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# Abbreviation Abbr Meaning ASAP as soon as possible FYI for your information BTW by the way AKA also known as DIY do it yourself TBD to be determined ETD estimated time of departure ETA estimated time of arrival # Phrases Phrase Meaning as you wish 如你所愿，随心所欲 sum up 总结；概述；计算… 的总数 stand...

# this 是什么 this 是执行当前函数的对象 (The object that is executing the current function) 以对象方法的形式调用 this 就是调用方法的对象 以普通函数的形式调用，this 在浏览器中是 window 对象，在 node 中是 global 对象 (实际也是 window /global 对象的方法) 以构造函数的形式调用，this 是构造函数创建返回的对象 回调函数也是以普通函数的形式调用 # 对象方法和普通函数中的 this 123456789101112131415161718192021const video =...

最远的旅行，是从自己的身体到自己的心，是从一个人的心到另一个人的心。坚强不是面对悲伤不流一滴泪，而是擦干眼泪后微笑面对以后的生活。- 宫崎骏 《风之谷》 # number and text Determines if a string is palindrome, such as abcba Find all even number location letter in a string, such as "abcd" =>...

# maven compiler maven project 在 vscode settings.json 中设定了 runtimes, bottom status bar 仍然显示使用 SDK 1.5, 并且无法使用高版本特性 12345678910"java.configuration.runtimes": [ { "name": "JavaSE-13", "path": "C:/Program...

I can’t be a savior. If I save one’s life, i am required to save others. Once I fail to save everyone, the world will call me hypocritical. - Strive to live in this world # 下载 html 并转换为...

# 测试 12345678910111213141516171819202122232425262728293031323334import inspectdef a(a, b=0, *c, d, e=1, **f): passaa = inspect.signature(a)print("inspect.signature(fn)是: %s" % aa)print("inspect.signature(fn)的类型是: %s" %...

# 分词 1234567891011121314import jiebaseg_list = jieba.cut("我来到北京清华大学", cut_all=True)print("Full Mode: " + "/ ".join(seg_list)) # 全模式seg_list = jieba.cut("我来到北京清华大学", cut_all=False)print("Default Mode: " +...

# load csv 123456789101112131415161718192021222324252627282930313233343536373839import pandas as pdimport matplotlib.pyplot as pltdf = pd.read_csv('data.csv')# 打印前几条数据# print(df.head())''' Date Value0 2016-06-30 64.01 2016-05-31 163.02 2016-04-30 118.03...

# 创建对象 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051521. 通过传递一个list对象来创建一个Series，pandas会默认创建整型索引import pandas as pdimport numpy as nps = pd.Series([1,3,5,np.nan])# print(s)# 0 1.0# 1 3.0# 2 5.0# 3 NaN# dtype: float642. 通过传递一个numpy...