??xml version="1.0" encoding="utf-8" standalone="yes"?>˲Ʊô:BlogJava - Ͷעѯƨ//www.cqk4s.cn/all专注于Java技?/description>zh-cnSun, 24 Mar 2019 19:54:14 GMTSun, 24 Mar 2019 19:54:14 GMT60Activiti7.0.0最新版SR1发布?019?月) - Ͷעѯƨ//www.cqk4s.cn/ouyida3/archive/2019/03/24/433690.htmlouyida3ouyida3Sun, 24 Mar 2019 01:52:00 GMT//www.cqk4s.cn/ouyida3/archive/2019/03/24/433690.html//www.cqk4s.cn/ouyida3/comments/433690.html//www.cqk4s.cn/ouyida3/archive/2019/03/24/433690.html#Feedback0//www.cqk4s.cn/ouyida3/comments/commentRss/433690.html//www.cqk4s.cn/ouyida3/services/trackbacks/433690.htmlhttps://community.alfresco.com/community/bpm/blog/2019/03/08/activiti-cloud-sr1-released  阅读全文

ouyida3 2019-03-24 09:52 发表评论
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Activiti7开发路线图 - Ͷעѯƨ//www.cqk4s.cn/ouyida3/archive/2019/03/24/433689.htmlouyida3ouyida3Sun, 24 Mar 2019 01:38:00 GMT//www.cqk4s.cn/ouyida3/archive/2019/03/24/433689.html//www.cqk4s.cn/ouyida3/comments/433689.html//www.cqk4s.cn/ouyida3/archive/2019/03/24/433689.html#Feedback0//www.cqk4s.cn/ouyida3/comments/commentRss/433689.html//www.cqk4s.cn/ouyida3/services/trackbacks/433689.html

˲Ʊô:Activiti 7 Roadmap

salaboy edited this page Feb 16, 2019 · 58 revisions

Get in touch if you want to participate and define the future of the Activiti project. For more information visit our Original Roadmap and the following updates. We are currently working on what is described in this page. We also recommend you to check our GitBook for Activiti & Activiti Cloud

Check out the Activiti Cloud Milestones

Activiti Cloud 7.1.x Release Train - Milestones Planning (March 2019)

  • JHipster Microservices Infrastructure Integration
    • Databindings (Data Objects)
    • JHispter use cases for UI and Backend Services deployment to K8s
    • UUA support
  • Kubernetes Native Integrations - Applications Operator
    • Spring Cloud Kubernetes Extensions
  • Acceptance Tests Steps Library
  • Standalone Process Modeler
  • Independent Task Runtime
  • BluePrint Trending Topics Campaigns User Interface and Dashboards
  • Istio.io Research and initial integration
  • KNative Bindings with Spring Cloud Functions
  • Decision Service initial draft implementation

Next - 2020 / Activiti Cloud 8.x

  • Collaboration Services
  • BluePrint for HealthCare, Finance, Games
  • AI bindings and abstractions

7.0.x Release Train

You can also check our overall project board here

Milestone #0 – July 2017 – Ended

  • Clean up Activiti
  • Domain API + HAL API + Runtime Bundle
    • process definitions
    • process instances
    • tasks
    • XML/JSON/SVG for process definitions
  • Audit Service: Event Store for Audit Information
  • Identity Management and SSO (KeyCloak implementation)
  • First Release Process

Milestone #1 – August 2017 – Ended

  • Domain API + HAL API + Runtime Bundle
    • Improvements, refinements and additions
  • Query Service: Event Store for Runtime Information
    • Security Enabled
    • JPA – Reference Implementation
  • Infrastructure Enabled Services
    • Gateway (Zuul)
    • Application Registry (Eureka)
    • SSO & IDM (Keycloak default implementation)
    • All Services are Docker Enabled
    • All Services can be deployed into Kubernetes
  • Cloud Examples

Milestone #2 – September 2017 – Ended

  • Domain API + HAL API + Runtime Bundle
  • Audit Service Mongo DB alternative
  • GraphQL review in progress
  • Release to Maven Central
  • Infrastructure Enabled Services
    • Helm Charts
    • Cloud Documentation
    • Cloud Examples Improvements
  • Validation Examples
    • AWS
    • Kubernetes / Minikube
    • Docker Compose

Milestone #3 – October 2017 - Ended

  • Refactor Activiti Cloud Services
  • Process Def & Instance Security model
  • Activiti Cloud Connectors
    • Process Engine refactoring to avoid JavaDelegates and classpath extensions
    • Kubernetes Service ready
  • Model Repository Service (Design and Initial Implementation)
  • Form Service (Initial discussions and planning)

