james

0004题--任一个英文的纯文本文件,统计其中的单词出现的个数.

谁说我不能喝 提交于 2020-01-26 04:00:38
今天练习了一个简单的项目,后面有我自己在网上找的一段文章用作练习。 0004题–任一个英文的纯文本文件,统计其中的单词出现的个数. import sys x=input("请输入你查找的单词") txt1=open(r'D:\python练习内容\learning1.txt') txt2=txt1.read() txt_list=txt2.split(' ') a=0 i=0 for i in range(len(txt_list)): if txt_list[i] == x: a += 1 print(x,"在文章中出现的次数为:") print(a) 我所使用的文章是这一段: Hooray! It’s snowing! It’s time to make a snowman.James runs out. He makes a big pile of snow. He puts a big snowball on top. He adds a scarf and a hat. He adds an orange for the nose. He adds coal for the eyes and buttons.In the evening, James opens the door. What does he see? The snowman is moving!

TypeScript真香系列-接口

放肆的年华 提交于 2020-01-24 11:19:23
前言 TypeScript真香系列的内容将参考 中文文档 ,但是文中的例子基本不会和文档中的例子重复,对于一些地方也会深入研究。另外,文中一些例子的结果都是在代码没有错误后编译为JavaScript得到的。如果想实际看看TypeScript编译为JavaScript的代码,可以访问TypeScript的 在线编译地址 ,动手操作,印象更加深刻。 概念 TypeScript的核心原则之一是对值所具有的结构进行类型检查。 它有时被称做“鸭式辨型法”或“结构性子类型化”。 在TypeScript里,接口的作用就是为这些类型命名和为你的代码或第三方代码定义契约。可以说接口的出现,可以让我们在开发之中发现并避免许多问题的出现,提高我们的开发效率。 接口基础 在面向对象编程中,接口是一种规范的定义,它定义了行为和动作的规范。如下面的例子: interface IDo { work : string ; time : number ; } interface IMan { age : number ; name : string ; do : IDo ; } let james : IMan = { name : 'james' , age : 35 , do : { work : 'player' , time : 2020 } } james . name ; //"james" james

1028 List Sorting (25分)

|▌冷眼眸甩不掉的悲伤 提交于 2020-01-18 19:12:31
Excel can sort records according to any column. Now you are supposed to imitate this function. Input Specification: Each input file contains one test case. For each case, the first line contains two integers N (≤10 ​5 ​​ ) and C, where N is the number of records and C is the column that you are supposed to sort the records with. Then N lines follow, each contains a record of a student. A student’s record consists of his or her distinct ID (a 6-digit number), name (a string with no more than 8 characters without space), and grade (an integer between 0 and 100, inclusive). Output Specification:

《Python编程—从入门到实践》学习笔记(3)

泪湿孤枕 提交于 2020-01-17 13:51:33
操作列表 遍历列表 names = [ 'Rick' , 'James' , 'Ronaldo' ] for name in names : print ( name ) ''' 结果: Rick James Ronaldo ''' for循环 ​ for name in names: 类似于代表只要 name 在列表 names 范围内,就执行循环体中的操作,这里的 name 也可以起其他名字。在代码前加缩进用来表示循环体,只要在 for 语句之后带缩进的代码都是循环体执行的代码。 ​ 下面是一个循环里面执行多条语句的例子。 names = [ 'Rick' , 'James' , 'Ronaldo' ] for name in names : print ( name ) print ( "Thank you very much!\n" ) ''' Rick Thank you very much! James Thank you very much! Ronaldo Thank you very much! ''' ​ 一些需要注意的常见错误: 忘记对循环体内的语句进行缩进; 对非循环体内的语句进行了多的缩进; for语句末尾遗漏冒号。 数值列表 range() 函数 ​ 生成一系列数字。在括号里面可以写三个参数,前两个数字构成一个区间

