1月23号,报名Wall Street English!…

determiner  限定词 DET propernoun 专有名词 NP (or noun phrase) mass noun 不可数名词 Det Nouns 限定词名词 relative pronoun 关系代词 transitive verbs 及物动词 intransitive不及物 conjunction 连词 10.1Constituency noun phrase:groups of words behaving as a single units, or constituent…

2017/11/24 Regardless of the enormous amount of photos shared on Wechat or Face book, modern city dwellers grow detached from their immediate surroundings and fail to realize that codes and digits can never provide the human touch that we yearn for.…

Java I/O and NIO.2---Five ways to maximize Java NIO and NIO.2---Build more responsive Java applications with the New Input/Output APIs Java NIO -- the New Input/Output API package-- was introduced with J2SE 1.4 in 2002. Java NIO's purpose was to impr…

This Chapter outlines the logical steps to writing a good research paper. To achieve supreme excellence or perfection in anything you do, you need more than just the knowledge. Like the Olympic athlete aiming for the gold medal, you must have a posit…

Java NIO -- the New Input/Output API package-- was introduced with J2SE 1.4 in 2002. Java NIO's purpose was to improve the programming of I/O-intensive chores on the Java platform. A decade later, many Java programmers still don't know how to make th…

如下是<Python Text Processing with NLTK 2.0 Cookbook>一书部分章节的代码笔记. Tokenizing text into sentences >>> para = "Hello World. It's good to see you. Thanks for buying this book." >>> from nltk.tokenize import sent_tokenize >&g…

import news_cnn_model import numpy as np import os import pandas as pd import pickle import shutil import tensorflow as tf from sklearn import metrics learn = tf.contrib.learn REMOVE_PREVIOUS_MODEL = True MODEL_OUTPUT_DIR = '../model/' DATA_SET_FILE…

Chinese investors have been snapping up real estate in the world's most important cities this year. While it's easy to dismiss rich foreign buyers as the dumb money in any market, these investors are taking a sensible approach. Real-Estate:不动产,房地产 sn…

Series的简单运算 import numpy as np import pandas as pd s1=pd.Series([1,2,3],index=['A','B','C']) print(s1) 结果: A 1 B 2 C 3 dtype: int64 s2=pd.Series([4,5,6,7],index=['B','C','D','E']) print(s2) 结果: B 4 C 5 D 6 E 7 dtype: int64 print(s1+s2)#对应的index相加,NaN…