python案例

说明：  自动抢购京东抢购商品，如抢显卡、手机。登录后，复制商品ID，修改到配置文件后，到时间自动抢购(Automatic rush to buy Jingdong rush to buy goods, such as graphics card and mobile phone)

machine learning 方面有关于Classification fundamentals的资料，语言是python(Classification fundamentals aspects of machine learning have information about language is python)

nao机器人软银杯比赛代码，希望对大家有所帮助。(Nao Robot Soft Silver Cup Competition Code)

基于原型的目标函数聚类方法，数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则(A prototype based objective function clustering method, the data point to a certain distance from the prototype is used as the objective function of the optimization, and the adjustment rule of the iterative operation is obtained by the method of finding the extremum of the function.)

流畅的python，mobi+pdf两种格式(fluent python.mobi+pdf two formats)

说明：  实现了基于BiLSTM-CRF的主动学习算法(An active learning algorithm based on bilstm-crf is implemented)

# Pyramidal Person Re-IDentification A simple reproduction of Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training (CVPR2019). [[PDF]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Zheng_Pyramidal_Person_Re-IDentification_via_Multi-Loss_Dynamic_Training_CVPR_2019_paper.pdf) ### I hope that this reproduction can help your research or work.

一本python数据分析的优秀资料 《python数据分析》(python data analysis)，作者【印尼】Ivan Idris，翻译：韩波。 本人制作的PDF图书，带目录和书签。 作为一种高级程序设计语言，Python凭借其简洁、易读及可扩展性日渐成为程序设计领域备受推崇的语言。同时，Python语言的数据分析功能也逐渐为大众所认可。, 本书是一本介绍如何用Python进行数据分析的学习指南。全书共12章，从Python程序库入门、NumPy数组、matplotlib和pandas开始，陆续介绍了数据加工、数据处理和数据可视化等内容。同时，本书还介绍了信号处理、数据库、文本分析、机器学习、互操作性和性能优化等高级主题。在本书的结尾，还采用3个附录的形式为读者补充了一些重要概念、常用函数以及在线资源等重要内容。, 本书示例丰富、简单易懂，非常适合对Python语言感兴趣或者想要使用Python语言进行数据分析的读者参考阅读。(python data analysis)

利用Python实现特征的MinMax标准化和Z-Score标准化两种特征归一化方法。并用原特征、两种归一化特征分别进行模型训练，比较模型性能。(Two normalization methods of MinMax normalization and Z-Score standardization are implemented by Python. The model is trained by the original feature and two normalization features respectively, and the performance of the model is compared.)

python学习工具书，基础教程，零基础学python(a textbook of python)