Milestone #4 - November 2017 - Ended

  • Runtime Bundle & Services Hardening
    • Process Def & Instance Security Policies model
  • Tracing & Monitoring integrations common to all our services
  • Activiti Cloud Connectors Examples
  • JHipster Integration and Examples
  • Process Model Service - Initial Draft
  • Kubernetes & AWS deployments improvements

Milestone #5 - December 2017 - Ended

  • Extended Tests for distributed deployments to a live environment (24/7)
  • Process Model Service - Initial Implementation to release
  • Project & Groups Service - Initial Implementation to release
  • Elastic Search Query Service - Initial implementation to release
  • Notification Service PoC
  • Distributed Logging, Monitoring and Tracing
    • ELK Stack (or similar)
  • Process Runtime & Connectors Registry
  • Automated Release Tests - Initial approach

Milestone #6 - January 2018 - Ended

  • Process Runtime Service APIs (review and proposal)
  • Notification Service initial implementation for release
    • Query Module now use GraphQL to provide faster and better options for data retrieval
  • Improved Activiti Cloud Connectors Starter
    • Connectors now use dynamic binding to improve traceability
  • Kubernetes ConfigMaps Research
  • Improved Deployment Descriptors for Kubernetes
    • Tests in AWS environments using our Helm Charts
    • Tests in PKS Pivotal Early Access Environment
    • Shared Helm Charts with the Alfresco Platform Services for core infrastructure

Milestone #7 - February/March/April 2018 - Ended -

  • Digital Business Platform API Alignment (new module introduced)
  • Process Modelling Services next iteration
    • Process Modelling Validation Endpoint for BPMN models
  • Process Definition based security alignment in Runtime Bundle and Query
  • Kubernetes Service Registry, Kubernetes Discovery Client and ConfigMaps
  • Large POM refactorings required to improve project maintenance and dependency management
  • Activiti Scripts for speeding up the release process
  • Cloud Native BPMN Signal and Message Behaviours (initial draft/still under develop)
  • Web Socket for GraphQL subscriptions and integration with Gateway and Keycloak (still under develop)
  • Hardened our Acceptance Tests for Runtime and Modeling Services
  • Introduced a draft for our Performance Tests suite
  • Introduced Angular/ADF Demo UI Draft

Beta1 - Aug 2018 - Done

  • Process Definition based security unification
  • Cloud Native BPMN Signal and Message Behaviours
  • New Process & Task Runtime Java APIs +
  • Application Service
  • Refinements and consistency improvements
  • BluePrint repository split improvements to use query & audit
  • Notifications PoC with GraphQL integration at the gateway layer
  • Jenkins X (jenkinsx.io) support and alignment
  • HELM Charts for Infra & Applications
  • Spring Cloud Kubernetes upgrade and improvements

Beta2 - Sept 2018 - Done

  • CI/CD using Jenkins X
  • Spring Community Articles
  • BPMN timers & Spring Cloud Kubernetes Distributed Timers
  • Improved Modeling Services Backend
  • Connectors RFC
  • Application Structure RFC
  • Acceptance Tests Hardening

Beta3 - Nov 2018 - Ended -

Beta4 - Dec 2018 - Ended -

Beta5 - Dec 2018 - Ended

RC1 - Jan 2019 - Ended

Activiti Cloud 7.0.x GA - Feb 2019

更多见官网:
https://github.com/Activiti/Activiti/wiki/Activiti-7-Roadmap



ouyida3 2019-03-24 09:38 发表评论
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Flowable6.5.0开发路线图?019?月) - Ͷעѯƨ//www.cqk4s.cn/ouyida3/archive/2019/03/24/433688.htmlouyida3ouyida3Sun, 24 Mar 2019 01:27:00 GMT//www.cqk4s.cn/ouyida3/archive/2019/03/24/433688.html//www.cqk4s.cn/ouyida3/comments/433688.html//www.cqk4s.cn/ouyida3/archive/2019/03/24/433688.html#Feedback0//www.cqk4s.cn/ouyida3/comments/commentRss/433688.html//www.cqk4s.cn/ouyida3/services/trackbacks/433688.html更多可见官网:https://github.com/flowable/flowable-engine/wiki/Flowable-roadmap  阅读全文

