▍1. Python3通过whois生成通讯录
Python3通过whois生成通讯录实例(Python3 generates an instance of the address book through whois)
Python3通过whois生成通讯录实例(Python3 generates an instance of the address book through whois)
该书指导在工程应用中的编程计算,对结构模拟的后处理和软件的二次开发。(application of engineering)
Stock:自定义的随机股票交易回测系统 URLBookmarkManage:收藏夹书签自动生成网页版本 autoinstall:自动安装未安装的模块 LazyImport:延迟加载(类实现) LazyImport2:延迟加载(重写import)(Stock: a custom random stock trading back test system URLBookmarkManage: a collection of bookmarks automatically generates a web version Autoinstall: automatic installation of an un installed module LazyImport: delay loading (Class Implementation) LazyImport2: delayed loading (Rewriting import))
51job爬虫 python写的爬虫,爬取51job前程无忧、智联招聘的大城市(北京、上海、深圳、广州、杭州)各种编程语言职位的总条数。(51job spider Python to write a crawler, climb the big city 51job qianchengwuyou, Zhaopin (Beijing, Shanghai, Shenzhen, Guangzhou, Hangzhou) a variety of programming language posts total number.)
特征提取,随机森林实现特征重要性排序,用python实现(Feature extraction and classification of characteristic importance in random forest)
可以进行金属材料断裂模拟,经试验验证该模型的正确性(the damage programme for steel in Abaqus)
用于钢筋混凝土结构构件在Opensees中的模拟(INF simulation of RC columns in Opensees)
使用pyqt 实现windows下串口通信,包括串口选择配置,数据收发等。当然也可以加入pygraph实现波形显示,可做为上位机程序的参考(Using pyqt to achieve windows serial communication, including serial selection, configuration, data transceiver. Of course, you can also join the pygraph to achieve waveform display, can be used as a reference to the host computer program)
按照制定的行对excel进行分割为不同的文件夹及不同文件(Divide the excel into different folders and different files according to the line made)
利用python编写的均衡器,用于通信仿真(a equalizer based python)
循环神经网络教程循环神经网络教程循环神经网络教程(Recurrent Neural Network TutorialRecurrent Neural Network TutorialRecurrent Neural Network Tutorial)
最近一直在用keras,说点个人感受。 1、keras根植于python及theano,人气比较旺。 2、提供较为上层的框架,搞个深度学习的原型非常方便。 3、更新很快,我记得几个月前还没有multi-task的能力,最近再查就提供了graph的对象。 4、最重要的,文档很全。这点超过其它类似的基于theano的框架(Lasagne, Opendeep, Blocks)(Keras is a high-level neural networks library, written in Python and capable of running on top of either TensorFlow or Theano. It was developed with a focus on enabling fast )
python code for fat tree topology with different measurements
openssl实现客户端与服务器证书创建生成并验证(openssl to achieve the client and server certificates are created and generated verification)