"I remember we had a very clear division of tactics at that time, First, adjust all the automatic rifles in hand to semi-automatic shooting mode, Of the 15 men, apart from the gunners and the bazookas, Most of the others use '81 bars', There are also a small number of 63 types, I'm using the 63, One of the characteristics of this gun and the 81-bar is that the single shot accuracy is especially good, Even better than '56 and a half', Much better than 56 Chong and some Mao Zi guns captured from the Vietnamese, At that time, in order to give full play to this advantage in precision, The company commander ordered us to use this tactic, The concrete implementation is to use heavy machine guns to suppress fire in hidden places, In addition to killing as many enemies as possible, If the enemy takes tactical actions such as lying down to avoid shooting, Then use machine gun fire to limit its movement range, That is to say, they are suppressed in situ, and then rifles are used to give full play to the advantage of high semi-automatic shooting accuracy, giving them "roll call" one shot at a time. This tactic is still very effective in dealing with the first and second large-scale attacks, with extremely high efficiency, and almost all the Vietnamese troops who came up were killed on the way to attack.
106. X.X.14
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.
白天的情形，你们那么多人反抗，葫芦哥哥还被他们打成重伤，若不是老鳖哥哥和板栗哥哥来了，死的就不是胡老大了，就是我们这边的人了。
Sky及HBO现正合拍新剧《Sally4Ever》，这部7集半小时剧由Julia Davis主创兼执笔，而且她与Catherine Shepherd﹑Alex Macqueen同为剧集主演。现正于英国拍摄中的《Sally4Ever》讲述女主Sally（Catherine Shepherd饰）是个即将升职的营销员，过去10年她与David（Alex Macqueen饰）过着舒适﹑平淡的郊区生活；然而在David向女主求婚的当晚，Sally却与Emma（Julia Davis饰）发生了外遇。Emma是个诱惑迷人﹑波希米亚风的演员﹑歌手﹑音乐家﹑诗人及作者，她迅雷不及掩耳下走进Sally的生活中，这令女主不禁想这究竟是否个错误。其他演员包括Julian Barratt﹑Joanna Scanlan﹑Mark Gatiss及Felicity Montagu。
身负重伤的王小龙因未能抛开心中的枷锁而不愿踏进
仙葩村少女刘金凤（辣目洋子 饰）意外接旨入宫成为东皓国皇后，在森严无趣的皇宫生活中激起了层层波澜。凭借着自信真诚的态度和乐观豁达的心态，金凤打消了皇帝段云嶂（李宏毅 饰）对她的怀疑。二人从误会斗气到相知相爱，联手粉碎了西玥国的阴谋，书写了一段欢喜冤家式的爱情童话。
电视剧《战金岭》由曹炳琨、马丽、武强等实力派演员领衔主演，正在北京怀柔景区紧张的拍摄中，讲述了一个足智多谋的党员诗人在穷山恶水的绝境中，历经两段凄美的旷世绝恋，智斗恶煞匪军和日本忍者团，最终与国民党在力量与信仰的对抗中胜利寻得黄金矿脉的故事。缠绵悱恻的爱情、惊心动魄的夺宝冒险奇遇、充满传奇色彩的英雄人物以及超强热播剧制作班底，令《战金岭》一开拍便吸引了各方关注。
我哪那么多事啊。
本剧讲述的是为复仇而与仇人家的男人结婚的女子后，后来发现妻子的秘密后展开另一个复仇剧的男人的故事。韩尚镇和裴秀彬将一同饰演男主人公，呈现他在发生事故并整容前后的不同样貌。
销售业绩为零的足立聪（工藤阿须加 饰）被迫和三轩家主任搭档，而他将见识到这个魔鬼女性神乎其神的一面……
The other is Huiye's super-large jade seeking Tao. This can't be sent, can it? The somebody else has long been a six-way model.
纽约最知名的男保姆金颐韩应邀回到韩国，接受采访。阴错阳差之下，他丢了钱包，失了身份，在走投无路的情况之下，只好委屈求全到单亲妈妈徐道英家担任保姆。面对道英家一双超有个性又难搞至极的小捣蛋姐弟，颐韩是否能发挥男保姆的超能力，一举收服这两个小恶魔呢？
等他走后，小灰才从刺架丛中钻出来，摇摇尾巴，在黑子倒下的地方嗅了嗅，然后循着院墙根追了一段，在一处地势较高的坡地上站定。
任我行押着杨莲亭，寻找东方不败的隐居之地。
我干啥？翘儿转头问道。
杰基，丈夫去世后的继承人，最终与整形外科医生凯文再次相爱。随着悲剧在她身边继续，凯文和她已故丈夫家人的秘密被邪恶地曝光了。
当时项羽借着拒绝韩信，来向自己使脸色，甚至将项梁之死的责任归结到自己头上。
小魔女顾胜男人生中最不可思议的事情，就是在惨遭失恋、失业双重打击后，等着王子骑着白马来拯救她，可谁料想这个王子竟是刁嘴又挑剔，毒舌且自大，升级版的“唐僧”，但是这个“唐僧”不吃素！毒舌又傲娇的吃货路晋与天才厨师顾胜男一见面就“相克、相煞”事故不断，却又每每被她精湛的手艺吸引。在这段鸡飞狗跳的相处过程中，两人宿命般地越靠越近。
曾经有人做过统计，现代社会每天就有78传说消失，有说因现代父母越来越忙，没时间跟小朋友说故事，亦有说因现代人已不再相信传说，更加不相信传说中的英雄曾经存在过。但不理世人相不相信，无论传说消失的速度有多快，有关马小玲、况天佑等人的传说，依然会永远流传下去，因为他们不单止真真实实的存在过，还曾在这世界留下欢笑，留下眼泪，更留下了一段段令人难以忘记的动人故事……