ouyida3 2019-03-24 09:27 发表评论
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《Python 数据科学实践指南》读书笔?/title><link>//www.cqk4s.cn/zhuyuanxiang/archive/2019/03/19/433681.html</link><dc:creator>zYx.Tom</dc:creator><author>zYx.Tom</author><pubDate>Tue, 19 Mar 2019 04:51:00 GMT</pubDate><guid>//www.cqk4s.cn/zhuyuanxiang/archive/2019/03/19/433681.html</guid><wfw:comment>//www.cqk4s.cn/zhuyuanxiang/comments/433681.html</wfw:comment><comments>//www.cqk4s.cn/zhuyuanxiang/archive/2019/03/19/433681.html#Feedback</comments><slash:comments>0</slash:comments><wfw:commentRss>//www.cqk4s.cn/zhuyuanxiang/comments/commentRss/433681.html</wfw:commentRss><trackback:ping>//www.cqk4s.cn/zhuyuanxiang/services/trackbacks/433681.html</trackback:ping><description><![CDATA[<section class="page__content" itemprop="text"><aside class="sidebar__right sticky"><nav class="toc"><header> <h4 class="nav__title"><!-- <i class="fas fa-book-reader"></i> -->文章提纲</h4></header> <ul class="toc__menu"> <li class="vpdh"><a href="#全书总评">全书总评</a> <li class="vpdh"><a href="#c01python-介绍">C01.Python 介绍</a> <ul class="vpdh"> <li class="vpdh"><a href="#python-版本">Python 版本</a> <li class="vpdh"><a href="#python-解释?>Python 解释?/a> <li class="vpdh"><a href="#python-之禅">Python 之禅</a> </li></ul> <li class="vpdh"><a href="#c02python-基础知识">C02.Python 基础知识</a> <ul class="vpdh"> <li class="vpdh"><a href="#基础知识">基础知识</a> <li class="vpdh"><a href="#流程控制">流程控制?/a> <li class="vpdh"><a href="#函数及异?>函数及异?/a> <ul class="vpdh"> <li class="vpdh"><a href="#函数">函数?/a> <li class="vpdh"><a href="#异常">异常</a> </li></ul> <li class="vpdh"><a href="#字符?>字符?/a> <ul class="vpdh"> <li class="vpdh"><a href="#获取键盘输入">获取键盘输入?/a> <li class="vpdh"><a href="#字符串处?>字符串处?/a> <li class="vpdh"><a href="#字符串操?>字符串操?/a> <li class="vpdh"><a href="#正则表达?>正则表达?/a> </li></ul></li></ul> <li class="vpdh"><a href="#c05-容器container与集合collections">C05. 容器(Container)与集合(Collections?/a> <ul class="vpdh"> <li class="vpdh"><a href="#元组tuple">元组(Tuple?/a> <li class="vpdh"><a href="#列表list">列表(List?/a> <li class="vpdh"><a href="#字典dictionary">字典(Dictionary?/a> <li class="vpdh"><a href="#集合collections">集合(Collections?/a> </li></ul> <li class="vpdh"><a href="#c06python-标准?>C06.Python 标准?/a> <ul class="vpdh"> <li class="vpdh"><a href="#数学模块math">数学模块:math</a> <li class="vpdh"><a href="#时间模块timedatetimecalendar">时间模块:time,datetime,calendar</a> <li class="vpdh"><a href="#随机数模块random">随机数模块:random</a> <li class="vpdh"><a href="#取样">取样?/a> <li class="vpdh"><a href="#文件处理glob-?fileinput">文件处理:glob ?fileinput</a> <li class="vpdh"><a href="#压缩bz2-?gzip">压缩:bz2 ?gzip</a> <li class="vpdh"><a href="#漂亮打印pprint-模块">漂亮打印:pprint 模块</a> <li class="vpdh"><a href="#跟踪异常日志traceback-模块">跟踪异常日志:traceback 模块</a> <li class="vpdh"><a href="#网络数据传输json">网络数据传输:JSON</a> </li></ul> <li class="vpdh"><a href="#c07-?python-读写外部数据">C07. ?Python 读写外部数据</a> <ul class="vpdh"> <li class="vpdh"><a href="#csvcsv-模块">CSV,csv 模块</a> <li class="vpdh"><a href="#excelpandas-模块参?c10">Excel,pandas 模块(参?C10?