oca 1Z0-809
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WTL For MFC Programmer(中文版).pdf
2020-12-31 10:07:50 2.01MB WTL For MFC Programmer.pdf
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SmartRF_Flash_Programmer安装包,供移动开发,蓝牙BLE开发,在初期做串口调试时使用。亲测有用。 具体实现方式见CSDN文档:;个人微信18551065053
2020-12-12 00:31:25 18.28MB 蓝牙开发 Android BLE SmartRFFlashProg
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GD32的最新下载器,版本最新的。有需要的的可以看看,
2020-11-18 20:34:34 1.26MB GD32
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CX-programmer使用指南(中文)
2020-03-28 03:13:03 4.83MB 使用指南
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OCP Java SE 8 Programmer II Exam Guide (Exam 1Z0-809) By 作者: Kathy Sierra – Bert Bates – Elisabeth Robson ISBN-10 书号: 1260117383 ISBN-13 书号: 9781260117387 Edition 版本: 7 出版日期: 2018-05-14 pages 页数: 1487 A Complete, Integrated Study System for OCP Exam 1Z0-809 Study for the OCP Java SE 8 Programmer II exam using this effective exam preparation guide from Oracle Press. Written by a team of experts, including two developers of the original exam, OCP Java SE 8 Programmer II Exam Guide (Exam 1Z0-809) offers comprehensive coverage of every subject on the test and lays out essential Java programming skills. Throughout, step-by-step exercises; self-tests; and тАЬExam Watch,тАЭ тАЬInside the Exam,тАЭ and тАЬOn the JobтАЭ sections highlight salient points and aid in learning. In all, the book and accompanying digital content feature more than 350 practice questions that mirror those on the live test in tone, format, and content. Clearly explains every topic on Exam 1Z0-809, including: Declarations, access control, and enums Object orientation Assertions and exceptions Dates, times, locales, and resource bundles I/O and NIO Generics and collections Inner classes Lambda expressions and functional interfaces Streams Threads Concurrency
2020-01-03 11:40:44 117.24MB Java
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This book covers construction, exploration, analysis, and visualization of complex networks using NetworkX (a Python library), as well as several other Python modules, and Gephi, an interactive environment for network analysts. The book is not an introduction to Python. I assume that you already know the language, at least at the level of a freshman programming course. The book consists of five parts, each covering specific aspects of complex networks. Each part comes with one or more detailed case studies. Part I presents an overview of the main Python CNA modules: NetworkX, iGraph, graph-tool, and networkit. It then goes over the construction of very simple networks both programmatically (using NetworkX) and interactively (in Gephi), and it concludes by presenting a network of Wikipedia pages related to complex networks. In Part II, you’ll look into networks based on explicit relationships (such as social networks and communication networks). This part addresses advanced network construction and measurement techniques. The capstone case study—a network of “Panama papers”—illustrates possible money-laundering patterns in Central Asia. Networks based on spatial and temporal co-occurrences—such as semantic and product networks—are the subject of Part III. The third part also explores macroscopic and mesoscopic complex network structure. It paves the way to network-based cultural domain analysis and a marketing study of Sephora cosmetic products. If you cannot find any direct or indirect relationships between the items, but still would like to build a network of them, the contents of Part IV come to the rescue. You will learn how to find out if items are similar, and you will convert quantitative similarities into network edges. A network of psychological trauma types is one of the outcomes of the fourth part. The book concludes with Part V: directed networks with plenty of examples, including a network of qualitative adjectives that you could use in computer games or
2019-12-21 21:54:29 6.98MB Python Network Analysis
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