python安装及入门学习

python安装及入门学习

python安装：http://www.jianshu.com/p/b8a703df5318

然后再安装一个pycharm就能在这个集成开发环境中写python代码了：http://www.jetbrains.com/pycharm/download/#section=windows

以上安装都是很方便的

学习python的主要目的：自己的研究课题是大数据自然语言处理这块，希望用python自带的一些模型来完成课题。目前用python成功的运行了word2vec模型。现在还处于学习的起步阶段，所以想记录下自己学习过程，同时也区分一下这门高级语言与其他语言的不同。因为我以前擅长的语言是java，现在为了研究的需要，转而来研究python。

python初步学习

这是关于word2vec

#! -*- coding=utf-8 -*-from gensim.models import word2vecimport logging# 主程序logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)sentences = word2vec.Text8Corpus(u"C:\/Users\/yaojuan2\/Desktop\/text8") #加载语料#模型初始化model = word2vec.Word2Vec(sentences, size=200) #训练skip-gram模型; 默认window=5model2 = word2vec.Word2Vec("hello wrold! hello The training algorithms were originally ported from the C package", size=100, window=5, min_count=5, workers=4)print "--------/n"print "--------/n"y1 = model.similarity("woman", "man")print u"woman和man的相似度为：", y1print "--------/n"print "--------/n"y2 = model.most_similar("good", topn=20)  # 20个最相关的print u"和good最相关的词有：/n"for item in y2:    print item[0], item[1]print "--------/n"print "--------/n"print ' "boy" is to "father" as "girl" is to ...? /n'y3 = model.most_similar(['girl', 'father'], ['boy'], topn=3)for item in y3:    print item[0], item[1]print "--------/n"print "--------/n"y4 = model.doesnt_match("breakfast cereal dinner lunch".split())print u"不合群的词：", y4print "--------/n"print "--------/n"y5 = model.init_sims()#model.save('/tmp/text8.model')#model.save_word2vec_format('/tmp/text8.model.bin', binary=True)#model = word2vec.Word2Vec.load_word2vec_format('/tmp/vectors.bin', binary=True)print "--------/n"print "--------/n"model.most_similar(['girl', 'father'], ['boy'], topn=3)print "--------/n"print "--------/n"more_examples = ["he his she", "big bigger bad", "going went being"]for example in more_examples:    a, b, x = example.split()    predicted = model.most_similar([x, b], [a])[0][0]    print "'%s' is to '%s' as '%s' is to '%s'" % (a, b, x, predicted)print "--------/n"print "--------/n"y6=model.wv['computer']  # numpy vector of a word#输出词向量print y6