/a> <li class="vpdh"><a href="#mysqlmysqldb-模块torndb-模块">MySQL,MySQLdb 模块,torndb 模块</a> <li class="vpdh"><a href="#postgresqlpsycopg2-模块">PostgreSQL,psycopg2 模块</a> <li class="vpdh"><a href="#mongodbpymongo-模块">MongoDB,pymongo 模块</a> <li class="vpdh"><a href="#elasticsearchelasticsearch-模块">ElasticSearch,elasticsearch 模块</a> </li></ul> <li class="vpdh"><a href="#c08-?python-解决统计问题">C08. ?Python 解决统计问题</a> <ul class="vpdh"> <li class="vpdh"><a href="#描述性统?>描述性统?/a> <li class="vpdh"><a href="#数据可视?>数据可视?/a> </li></ul> <li class="vpdh"><a href="#c09-爬虫入门">C09. 爬虫入门</a> <ul class="vpdh"> <li class="vpdh"><a href="#request-模块">request 模块</a> <li class="vpdh"><a href="#xpath-模块">Xpath 模块</a> </li></ul> <li class="vpdh"><a href="#c10-数据科学的第三方?>C10. 数据科学的第三方?/a> <ul class="vpdh"> <li class="vpdh"><a href="#numpy-模块">Numpy 模块</a> </li></ul> <li class="vpdh"><a href="#从这里开始先弃了这本书适合了解了以后再来根据作者的实践角度查遗补缺">从这里开始,先弃了,这本书适合了解了以后,再来根据作者的实践角度查遗补缺?/a> <ul class="vpdh"> <li class="vpdh"><a href="#pandas-模块">Pandas 模块</a> <li class="vpdh"><a href="#scikit-learn-模块">Scikit-Learn 模块</a> <li class="vpdh"><a href="#c11-图数据分?>C11. 图数据分?/a> <li class="vpdh"><a href="#图论基础">图论基础</a> <li class="vpdh"><a href="#networkx-模块">NetworkX 模块</a> <li class="vpdh"><a href="#利用-networkx-进行图分?>利用 NetworkX 进行图分?/a> </li></ul> <li class="vpdh"><a href="#c12-大数据工?>C12. 大数据工?/a> <ul class="vpdh"> <li class="vpdh"><a href="#hadoop">Hadoop</a> <li class="vpdh"><a href="#spark">Spark</a> </li></ul></li></ul></nav></aside> <h1 id="全书总评">全书总评</h1> <ul class="vpdh"> <li class="vpdh">书本印刷质量? 星。印刷清楚,排版合适,错误很少? <li class="vpdh">著作编写质量? 星。Python 入门和与数据处理相关的各种模块的入门,以及数据处理的入门。作者是原著,写的确实是自己的东西,不是东抄西抄。只是实践部分的内容实在太浅薄了些? <li class="vpdh">代码质量?星。Python入门这本书的IT功底不够,中间可能会碰到一些坑,最好有点Python基础以后,用这本书查遗补缺?a >下载地址</a> <li class="vpdh">阅读笔记:记录需要记住的重点,方便快速回忆?</li></ul> <h1 id="c01python-介绍">C01.Python 介绍</h1> <h2 id="python-版本">Python 版本</h2> <ul class="vpdh"> <li class="vpdh">Python 2.x?001 年发布,有许多资料和库基于这个版本编写; <li class="vpdh">Python 3.x?009 年发布,与旧版本不兼容; </li></ul> <h2 id="python-解释?>Python 解释?/h2> <ul class="vpdh"> <li class="vpdh">Python是开源的,因此它的解释器有许多种实现,主流的?a >官方的解释器</a>?</li></ul> <h2 id="python-之禅">Python 之禅</h2> <ul class="vpdh"> <li class="vpdh">import this </li></ul> <h1 id="c02python-基础知识">C02.Python 基础知识</h1> <h2 id="基础知识">基础知识</h2> <ul class="vpdh"> <li class="vpdh">基础数据类型:在 Python 中,所有的元素都是“对象”? <ul class="vpdh"> <li class="vpdh">None:表示什么都没有的类型; <li class="vpdh">int:表示整数的类型? <li class="vpdh">float:表示浮点数的类型; <li class="vpdh">bool:表示布尔数值的类型? <li class="vpdh">str:表示字符串的类型; </li></ul> <li class="vpdh">变量与赋值:Python 的书写规范(PEP8? <ul class="vpdh"> <li class="vpdh">序列解包 </li></ul> <li class="vpdh">操作符与表达式: <ul class="vpdh"> <li class="vpdh">算术操作符: <li class="vpdh">位操作符? <li class="vpdh">比较操作符: <li class="vpdh">逻辑操作符:and,or,not </li></ul> <li class="vpdh">文本编辑器: <ul class="vpdh"> <li class="vpdh">文件编码:UTF-8 </li></ul></li></ul> <h2 id="流程控制">流程控制?