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Fundamental solutions for linear isotropic displacements and strains

说明：  循环神经网络学习流量预测lstm适用于初学者学习使用(Recurrent neural network learning traffic forecast)

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)

cctv7科技苑爬虫项目，insert-mysql(CCTV7 reptile project, insert-mysql)

说明：  多标签学习算法的相关资料学习，包含数据集和代码(the multi-label knn algorithm ,can use the code in python)

Python module for interacting with an SCM system (like SVN or Git).

python standard library 中文版，非常有用(Chinese version of python standard library is very useful)

dgango框架搭建的配置文件参考，源于edX开源项目代码(dgango profile reference frame structures, from edX open source project code)

说明：  利用机器学习中的的线性回归模型，完成对房价的预估(Using the linear regression model in machine learning to complete the prediction of house price)

图书的增删改查，python2.7环境 【调试说明】 0. 安装缺失的包  pip2 install django pip2 instatll pymysql 1. 手动创建mysql数据库 day59_3，并修改settings.py中的 DATABASES 节点 为你本机数据库信息 2. 初始化数据库表结构，执行 D:idePython27>python "D:StudyProjectsPythonProjectday59 图书管理系统manage.py" migrate  3. 运行程序如下： D:idePython27>python "D:StudyProjectsPythonProjectday59manage.py" runserver 4. 访问网址 http://localhost:8000 即可看到如下截图