5.Python程序中P-中值问题的模拟退火。

说明：  机器学习实战（高清 中文版） 作者： Peter 本书通过精心排的实例切入日常工作任务摒弃学术化语言利用高效可复用的Python 代码阐释如何处理统计数据进行数据分析及可视化。读者可从中学到一些核心的机器学习算法并将其运用于某些策略性任务中如分类、预测及推荐等。本书适合机器学习相关研究人员及互联网从业人员学习参考。(Machine learning combat (HD Chinese version) Author: Peter This book cuts into everyday tasks through elaborate examples. Abandoning academic language uses efficient and reusable Python code to illustrate how to process statistics for data analysis and visualization. Readers can learn some core machine learning algorithms and apply them to certain strategic tasks such as classification, prediction, and recommendation. This book is suitable for machine learning related researchers and Internet practitioners to learn reference.)

说明：  包括Hypermesh的使用教程和基本案例，用于有限元的网格划分，尤其是广泛使用的非线性有限元软件Abaqus。(Including Hypermesh tutorials and basic cases, used for finite element meshing, especially the widely used nonlinear finite element software Abaqus.)

利用python的爬虫技术，批量下载某网站内的图片，并保存到指定文件夹。(Use the scrapy to download pictures in a website in batches.)

训练一个深度学习的循环神经网络，可实现获取公开数据集并进行训练，框架为Pytorch(Training a deep learning circular neural network can achieve the acquisition and training of open data sets, and the framework is Pytorch)

《Python机器学习算法》赵志勇-源代码

说明：  基于Tensorflow的典型深度学习模型-深度置信网络预测程序，方便拓展，测试文件在test文件夹下(The typical deep learning model based on tensorflow deep confidence network prediction program is easy to expand, with case data attached, and the test file is in the test folder)

说明：  基于python的opencv学习资料，非常适合入门者学习。(Opencv learning materials based on Python are very suitable for beginners.)

Python库大全及作用说明

说明：  使用ARIMA模型，对潮汐数据进行预测 （上传者：风中的小青年lx）(Prediction of tidal data using ARIMA model)

该代码使用python进行网站上小说的爬取，可以显示出文本，为广大小说爱好者提供一个思路。可以作为使用python爬虫的一个基本入门。