/h2> <ul class="vpdh"> <li class="vpdh">条件判断(if…elif…else…)? <li class="vpdh">循环? <ul class="vpdh"> <li class="vpdh">while? <li class="vpdh">for…in…: </li></ul> <li class="vpdh">缩进,空白与注释 <ul class="vpdh"> <li class="vpdh">缩进:分割代码块? <li class="vpdh">空白:没有任何意义,只为美观? <li class="vpdh">注释? <ul class="vpdh"> <li class="vpdh">单行注释:?? <li class="vpdh">多行注释:?”…””?</li></ul></li></ul></li></ul> <h2 id="函数及异?>函数及异?/h2> <h3 id="函数">函数?/h3> <ul class="vpdh"> <li class="vpdh">函数定义:def func_name() <li class="vpdh">参数定义? <ul class="vpdh"> <li class="vpdh">实参? <li class="vpdh">形参? <li class="vpdh">位置参数(参数绑定):根据定义和调用函数时参数的位置进行参数的赋值; <li class="vpdh">关键字参数:非关键字参数不能定义在关键字参数后面? <li class="vpdh">可变数量的参数:def func(*args, **kwargs) <ul class="vpdh"> <li class="vpdh">*args:位置形参,表示任意数量的位置参数都会合并成一个元组,绑定?args 上; <li class="vpdh">**kwargs:关键字形参,表示任意数量的关键字参数都会合并成一个元组,绑定?kwargs 上; </li></ul></li></ul> <li class="vpdh">递归? <li class="vpdh">闭包(closure):又称词法闭包(Lexical Closure)或函数闭包(Function Closure),是引用了自由变量的函数。这个被引用的自由变量将和这个函数一同存在,即使已经离开了创建它的环境也不例外?</li></ul> <h3 id="异常">异常</h3> <ul class="vpdh"> <li class="vpdh">异常:(try…except…finally…) </li></ul> <h2 id="字符?>字符?/h2> <ul class="vpdh"> <li class="vpdh">运算符: <ul class="vpdh"> <li class="vpdh">?”:字符串拼接; <li class="vpdh">?”:字符串复制多份,然后拼接? <li class="vpdh">切片 [start,stop,step]? <li class="vpdh">len():字符串长度?</li></ul></li></ul> <h3 id="获取键盘输入">获取键盘输入?/h3> <ul class="vpdh"> <li class="vpdh">input(str)?</li></ul> <h3 id="字符串处?>字符串处?/h3> <ul class="vpdh"> <li class="vpdh">字符? <ul class="vpdh"> <li class="vpdh">字符(Character):是各种文字和符号的总称? <li class="vpdh">字符集(Character Set):是多个字符的集合,字符集的各类很多,每个字符集包含的字符个数也不同? <li class="vpdh">字符编码(Character Encoding):也称字集码,是把字符集中的字符编码按指定集合中的某一个对象,以便在计算机中存储和通过通信网络传递文本?</li></ul> <li class="vpdh">ASCII 字符集和编码 <li class="vpdh">Unicode 字符集和 UTF-8 编码 </li></ul> <h3 id="字符串操?>字符串操?/h3> <ul class="vpdh"> <li class="vpdh">基本操作? <ul class="vpdh"> <li class="vpdh">strip():移除字符串两侧的所有空白符? <li class="vpdh">capitalize():使字符串的首字母大写; <li class="vpdh">title():使字符串中每个单词的首字母大写? <li class="vpdh">lower():使字符串的所有字母小写; <li class="vpdh">upper():使字符串的所有字母大写; <li class="vpdh">isalnum():字符串中包含字母或者数字时?True? <li class="vpdh">isdigit():字符串中只包含数字时为 True?</li></ul> <li class="vpdh">分割? <ul class="vpdh"> <li class="vpdh">split(delimiter):将字符串按指定分隔符分割; <li class="vpdh">rsplit(delimiter):将字符串从右边开始按指定分隔符分割; </li></ul> <li class="vpdh">格式化: <ul class="vpdh"> <li class="vpdh">%:print(?s?%name) <li class="vpdh">format():print(‘{one} and {two}?format(one=??two=??) </li></ul></li></ul> <h3 id="正则表达?>正则表达?/h3> <ul class="vpdh"> <li class="vpdh">转义符:P55 <li class="vpdh">re 模块? <ul class="vpdh"> <li class="vpdh">re.compile():匹配模式; <ul class="vpdh"> <li class="vpdh">match():匹配字符串?</li></ul></li></ul></li></ul> <h1 id="c05-容器container与集合collections">C05. 容器(Container)与集合(Collections?/h1> <h2 id="元组tuple">元组(Tuple?/h2> <ul class="vpdh"> <li class="vpdh">元组:与字符串一样,是有序的序列,不可以改变内容 <li class="vpdh">基本操作:连接、切片都与字符串保持一致; <li class="vpdh">序列解包:也称多重赋值; <li class="vpdh">支持迭代器协议,支持 for 循环 </li></ul> <h2 id="列表list">列表(List?