简单的python程序

本代码用于测试QT环境是否安装成功，接下来解压文件：xz –d qt-everywhere-opensource-src-5.3.0.tar.xz  得到qt-everywhere-opensource-src-5.3.0.tar 继续解压：tar –xvf qt-everywhere-opensource-src-5.3.0进入qt目录，修改配置文件。本人是s3c2440arm9指令集是armv4t。修改源码包目录下的/qtbase/mkspecs/linux-arm-gnueabi-g++/qmake.conf文件:MAKEFILE_GENERATOR     = UNIXCONFIG                += incrementalQMAKE_INCREMENTAL_STYLE = sublib/********************************新加入***************************/QT_QPA_DEFAULT_PLATFORM = linuxfb QMAKE_CFLAGS_RELEASE   +=-O2 -march=armv4t#这里指出指令局。跟芯片有关系，根据芯片改正-march=？  -O2是编译器的优化等级QMAKE_CXXFLAGS_RE

cnn,一个简单的神经网络实现,仅需要python3以上版本，numpy,以及相关包，适合初学者

一个普通的小游戏，没有什么功能，就一个游戏(An ordinary little game, no function, just a garbage game.)

说明：  用随机森林方法对因变量的影响因素进行特征选择，即影响度排序(Using random forest method to select the factors affecting the dependent variable, that is, the order of influence)

regularly remind yourself a break under linux gadget python.

【实例简介】

覆盖了基本常用的机器学习算法。包括线性回归与分类算法；决策树；多种降维算法；优化算法；强化学习等多类算法的Python代码。(It covers the commonly used machine learning algorithms. Including linear regression and classification algorithm; decision tree; a variety of dimensionality reduction algorithm; optimization algorithm; reinforcement learning and other algorithms of Python code.)

GAN标准生成对抗网络基于tensorflow的实现(Implementation of GAN standard generation confrontation network based on tensorflow.)

说明：  Python的一个绘图模块，非常好用，体积有很小，可以替代matlab的大部分功能(Python in a drawing module, very easy to use, very small size, can replace most of the functions matlab)

说明：  python与机器学习实战教程，机器学习通过Python语言实现，通过大量的实例再现机器学习强大的生命力(Python and Machine Learning Practical Course. Machine Learning is realized by Python Language, and the powerful vitality of machine learning is reappeared through a large number of examples.)