【2020年日剧番外】《顶尖手术刀 -天才护士的条件-》
Action: Point your hand to remind you.
From basic skills to methodology to character and mode of thinking, it is a process from "skill" to "Tao". However, unfortunately, many people blindly worship "Tao" and despise "Shu", but they do not know that the real Tao comes from the accumulation of Shu and the natural process from quantitative change to qualitative change. Without solid basic skills and systematic methodology, it is ignorant and opportunistic to talk about the so-called "philosophy, art and character" and rely on beautiful words and high-profile rhetoric to attract attention. Experience does not necessarily translate into theory, and scattered knowledge points do not necessarily rise to system integration. However, due to the lack of basic foundation and knowledge accumulation, the so-called "investment philosophy" can only be a joke. "Avenue to Jane" and "Avenue to Connect" are logically reasonable, because there are only a few great principles after high abstraction, but the difference between "technique" is very large because it is very meticulous. Therefore, what really troubles people is the process of combining and refining from art to Tao.
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.
1-Folium
90年代的农村励志剧，该剧通过杨柳两家的故事，展现出中国农村世世代代生生不息奋斗不止的精神和当代农民冲出历史的枷锁的创业史。剧中的柳山青（丁海峰饰演）与善良美丽的女孩柳絮的爱情故事令人感叹。从小青梅竹马的柳山青和柳絮，两情相悦，长大后都已到了谈婚论嫁的时候，才发现两人竟然是兄妹。善良的柳絮无法接受这个事实，想到了用死来逃避……
Owning Operator or Cloud Service Provider
当现代人类被泛娱乐的网络内容所遮蔽双眼，人们被封锁在看似丰富、实则重复的信息茧房中，越来越不关注身外之事。而世界上正在发生的一切正在悄无声息地进入并改变我们的生活。《明天之前》是一档以世界视野，从人类命运共同体的出发点，讨论整个人类族群共同面临的科技、社会、人文问题的纪录片。所选取的4个题材分别是：人类是否应该拥有退出生命的权利、机器人能否进入家庭成为人类的伴侣、正在逐渐到来的人类永生科技、不同群体的人类该如何相处。 腾讯新闻出品联合奥斯卡制作团队一起历经一年时间，到访了近20个国家，拍摄了包括世界顶级科学家、争议话题人物以及相关行业最具代表性的人物。影片中的故事和人物揭示了人类作为个体和群体可能将会去到的未来，以及人类文明即将遭遇的变革和重塑。明天永远都会变成今天，而身处今天的我们，永远都身在明天之前。
3. Destroy Shooting Power Ratio
注视着她轻声问道：你为什么不下手？我欠你一条命，现在又灭了南雀国。
这副模样，映衬着他身后黑褐色的崖壁，周围萦绕着丝丝袅袅的雾气，简直成了一副流动的活壁画。
该剧取材于中国特大民营企业横店集团，以横店集团创始人徐文荣和现任总裁徐永安等一批不甘贫困的两代人为创作原型，反映中国农村经济改革的历史变革。
“超人狗”的神秘起源其实来自于一次高科
天启的粉丝也在喊道。
虽然傲慢到家但却让人无法拒绝的魅力男人，生活中充满欺骗但却让人无法讨厌的可爱女人！从来没有过的角色冲突演绎了一出喜剧！这部爱情喜剧把以前在任何电视剧中都无法看到的、主人公们身上独一无二充满个性的魅力，通过男女主人公角色冲突的独特视角展现给观众朋友们。周幼琳是每次面临危机时都会以撒谎来化险为夷的济州岛观光导游。不管是什么性格的人，她都可以在10秒钟之内把他们变成自己的朋友，她表现出令人惊讶的亲和力，同时也具备五大洋六大洲不管在哪儿住生活方面不会受到影响的语言沟通能力。具备了令人惊讶的随机应变能力和厚脸皮演技的25岁观光导游周幼琳跟财阀二世薛功灿，俩人在偶然的情况中相遇，发生了一系列左冲右突的故事。
此时，杀父仇人疯牛——施祥庆回到上海，为了逼迫与曾经的爱人嘉欣重归于好，迫害传雄，给传雄扣上莫须有的卖国罪名。为救传雄，嘉欣迫不得已下嫁疯牛。但在新婚之夜，却发现暗害传雄的始作俑者就是疯牛。结果，在争斗中，嘉欣跌落天台而死。
(a) to obtain the second-level qualification of fire fighting facilities maintenance and testing institutions for more than three years, and there is no record of illegal practice in the three years prior to the date of application;
从未被劫的银行，三千万无记认钞票，引爆连环盗计。一群以梅雷亚（巴勃罗·施瑞博尔 饰）为首的高智罪犯，手法高超、火力强横、而且沉迷打劫；纵使犯案累累，却甚少破绽，令警方束手无策。一次押款车劫案后，他们的党羽唐尼（奥谢拉·杰克逊 饰）被辣手神探尼克（杰拉德·巴特勒 饰）识破，更从他身上知道匪帮下一个目标，是攻破从未遇劫的洛杉矶联邦储备银行，从中盗取三千万即将销毁的旧钞！于是尼克布下天罗地网，想趁机把他们一网成擒。然而，魔高一丈；梅雷亚以声东击西之法，引开警方注意。尼克错失擒获他们的良机，唯有尾随追击，双方展开连场枪战。虽然最终截获贼匪，但赃款竟全数不翼而飞！局中有局，究竟谁是取得巨款的幕后赢家？
Invoker.action ();
Of all American journalists, I think the most outstanding one is Haret Aban of the New York Times. Due to Aban's years of experience in China, his rather sophisticated treatment of people and his reputation as a Times, he has made quite a wide range of friends. He and Chiang Kai-shek's wife Song Meiling are also very close friends. He doesn't have to be like me. As a reporter of the Japanese News Agency, he has to be busy with the morning and evening reports every day. He just needs to pick up some important information and transmit it. So he is in an extremely advantageous position. Although I am in Shanghai, I have always been concerned about the U.S. Policy towards Japan and developments towards China, so I often exchange views and intelligence with Aban.