/h2> <ul class="vpdh"> <li class="vpdh">列表:也是序列类型的对象,但是可以改变列表中的内容; <li class="vpdh">基本操作:连接、切片都与字符串保持一致; <li class="vpdh">更改操作? <ul class="vpdh"> <li class="vpdh">pop():删除列表中的数据,并将删除的数据返回; <li class="vpdh">insert():插入数据; <li class="vpdh">append():追加数据; <li class="vpdh">extend():拼接列表; </li></ul> <li class="vpdh">引用传递:所有的赋值都只是引用的传递,并没有创建新的数据; <ul class="vpdh"> <li class="vpdh">list[:]:浅拷贝,只拷贝第一层引用的数据? <li class="vpdh">deepcopy():深拷贝,拷贝所有引用的数据?</li></ul> <li class="vpdh">列表解析式:构造列表的方式,将一个函数作用到整个列表中每个元素的方式;[x for x in range(1,3)] </li></ul> <h2 id="字典dictionary">字典(Dictionary?/h2> <ul class="vpdh"> <li class="vpdh">字典在其他语言中被称为散列表,?key:value 对通过{}组成的无序结构? <li class="vpdh">常用的函数: <ul class="vpdh"> <li class="vpdh">get(key):通过 key 取得对应?value;还可以通过链式调用取值; <li class="vpdh">dict(list):构建新的字典; <li class="vpdh">dict.keys():获取字典的 keys 迭代? <li class="vpdh">dict.values():获取字典的 values 迭代? <li class="vpdh">dict.items():获取字典的 key:value 对的迭代? <li class="vpdh">dict.pop(key):取出指定关键字的值; <li class="vpdh">dict.update(key):更新字典中对应?key 中的 value?</li></ul></li></ul> <h2 id="集合collections">集合(Collections?/h2> <ul class="vpdh"> <li class="vpdh">namedtuple():具名元组? <li class="vpdh">Counter():累加器,可以用来做经典?word count? <li class="vpdh">defaultdict():为字典设定一个默认值; <li class="vpdh">OrderedDict():使字典有序?</li></ul> <h1 id="c06python-标准?>C06.Python 标准?/h1> <h2 id="数学模块math">数学模块:math</h2> <ul class="vpdh"> <li class="vpdh">常见常量:默认精度为 15 位,最多可以取?48 ? <ul class="vpdh"> <li class="vpdh">math.pi <li class="vpdh">math.e </li></ul> <li class="vpdh">无穷大与无效数字? <ul class="vpdh"> <li class="vpdh">math.inf:表示“无穷大”,?infinite 的缩写。math.inf*math.inf==math.inf <li class="vpdh">math.nan:表示“无效数字”,?Not a number 的缩写。math.inf/math.inf==math.nan <li class="vpdh">int 的范围:?3.5 ?int 长度理论上是无限? <li class="vpdh">float 的范围:1e-309~1e+309 </li></ul> <li class="vpdh">浮点数转换为整数? <ul class="vpdh"> <li class="vpdh">math.trunc(f):截掉浮点型小数点后面的数字? <li class="vpdh">math.floor(f):取最接近浮点型数字的整数? <li class="vpdh">math.ceil(f):取比当前浮点型数字大的整数?</li></ul> <li class="vpdh">绝对值和符号? <ul class="vpdh"> <li class="vpdh">math.fabs(f):浮点数的绝对值; <li class="vpdh">math.copysign(x,y):符号函数,?y 的符号传递给 x?</li></ul> <li class="vpdh">常用计算? <ul class="vpdh"> <li class="vpdh">math.fsum(values):解?sum(values) 不能精确计算的问题; <li class="vpdh">math.factorial(x):阶乘计算函数?</li></ul> <li class="vpdh">指数和对数: <ul class="vpdh"> <li class="vpdh">math.pow(x,y):x ?y 次幂? <li class="vpdh">math.log(x):x ?e 为底的对数; <li class="vpdh">math.log10(x):x ?10 为底的对数; </li></ul></li></ul> <h2 id="时间模块timedatetimecalendar">时间模块:time,datetime,calendar</h2> <ul class="vpdh"> <li class="vpdh">time 模块:基础的时间处理模块; <ul class="vpdh"> <li class="vpdh">time.time():表示为数字时间戳,即从格林威治时间?970-1-1???(北京时间:1970-1-1???)以来所经历过的秒数? <li class="vpdh">time.ctime(x):没?x 则返回当前时间的字符串版本,?x 则返回从时间戳开始经过了 x 秒后的时间的字符串? <li class="vpdh">struct_time:具名元组,可以分别获得?(tm_year)、月 (tm_mon)、当月第几日 (tm_mday)、时 (tm_hour)、分 (tm_min)、秒 (tm_sec),星期几 (tm_way,星期一?0),当年第几天 (tm_yday),是否夏令时 (tm_isdst,没有为 0)? <ul class="vpdh"> <li class="vpdh">time.gmtime():格林威治下?struct_time? <li class="vpdh">time.localtime():当前电脑所在时区的 struct_time? <li class="vpdh">time.mktime(struct_time):还原成数字时间戳的方式? <li class="vpdh">time.strptime(string,format):将字符串格式的时间按照格式转换?struct_time 格式? <li class="vpdh">time.strftime(format,struct_time):将 struct_time 格式的时间元组转换成字符串格式; </li></ul></li></ul> <li class="vpdh">datetime 模块:针对年月日和时分秒分别进行处理? <li class="vpdh">calendar 模块:处理万年历?