dictionary

Python 入门系列 —— 14. List 集合的 CURD 介绍

我们两清 提交于 2021-01-08 16:57:18
访问 List 中的项 因为 List 默认是被索引的,你可以通过 下标 的方式对 list 进行访问,如下代码所示: thislist = [ "apple" , "banana" , "cherry" ] print(thislist[ 1 ]) 负数索引 负数索引意味着 从后往前 计算,比如说: -1 表示最后一项 -2 表示倒数第二项 举个例子如下: thislist = [ "apple" , "banana" , "cherry" ] print(thislist[ -1 ]) PS E:\dream\markdown\python> & "C:/Program Files (x86)/Python/python.exe" e:/dream/markdown/python/app/app.py cherry 范围索引 你可以通过指定 start 和 end 的值来表示一个索引范围,指定好了范围之后,将会从集合中切出一个新的集合,如下代码所示: thislist = [ "apple" , "banana" , "cherry" , "orange" , "kiwi" , "melon" , "mango" ] print(thislist[ 2 : 5 ]) PS E:\dream\markdown\python> & "C:/Program Files (x86)

探索Redis设计与实现2:Redis内部数据结构详解——dict

怎甘沉沦 提交于 2021-01-07 08:45:33
本文转自互联网 本系列文章将整理到我在GitHub上的《Java面试指南》仓库,更多精彩内容请到我的仓库里查看 https://github.com/h2pl/Java-Tutorial 喜欢的话麻烦点下Star哈 文章首发于我的个人博客: www.how2playlife.com 本文是微信公众号【Java技术江湖】的《探索Redis设计与实现》其中一篇,本文部分内容来源于网络,为了把本文主题讲得清晰透彻,也整合了很多我认为不错的技术博客内容,引用其中了一些比较好的博客文章,如有侵权,请联系作者。 该系列博文会告诉你如何从入门到进阶,Redis基本的使用方法,Redis的基本数据结构,以及一些进阶的使用方法,同时也需要进一步了解Redis的底层数据结构,再接着,还会带来Redis主从复制、集群、分布式锁等方面的相关内容,以及作为缓存的一些使用方法和注意事项,以便让你更完整地了解整个Redis相关的技术体系,形成自己的知识框架。 如果对本系列文章有什么建议,或者是有什么疑问的话,也可以关注公众号【Java技术江湖】联系作者,欢迎你参与本系列博文的创作和修订。 <!-- more --> 如果你使用过Redis,一定会像我一样对它的内部实现产生兴趣。《Redis内部数据结构详解》是我准备写的一个系列,也是我个人对于之前研究Redis的一个阶段性总结

MySQL与Unity的基本交互(借鉴大神,仅作为笔记用)

谁说胖子不能爱 提交于 2021-01-07 08:12:48
一.准备工作 (1)Unity2018.3.14使用MySQL需要导入以下dll文件,注意文件的.net版本。 Renci.SshNet / MySql.Data / Google.Protobuf / BouncyCastle.Crypto (2)进行交互前了解数据库基本的增删改查语句 ->增:insert into 表名 (数据1,数据2,数据3,......) values ('值1','值2','值3',......) ->删:delete from 表名 where 限制条件 ->改:update 表名 set 目标值 where 限制条件 ->查:select 数据1 from 表名 where 限制条件 ->建表:create table 表名 (数据1 类型,数据2 类型,数据3 类型,......) ->删表:drop table 表名 (3)新建脚本注意引入命名空间 二.脚本编写 (1)数据库功能封装(可以将核心sql语句一并进行封装,然后在调用时传参,这里为了提高可读性只封装基本实现方法) public class SqlAccess { public static MySqlConnection mySqlConnection; //数据库名称 public static string database = "daybreak"; //数据库IP

Flattening a nested dictionary with unique keys for each dictionary?

北城余情 提交于 2021-01-07 05:03:29
问题 I have a dictionary that has the following format: ´´´{'7453': {'2H': {'1155': {'in': [{'playerId': 281253}, {'playerId': 169212}], 'out': [{'playerId': 449240}, {'playerId': 257943}]}, '2011': {'in': [{'playerId': 449089}], 'out': [{'playerId': 69374}]}, '2568': {'in': [{'playerId': 481900}], 'out': [{'playerId': 1735}]}}}, '7454': {'1H': {'2833': {'in': [{'playerId': 56390}], 'out': [{'playerId': 208089}]}}, '2H': {'687': {'in': [{'playerId': 574}], 'out': [{'playerId': 578855}]}, '1627': {

Count frequency of dictionary words within a column and generate new “dictfreq” column

