zxchqh的博客

介绍了使用python 和pyqt 的GUI编程。 This book teaches how to write GUI applications using the Python programming language and the Qt application development framework. The only prior knowledge assumed is that you can program in some object-oriented programming language, such as C++, C#, Java, or of course Python itself. A slight familiarity with HTML is also assumed, and some knowledge of regular expresssions would be beneficial. A knowledge of GUI programming is not required since all the key concepts are covered. The book will be useful to people who program professionally as part of their job, whether as full-time software developers, or those from other disciplines who need to do some programming in support of their work. It is also suitable for undergraduate and postgraduate students, particularly those doing courses or research that includes a substantial computing element. The exercises (with solutions) are provided especially to help students.

非常棒的系列。 本系列将如何显示， 如何符号运算已经数值运算。 CSDN 中有一个类似的文档，但是需要12 积分

TLS is a cryptographic protocol designed to provide secure communication over an insecure infrastructure. This means that, if this protocol is properly deployed, you can open a communication channel to an arbitrary service on the internet and be reasonably sure that you’re talking to the correct server, and exchange information safely knowing that your data won’t fall into the wrong hands and that it will be received intact.

WIFI 模块的网络安全技术， 是理解IOT 的不错的文档。The world we live in is a connected world. Today we rely on our phones, computers and soon IoT devices to communicate, buy goods, travel and work. It is expected that connected devices or IoT devices, increase exponentially in the near future. The fact is that there are more phones than people today. The number of smart phones is measure by the billions and is increasing in a fast pace.

　图形处理器(GPU ) 的处理速度在最近几年得 到了快速的发展, 其计算能力以每年2. 8 倍的速度 增长, 高于CPU 的发展速度. 如目前GTX280 GPU 的峰值浮点运算能力已经超过1T F lop s, 而因特尔4 核CPU Clow lown 的单精度浮点最高运算能力为 84G F lop s. 出现该现象的主要原因在于CPU 的微 构架要兼顾数值运算指令和控制指令, 而GPU 的微 构架是面向图形类高度并行计算而设计的, 因此, GPU 在并行数值处理能力上要远高于CPU. 为了合 理地利用GPU 通用计算的资源, 统一计算设备架构 (CUDA ) 应运而生[1 ]. CUDA 是一种由NV ID IA 推 出的通用并行计算架构, 该架构使GPU 能够解决复 杂的计算问题. 它包含了CUDA 指令集架构( ISA) 以及GPU 内部的并行计算引擎. 它将GPU 的可编 程顶点渲染器和片元渲染器集成起来, 组成统一的 SPMD (a Single P rogram Mu lip le Da ta) 计算设备, 并且提供内部共享内存以减少访问外部DRAM 的 次数, 从而大大提高了可编程性.

介绍LINUX 下PCI的接口驱动编程 Linux PCI−HOWTO by Michael Will, [email protected]−tuebingen.de

IAR 的 ARM C 程序调试. 里面介绍了compiler, linker 的使用方法

于博士的ORCAD 使用说明教程。 来源于于博士网

Linux PCI驱动牛人写的论文，有一定参考价值

verilog 入门资料 Deepak Kumar Tala 编写