英文字典中文字典


英文字典中文字典51ZiDian.com



中文字典辞典   英文字典 a   b   c   d   e   f   g   h   i   j   k   l   m   n   o   p   q   r   s   t   u   v   w   x   y   z       







请输入英文单字,中文词皆可:

mirthful    
a. 愉快的,高兴的

愉快的,高兴的

mirthful
adj 1: full of or showing high-spirited merriment; "when hearts
were young and gay"; "a poet could not but be gay, in
such a jocund company"- Wordsworth; "the jolly crowd at
the reunion"; "jolly old Saint Nick"; "a jovial old
gentleman"; "have a merry Christmas"; "peals of merry
laughter"; "a mirthful laugh" [synonym: {gay}, {jocund},
{jolly}, {jovial}, {merry}, {mirthful}]
2: arousing or provoking laughter; "an amusing film with a
steady stream of pranks and pratfalls"; "an amusing fellow";
"a comic hat"; "a comical look of surprise"; "funny stories
that made everybody laugh"; "a very funny writer"; "it would
have been laughable if it hadn't hurt so much"; "a mirthful
experience"; "risible courtroom antics" [synonym: {amusing},
{comic}, {comical}, {funny}, {laughable}, {mirthful},
{risible}]

Mirthful \Mirth"ful\, a.
1. Full of mirth or merriment; merry; as, mirthful children.
[1913 Webster]

2. Indicating or inspiring mirth; as, a mirthful face.
[1913 Webster]

Mirthful, comic shows. --Shak.
[1913 Webster] -- {Mirth"ful*ly}, adv. --
{Mirth"ful*ness}, n.
[1913 Webster]


请选择你想看的字典辞典:
单词字典翻译
mirthful查看 mirthful 在百度字典中的解释百度英翻中〔查看〕
mirthful查看 mirthful 在Google字典中的解释Google英翻中〔查看〕
mirthful查看 mirthful 在Yahoo字典中的解释Yahoo英翻中〔查看〕





安装中文字典英文字典查询工具!


中文字典英文字典工具:
选择颜色:
输入中英文单字

































































英文字典中文字典相关资料:


  • What Is NoSQL? NoSQL Databases Explained | MongoDB
    Learn what a NoSQL database is, why (and when!) you should use one, and how to get started using one
  • What Is A Non-Relational Database? | MongoDB
    The main difference between these is how they store their information A non-relational database stores data in a non-tabular form, and tends to be more flexible than the traditional, SQL-based, relational database structures It does not follow the relational model provided by traditional relational database management systems
  • Managed Databases - MongoDB
    Managed database services have become common for all kinds of purposes—from food delivery apps to e-commerce businesses to Google searches While managed databases come in many forms, two main categories are often discussed: relational (usually SQL-based) and non-tabular or non-relational (non-SQL databases) often grouped under the NoSQL
  • NoSQL Visualization Tools | Visualizing Big Data | MongoDB
    You can visualize a NoSQL database using a tool that natively supports non-tabular data, such as MongoDB Charts and Knowi You can also use the MongoDB Connector for Business Intelligence to connect to a BI tool
  • Advantages Of NoSQL | MongoDB
    Discover the advantages of using a NoSQL database and how NoSQL is a more scalable solution for modern applications for developers
  • NoSQL Vs SQL Databases | MongoDB
    The reason it is called NoSQL is to emphasize that these databases can handle non-tabular, non-relational data models as well as support SQL-like query languages What is unstructured data? Unstructured data is data that doesn't have a predefined data model or consistent organization
  • NoSQL 데이터베이스를 평가할 때 가장먼저 고려해야 할 5가지 사항 | MongoDB
    NoSQL 데이터베이스를 평가할 때 가장먼저 고려해야 할 5가지 사항 관계형 데이터베이스와 비교했을 때 많은 비정형 (Non-tabular) 'NoSQL' 시스템은 공통적으로 더 유연한 데이터모델, 더 우수한 확장성, 우월한 성능을 비롯해서 여러가지 중요한 특징을 보입니다
  • What Is Unstructured Data? | MongoDB
    Unstructured data is information that isn't stored in a specific format It can contain images, audio, or documents Learn more in our guide
  • Structured Vs. Unstructured Data: An Overview | MongoDB
    Learn the differences between structured versus unstructured data, how they are used, and which are the most common tools to access this data
  • Resources - MongoDB
    In this paper, we describe these dimensions and show why MongoDB is the most widely used non-tabular database in the market This guide explains how to migrate from a relational database to MongoDB and the relevant technical considerations, such as differences between the tabular and document data models, and the implications for schema design





中文字典-英文字典  2005-2009