</li></ul> <h2 id="随机数模块random">随机数模块:random</h2> <ul class="vpdh"> <li class="vpdh">随机数生成器? <ul class="vpdh"> <li class="vpdh">random.random():生成均匀分布的浮点随机数,在半开半闭区间 [0.0, 1.0)? <li class="vpdh">random.seed():设置随机数种子? <li class="vpdh">random.randint(a,b):返回整型随机数,在闭区?[a,b]? <li class="vpdh">random.randrange():返回整型随机数,在半开半闭区间 [a,b)?</li></ul></li></ul> <h2 id="取样">取样?/h2> <ul class="vpdh"> <li class="vpdh">random.shuffle(list):按随机性质将列表重新排列顺序; <li class="vpdh">random.choice(list):按随机性质从列表中抽取数据? <li class="vpdh">random.sample(list,k):按随机性质从列表中抽取指定长度的数据; </li></ul> <h2 id="文件处理glob-?fileinput">文件处理:glob ?fileinput</h2> <ul class="vpdh"> <li class="vpdh">open(filename,mode):基?mode 模式打开 filename 文件;还支持上下文管理器 with 模式? <li class="vpdh">glob 模块:目录处理; <li class="vpdh">fileinput 模块:批量文件读入;是一个帮助类?</li></ul> <h2 id="压缩bz2-?gzip">压缩:bz2 ?gzip</h2> <ul class="vpdh"> <li class="vpdh">不建议使用的压缩格式? <ul class="vpdh"> <li class="vpdh">rar:专门服务于 Windows 下,Python 需要第三方库才能打开? <li class="vpdh">tar:只用于打包文件,不对文件进行压缩; <li class="vpdh">zip:既可以压缩文件,还可以打包文件,因为自带打包功能,不适合用于对文件单独压缩; </li></ul> <li class="vpdh">建议使用的压缩格? <ul class="vpdh"> <li class="vpdh">bz2 模块:对单个文件可写可读,非常方便; <li class="vpdh">gzip 模块:对单个文件可写可读,非常方便; </li></ul></li></ul> <h2 id="漂亮打印pprint-模块">漂亮打印:pprint 模块</h2> <h2 id="跟踪异常日志traceback-模块">跟踪异常日志:traceback 模块</h2> <h2 id="网络数据传输json">网络数据传输:JSON</h2> <ul class="vpdh"> <li class="vpdh">json.loads():将 JSON 转换成字典; <li class="vpdh">json.dumps():将字典转换?JSON?</li></ul> <h1 id="c07-?python-读写外部数据">C07. ?Python 读写外部数据</h1> <h2 id="csvcsv-模块">CSV,csv 模块</h2> <ul class="vpdh"> <li class="vpdh">csv.reader():读取文件; <li class="vpdh">csv.writer():写入文件; <li class="vpdh">csv.register_dialect():delimiter= 注册分割符; <li class="vpdh">csv.DictReader():按照字典结构读取数据;* </li></ul> <h2 id="excelpandas-模块参?c10">Excel,pandas 模块(参?C10?/h2> <ul class="vpdh"> <li class="vpdh">pandas.read_excel():读取文件; <li class="vpdh">pandas.to_excel():写入文件; <li class="vpdh">pandas.set_option():设置属性值; <li class="vpdh">pandas.DataFrame():表格结构; </li></ul> <h2 id="mysqlmysqldb-模块torndb-模块">MySQL,MySQLdb 模块,torndb 模块</h2> <ul class="vpdh"> <li class="vpdh">db=torndb.Connection(host,database,user,password):建立数据库链接? <li class="vpdh">db.insert(SQL),db.insertmany(SQL):向数据库中插入单行数据,插入多行数据; <li class="vpdh">db.query(SQL):从数据库读取数据; </li></ul> <h2 id="postgresqlpsycopg2-模块">PostgreSQL,psycopg2 模块</h2> <h2 id="mongodbpymongo-模块">MongoDB,pymongo 模块</h2> <h2 id="elasticsearchelasticsearch-模块">ElasticSearch,elasticsearch 模块</h2> <h1 id="c08-?python-解决统计问题">C08. ?Python 解决统计问题</h1> <ul class="vpdh"> <li class="vpdh">pandas 模块许多函数发生了改变;?Python 3.7 ?read_excel() 运行有问题;统计都没办法测试了?</li></ul> <h2 id="描述性统?>描述性统?/h2> <ul class="vpdh"> <li class="vpdh">均值: <li class="vpdh">中位数: <li class="vpdh">方差? <li class="vpdh">标准差: </li></ul> <h2 id="数据可视?>数据可视?