零基础学Python.pdf

说明：  回声状态网络(ESN)python实现代码，ESN是RNN的改进(Echo State Network (ESN) Python implementation code, ESN is an improvement of RNN)

说明：  支持向量机实现多分类，解决多分类的问题，模式识别等(SVM for multi classification. Solve the problem of multi classification, pattern recognition, etc)

说明：  abaqus周期性边界条件代码，可以参考学习(Periodic boundary conditions)

Esri CityEngine tutorV1.0 是针对于CityEngine初学者入门的流通教程(This PDF is a wide spread textbook for learners who want to start CityEngine)

说明：  图形界面编辑，各种python语言基础语句运用，以及各种库的教程(Graphic Interface Editing, Basic Statement Application of Python Language, and Courses of Various Libraries)

小型文本文档的编译程序，可供初级学习Python语言的伙伴，作参考联系使用，仅供参考，(Compilers for small text documents can be used as reference links for beginner Python language learners only.)

USB HID通信程序，采用Python编写。(python code for USB HID.)

说明：  用Python实现了网页数据的抓取，网页动态图的浮现，字体颜色大小的改变，网页数据爬取，制作相关网页，用表格体现，并改变了表格的风格，(Python is used to capture web page data, the emergence of dynamic graph, the change of font size, the crawl of web page data, the production of relevant web pages, which are represented by tables, and the style of tables is changed.)

Python密度聚类 最近在Science上的一篇基于密度的聚类算法《Clustering by fast search and find of density peaks》引起了大家的关注(在我的博文“论文中的机器学习算法——基于密度峰值的聚类算法”中也进行了中文的描述)。于是我就想了解下基于密度的聚类算法，熟悉下基于密度的聚类算法与基于距离的聚类算法，如K-Means算法之间的区别。 基于密度的聚类算法主要的目标是寻找被低密度区域分离的高密度区域。与基于距离的聚类算法不同的是，基于距离的聚类算法的聚类结果是球状的簇，而基于密度的聚类算法可以发现任意形状的聚类，这对于带有噪音点的数据起着重要的作用。(The main goal of the density based clustering algorithm is to find high density regions separated by low density regions. Different from distance based clustering algorithm, the clustering results based on distance clustering algorithm are spherical clusters, and density based clustering algorithm can detect clustering of arbitrary shapes, which plays an important role in data with noisy points.)

说明：  层次分析法，简称AHP，是指将与决策总是有关的元素分解成目标、准则、方案等层次，在此基础之上进行定性和定量分析的决策方法。(It refers to the decision-making method that divides the elements that are always related to decision-making into objectives, criteria, schemes, etc. on the basis of which qualitative and quantitative analysis can be carried out)