数组操作函数总结

大城市里の小女人 提交于 2020-01-03 22:47:11
js中数组操作函数还是非常多的,今天忽然想到来总结一下,也算是温故而知新吧。不过不会针对每个办法都进行一下总结,只是针对一些比较常用的做个备注一下。 这里总结到的 js 数组操作函数有:push,pop,join,shift,unshift,slice,splice,concat push 和 pop 这两个函数都是对数组从尾部进行压入或弹出操作。push(arg1,arg2,...)可以每次压入一个或多个元素,并返回更新后的数组长度。注意如果参数也是数组的话,则是将全部数组当做一个元素压入到原本的数组里面去。pop() 函数则每次只会弹出结尾的元素,并返回弹出的元素,若是是对空组数调用 pop() 则返回undefined。 示例: var oldArr=[1,2,3]; alert(oldArr.push(4,[5,6]))//这里只会将[5,6]当做一个元素来策画,返回更新后的数组长度5 此时 oldArr = [1,2,3,4,[5,6]] oldArr.pop()//这里弹出最后一个元素[5,6],而不是6 此时 oldArr = [1,2,3,4] oldArr.pop()-->4 oldArr.pop()-->3 oldArr.pop()-->2 oldArr.pop()-->1 alert(oldArr.pop())-->undefined(空数组弹出)

James Munkres Topology: Lemma 21.2 The sequence lemma

落爺英雄遲暮 提交于 2020-01-02 00:08:57
Lemma 21.2 (The sequence lemma) Let \(X\) be a topological space; let \(A \subset X\). If there is a sequence of points of \(A\) converging to \(x\), then \(x \in \bar{A}\); the converse holds if \(X\) is metrizable. Proof a) Sequence convergence \(\Longrightarrow\) the limit point belongs to \(\bar{A}\). Let \(\{x_n\}_{n \in \mathbb{Z_+}}\) be a sequence of points in \(A\). When \(n \rightarrow \infty\), it converges to \(x\) topologically in \(X\). Then for all open set \(U\) containing \(x\), there exists an \(N \in \mathbb{Z_+}\), such that when \(n > N\), \(x_n \in U\). Hence \(U \cap A

1028 List Sorting (25 分)

老子叫甜甜 提交于 2019-12-24 06:06:59
1028 List Sorting (25 分) Excel can sort records according to any column. Now you are supposed to imitate this function. Input Specification: Each input file contains one test case. For each case, the first line contains two integers N (≤10​5​​) and C, where N is the number of records and C is the column that you are supposed to sort the records with. Then N lines follow, each contains a record of a student. A student's record consists of his or her distinct ID (a 6-digit number), name (a string with no more than 8 characters without space), and grade (an integer between 0 and 100, inclusive).

Apache James Learning Resources [closed]

房东的猫 提交于 2019-12-21 03:53:17
问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 2 years ago . The plan is to create a list of Apache James learning resources, involving a wide a range of aspects from setting it up to using API from java. If you read this and have some great tutorial at your fingertips, please drop a line or two. I'll start with The Official Apache James Wiki an article by IBM: Working

Apache James Learning Resources [closed]

倾然丶 夕夏残阳落幕 提交于 2019-12-21 03:53:06
问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 2 years ago . The plan is to create a list of Apache James learning resources, involving a wide a range of aspects from setting it up to using API from java. If you read this and have some great tutorial at your fingertips, please drop a line or two. I'll start with The Official Apache James Wiki an article by IBM: Working

pyspark.sql DataFrame创建及常用操作

▼魔方 西西 提交于 2019-12-20 03:59:48
Spark SQL 简介及参考链接 Spark 是一个基于内存的用于处理大数据的集群计算框架。它提供了一套简单的编程接口,从而使得应用程序开发者方便使用集群节点的CPU,内存,存储资源来处理大数据。 Spark API提供了Scala, Java, Python和R的编程接口,可以使用这些语言来开发Spark应用。为了用Spark支持Python,Apache Spark社区发布了一个工具PySpark。使用PySpark,您也可以使用Python编程语言处理RDD。 Spark SQL将 SQL和HiveSQL的简单与强大融合到一起。 Spark SQL是一个运行在Spark上的Spark库。它提供了比Spark Core更为高层的用于处理结构化数据的抽象. Spark DataFrame 派生于RDD类,分布式但是提供了非常强大的数据操作功能。 本文主要梳理Spark DataFrame的常用方法,之后写一下与DataFrame操作密切配合的Spark SQL内置函数 和 用户UDF (用户定义函数) 和 UDAF (用户定义聚合函数) pyspark.sql 核心类 pyspark.SparkContext: Spark 库的主要入口点,它表示与Spark集群的一个连接,其他重要的对象都要依赖它.SparkContext存在于Driver中,是Spark功能的主要入口