/h2> <ul class="vpdh"> <li class="vpdh">基本函数? <ul class="vpdh"> <li class="vpdh">plot() <li class="vpdh">show() <li class="vpdh">figure() <li class="vpdh">title() <li class="vpdh">xlabel() <li class="vpdh">ylabel() <li class="vpdh">legend() </li></ul> <li class="vpdh">图形? <ul class="vpdh"> <li class="vpdh">折线图: <li class="vpdh">散点图: <li class="vpdh">柱状图:bar() <li class="vpdh">饼图:pie() </li></ul></li></ul> <h1 id="c09-爬虫入门">C09. 爬虫入门</h1> <h2 id="request-模块">request 模块</h2> <ul class="vpdh"> <li class="vpdh">HTTP 协议? <li class="vpdh">获取 HTML 内容?</li></ul> <h2 id="xpath-模块">Xpath 模块</h2> <ul class="vpdh"> <li class="vpdh">解析 HTML 内容? <li class="vpdh">这个模块已经没有匹配 Python3.7 的版本了,放弃这个学习?</li></ul> <h1 id="c10-数据科学的第三方?>C10. 数据科学的第三方?/h1> <h2 id="numpy-模块">Numpy 模块</h2> <ul class="vpdh"> <li class="vpdh">ndarray: <ul class="vpdh"> <li class="vpdh">创建? <ul class="vpdh"> <li class="vpdh">arange() <li class="vpdh">linspace():度量等? <li class="vpdh">random.random():随机数 </li></ul> <li class="vpdh">属性: <ul class="vpdh"> <li class="vpdh">ndim:数组的维度? <li class="vpdh">shape:数组的形状? <li class="vpdh">dtype.name:数组中数据的类型; <li class="vpdh">itemsize:数组类型占用的内存空间大小? <li class="vpdh">size:数组中元素个数?</li></ul> <li class="vpdh">创建特定数组? <ul class="vpdh"> <li class="vpdh">zeros():全零矩阵; <li class="vpdh">ones():全 1 矩阵? <li class="vpdh">empty():随机的小值组成的矩阵?</li></ul></li></ul> <li class="vpdh">基本运算:数组运算是基于元素计算? <ul class="vpdh"> <li class="vpdh">矩阵乘法:dot() <li class="vpdh">迭代:与列表类似,直接迭代按行取数,flat() 可以把数组摊平为一维数? <li class="vpdh">变形:resize() 原地修改数组;reshape() 输出一个变形后的数组,原数组不变; <li class="vpdh">堆叠:hstack() 行数相同,水平堆叠;vstack() 列数相同,垂直堆叠; </li></ul> <li class="vpdh">高级运算 <ul class="vpdh"> <li class="vpdh">transpose():转置; <li class="vpdh">linalg.inv():取逆; <li class="vpdh">eye():单位阵? <li class="vpdh">trace():取迹; <li class="vpdh">linalg.solve():解线性方程; <li class="vpdh">linalg.eig():解特征方程?</li></ul></li></ul> <h1 id="从这里开始先弃了这本书适合了解了以后再来根据作者的实践角度查遗补缺">从这里开始,先弃了,这本书适合了解了以后,再来根据作者的实践角度查遗补缺?/h1> <h2 id="pandas-模块">Pandas 模块</h2> <h2 id="scikit-learn-模块">Scikit-Learn 模块</h2> <h2 id="c11-图数据分?>C11. 图数据分?/h2> <h2 id="图论基础">图论基础</h2> <h2 id="networkx-模块">NetworkX 模块</h2> <h2 id="利用-networkx-进行图分?>利用 NetworkX 进行图分?/h2> <h1 id="c12-大数据工?>C12. 大数据工?/h1> <h2 id="hadoop">Hadoop</h2> <h2 id="spark">Spark</h2></section><img src ="//www.cqk4s.cn/zhuyuanxiang/aggbug/433681.html" width = "1" height = "1" /><br><br><div align=right><a style="text-decoration:none;" href="//www.cqk4s.cn/zhuyuanxiang/" target="_blank">zYx.Tom</a> 2019-03-19 12:51 <a href="//www.cqk4s.cn/zhuyuanxiang/archive/2019/03/19/433681.html#Feedback" target="_blank" style="text-decoration:none;">发表评论</a></div>]]></description></item><item><title>《Python神经网络编程》的读书笔记 - Ͷעѯƨ//www.cqk4s.cn/zhuyuanxiang/archive/2019/03/19/433680.htmlzYx.TomzYx.TomTue, 19 Mar 2019 04:03:00 GMT//www.cqk4s.cn/zhuyuanxiang/archive/2019/03/19/433680.html//www.cqk4s.cn/zhuyuanxiang/comments/433680.html//www.cqk4s.cn/zhuyuanxiang/archive/2019/03/19/433680.html#Feedback0//www.cqk4s.cn/zhuyuanxiang/comments/commentRss/433680.html//www.cqk4s.cn/zhuyuanxiang/services/trackbacks/433680.html