aWe think that it would fit our market if your prices is good. Please quote us your best price for it.We look forward to hearing from you soon. 我们认为它将适合我们的市场,如果您的价格是好。 请引述我们您的最佳的价格为它。我们盼望很快收到你的来信。[translate]...
a1000件FOB的价格是 1000 FOB prices are [translate] athis 13th day of spetember,2011 这第13天spetember, 2011年 [translate] a你喜欢和什么饮料? What drink do you like with? [translate] awe can live nicely 我们可以恰好居住 [translate] a行动是最好的语言 The motion is the best language [...
Shoes for prices ranging from $ 100 to $ 300 翻译结果4复制译文编辑译文朗读译文返回顶部 Shoes from the price ranges from $100 to $300 翻译结果5复制译文编辑译文朗读译文返回顶部 The shoe price does not wait from 100 US dollars to 300 US dollars ...
aif may not separate,let me what price to pay 如果不可以分离,让我什么价格支付[translate] a这些能源可以再生 正在翻译,请等待... [translate] athe government may control prices when where is a problem such as rapidly increasing rents or a rise in the cost of living the government may control...
Price?价格 32 Unit?7?Counteroffer?还盘 39 Unit?8?Discount?and?Commission?折扣和佣金 48 Unit?9?Business?Representation?代理 54 Unit?10?Insurance?保险 65 Unit?11?Acceptance?接受 72 Unit?12?Terms?of?Payment?支付条款 81 Unit?13?Packing?包装 89 Unit?14?Shipment?装运 98 Unit?15?Claim?索赔 ...
=googlefinance("asx:bhp", "price")这适用于必和必拓。 =googlefinance("INDEXASX: XAO", "price")这对XAO不起作用。 浏览13提问于2018-12-18得票数 1 回答已采纳 2回答 back/lays值就像在betfair网站上一样 、、 在使用betfair时,getMarketPricesCompressed和getMarketPrices会返回市场上每个零头的真...
a这一次才是货真价实的七夕。 This is the genuine goods at reasonable prices seventh night of the seventh lunar month.[translate] a另一方面他认为资产组合分散化倾向、友好国家出于外交目的而使用资金的政治因素及纯粹的个人偏好等其它因素也影响资本跨境流动。 On the other hand he thought the property com...
spring-boot-starter-freemarker是一个用于在Spring Boot应用中集成Freemarker模板引擎的起步依赖。它提供了一组默认配置和依赖,使得在Spring Boot...
求积分之后变成: S_t=S_0+\int_{0}^{t}\alpha(S_u,u)du+\int_{0}^{t}\sigma(S_u,u)dW_u ,其中 \int_{0}^{t}\sigma(S_u,u)dW_u 需要使用Ito Integral进行积分。 1 Ito Integral Definition 写成differential form: dI_t=X_tdW_t Ito Integral proposition: Ito Integral 和 martingale...
'SalePrice'], axis=1) # 找出所有的数值型变量 numeric_dtypes = ['int16', 'int32', 'int64', 'float16', 'float32', 'float64'] numeric = [] for i in all_features.columns: if all_features[i].dtype in numeric_dtypes: numeric.append(i) # 找出明显偏态的数值型变量...