左心房为你撑大大i 提交于 2021-01-07 02:16:17
问题 Seems like a simple command, but i cannot seem to find a good way generate this in R. Basically, I just want to count the frequency of each word in a dictionary, dict, within another dataframe's column, wordsgov: dict = "apple", "pineapple","pear" df$wordsgov = "i hate apple", "i hate apple", "i love pear", "i don't like pear", "pear is okay", "i eat pineapple sometimes" desired output: new frequency ranking, showing all words in dict according to their frequency within df$wordsgov dict freq

Count frequency of dictionary words within a column and generate new “dictfreq” column

試著忘記壹切 提交于 2021-01-07 02:16:08
问题 Seems like a simple command, but i cannot seem to find a good way generate this in R. Basically, I just want to count the frequency of each word in a dictionary, dict, within another dataframe's column, wordsgov: dict = "apple", "pineapple","pear" df$wordsgov = "i hate apple", "i hate apple", "i love pear", "i don't like pear", "pear is okay", "i eat pineapple sometimes" desired output: new frequency ranking, showing all words in dict according to their frequency within df$wordsgov dict freq

Standardized US States and Canadian Provinces Java Map

别等时光非礼了梦想. 提交于 2021-01-07 01:36:35
问题 I need a Java dictionary to look up full state and province names from North American state and province abbreviations. For example, "TX" --> "Texas", "NS" --> "Nova Scotia". I found the C# versions here: Standardized US States Array and Countries Array What is the Java version using the Map collection? 回答1: Here is the Java dictionary, mapping US state and Canadian province abbreviations to full names, adapted from the C# versions mentioned in the question. It uses static initialization for

Python code question 3

人走茶凉 提交于 2021-01-06 11:54:16
Question 3 Level 1 Question: With a given integral number n, write a program to generate a dictionary that contains (i, i*i) such that is an integral number between 1 and n (both included). and then the program should print the dictionary. Suppose the following input is supplied to the program: 8 Then, the output should be: {1: 1, 2: 4, 3: 9, 4: 16, 5: 25, 6: 36, 7: 49, 8: 64} Hints: In case of input data being supplied to the question, it should be assumed to be a console input. Consider use dict() Solution: #!/usr/bin/env python # encoding: utf-8 ''' @author: @contact: @software: @file: q3

难怪都去搞Python,这也太壕了!

最后都变了- 提交于 2021-01-05 22:18:13
不久前,清华大学经管学院发布了《中国经济的数字化转型:人才与就业》的报告,根据报告显示,当前我国大数据领域人才缺口高达150万,到2025年将达到200万。 数据来源:2019年中国AI&大数据人才大数据人才就业报告 这份报告 对国家而言 ,是提前规划、提前布局的参考, 对企业而言 ,是切入下一赛道的征兆, 而对于普通人而言, 则是一个机会,一个能够获得快速晋升,甚至实现财富自由的机会。 细数现在国内的互联网产品,淘宝电商老大地位不可动摇;腾讯则牢牢占据社交、游戏大部分份额;抖音、快手引领短视频风潮…… 这些公司除了占据行业先发优势之外,完备的数据也是它们成功的重要原因,甚至有人笑称, 比你更了解你自己的不是你妈,而是这些公司。 如果把数据比作企业发展的“石油“,那么掌握 如何将其提炼为可使用的情报 就是发挥其潜力的关键。 “我知道客流量在最近一个月减少了30%,所以该怎么办呢?” “模型预计本月销售额增长30%,我只要维持现状就能稳定增长吗?” “我有过去一年几万条的销售记录,这些记录能发挥什么作用呢?” 这些数据说明了什么,到底我要怎么做,通过这些数据得到结论是企业最迫切的事情。 会“分析“的人很多,但能从繁杂的数据中得到具体结论的 商业数据分析人才 却是凤毛麟角。 现在用人市场上每一个商业数据分析的人才都能引起各大公司争夺,甚至有公司开出了令人瞠目结舌的“ 天价 “。

Generate typed dictionary with a for loop using a new type as key but without using `?` to mark undefined in TypeScript

浪尽此生 提交于 2021-01-05 08:56:58
问题 The problem is that I want to use a new type as key for a dictionary but I want to dynamically generate the entries using a loop. But I will prefer not to use ? operator because I know I'll fill all keys and I don't want to force ! evaluation for each call. const studentList = [ A, B, C, // many many students ] as const; type Students = typeof studentList[number]; // class Info(); // some properties like grades and teacher const studentInfo: { [key in Students]: Info }; // won't work const