乘法表

说明：  层次分析法，简称AHP，是指将与决策总是有关的元素分解成目标、准则、方案等层次，在此基础之上进行定性和定量分析的决策方法。(It refers to the decision-making method that divides the elements that are always related to decision-making into objectives, criteria, schemes, etc. on the basis of which qualitative and quantitative analysis can be carried out)

说明：  可直接用于ifc识别，提取信息的安装包。适用于windows系统，python版本为3.7(Identify IFC information)

介绍bch的基础知识，包括纠删码的编码和解码(Introduce the basic knowledge of bch, including the encoding and decoding of erasure codes)

python 神经网络编程，附中英文版本，无付费密码，放心下载(Make Your Own Neural Network)

说明：  结合HanLP提供的针对机构名的HMM语料，实现了基于HMM模型的机构名实体识别算法。(Implementing Code Extraction of Institution Names with HMM)

本书介绍了如何通过Python自动化地完成物理领域方面的研究。全书共分为4个部分，以Python代码为示例向读者介绍了如何用Python解决物理项目中出现的各种问题。(This book describes how to automate research in the field of physics through Python. The book is divided into four parts, with Python code as an example to show readers how to use Python to solve various problems in physical projects.)

regularly remind yourself a break under linux gadget python.

使用pyqt 实现windows下串口通信，包括串口选择配置，数据收发等。当然也可以加入pygraph实现波形显示，可做为上位机程序的参考(Using pyqt to achieve windows serial communication, including serial selection, configuration, data transceiver. Of course, you can also join the pygraph to achieve waveform display, can be used as a reference to the host computer program)

说明：  基于树莓派B+版本的车牌识别设计，辨识部分以树莓派3B+/3B为核心处理器，基于Linux平台，通过python3.5和OpenCV来对含有车牌信息的图片，进行高斯去噪、灰度化、边缘检测、二值化、闭操作、字符分割、字符识别匹配等一系列图像处理操作最终实现车牌识别这个系统。(Based on the design of license plate recognition of raspberry pie B+version, the recognition part takes raspberry pie 3B+/3B as the core processor, and based on Linux platform, uses Python 3.5 and OpenCV to process the image containing license plate information, and carries out a series of image processing operations such as Gaussian denoising, graying, edge detection, binarization, closed operation, character segmentation, character recognition matching, etc. Finally, the system of license plate recognition is realized)

Python的基础资料，适合新手进行学习，附带讲解的PPT资料(Python basic materials, suitable for beginners to learn, with explanation of the PPT materials)