简单的简书爬虫

通过各种不同的算法实现室内高精度定位，比如说KNN，随机森林，SVM，等等。(Indoor high-precision positioning is achieved by various algorithms, such as KNN, random forest, SVM, and so on.)

Introduction to Programming Concepts with Case Studies in Python. – Introduction to Programming – Introduction to Programming Constructs – Introduction to Computer Science – Introduction to Computer Engineering

说明：  本书从最基础的知识开始,讲解Web开发的整个流程,展示如何使用Python做测试驱动开发。(This book starts with the most basic knowledge, explains the whole process of web development, and shows how to use Python to do test driven development.)

说明：  使用鸢尾花数据集，预测鸢尾花种类。并随机选取100个样本作为训练数据，剩下50个作为测试数据。设置输入层四个神经元，接收输入的四个向量数据。设置一层隐含层，使用sigmoi激活函数，此问题为三分类问题，输出层激活函数使用sigmoi函数，神经元个数设置为3个，本类别输出1，其余类别输出0。(Iris, using data sets to predict Iris species. 100 samples were randomly selected as training data, and the remaining 50 samples were used as test data. Four neurons in the input layer are set to receive the four vector data. Set a hidden layer and use the sigmoi activation function. This problem is a three classification problem. The output layer activation function uses the sigmoi function. The number of neurons is set to 3. This category outputs 1 and the other categories output 0.)

说明：  python代码实现的LOF算法代码(为什么会有人去做这么无聊的事情呢。。。）(Python code implements LOF algorithm code. (Why would anyone do such a boring thing?))

that si inception network for tf

主成分分析图像，分析图像像素组成部分，高维提取低维特征(Principal component analysis image, analysis of image pixel components, high dimensional extraction of low dimensional features)

一个Python脚本和模块只在终端使用ANSI颜色。

django book for developing networking applications

基于python语言的交通流预测，预测结果比较精准(Traffic flow forecast)