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小葱问道：秋霜姑娘。曾经的恩爱夫妻如今竟阴阳相隔，留下的是丈夫随身携带的一把保险柜钥匙和一个令人费解的写着数字的信封，是自杀？还是有阴谋的他杀？曾经一夜成名的著名舞蹈演员竟被公安在扫黄打非的行动中抓获，不为人知的还有她过去三年不堪回首的经历，是迫不得已？还是另有内情？曾经被男人传染艾滋病的无辜的女子，竟正实施着以同样方式报复所有男人的报复计划，吸毒、贩毒；引发艾滋病蔓延的丑行毁灭着人的心灵和身体，刚刚康复走出戒毒所的漂亮女孩又复吸险些送命。国民党军医彭天戈的父亲彭振才（张铁林饰）受政府秘密委派，假意投敌。彭天戈（高云翔饰）为证明父亲清白，遭日本特务陷害，被判死刑。民间爱国锄奸组织头领火麒麟将其救下，并将彭天戈培养成令敌、伪胆寒的顶尖杀手。共产党地下特工宋卓凝（吕夏饰）利用分享者电视军统情报人员的身份多次搭救彭天戈，引导彭天戈走上革命道路，并与之产生感情。由于背负罪名，彭天戈与昔日恋人柳沉雪无法相认。柳沉雪遂与另一江湖杀手杜善起走到了一起。杜善起为日本皇族后裔，被爱国义士杜定海从小收养，却唯利是图。柳沉雪的真实身份是日本特务，她将杜善起推入了日伪的怀抱，沦为特务鹰犬。于是，彭天戈与杜善起在战场上几番较量。最终柳沉雪逃不脱情殇，为救彭天戈丧命。最后一场厮杀中，一对杀手冤家的角逐分出了胜负，杜善起被彭天戈铲除。彭天戈带着重伤的宋卓凝和父亲前往延安。Buckeye flowers have different colors, generally yellow, orange and pink. Why do flowers of the same plant have three colors? This is actually the way Buckeye flowers tell bees and bumblebees whether they are popular at this moment. Those flowers with nectar and waiting to be pollinated will appear yellow, which is an irresistible color for insects. When pollination is over, the flowers will slowly turn red, because bees and bumblebees cannot see red, thus the flowers will disappear in their eyes.尘世里，生死同，一诺重千金2. As a Cheng Yuan who has been engaged in machine learning for more than two years, seeing the computer series you recommended also thinks it is very unreliable. I have read most of the books you recommended. In particular, novice readers are not recommended to read "Introduction to Algorithms" and "Data Mining: Concepts and Technologies". These two books are thick and heavy. Although the content is also good, you will not know the year of the monkey when you finish reading them. What does a novice need? It's getting started! Secondly, have you really finished reading Python Core Programming? This book is not for Python newcomers. It is very thick and difficult. It is very unfriendly to newcomers. And if you just want to be AI, then many parts of this book don't need to be used. Is web development and Django framework really necessary for our AI engineers? No. Xiao Bai has no distinction between key and non-key points in a book. He spent a lot of time learning unnecessary knowledge, which really does more harm than good. Giving guiding and targeted recommendations is responsible recommendation.