想要看书，按一下按钮，书架自然会移动过来。
At the moment, let's do an experiment.
Use Python for data analysis: This book is a detailed version of Python's pandas package. Learn this to master some basic pandas commands. However, this is not the point, because pandas is too slow to produce a large amount of data and may collapse (I don't know if there is any improvement now-!) The point is, through studying this book, I feel a little about the data operation and am familiar with the basic data operation process. All the operations in this book can be replaced by native Python, and Pandas package is not needed. Finding feelings is very important.
《爱情密码》是中国首次尝试并实践拍摄关于“姐弟恋”题材的言情电视剧，由王永执导，王姬、冯绍峰主演。该剧讲述医生舒文的丈夫在与她结婚当晚因车祸而去世，从此舒文寄情于事业，个人感情处于压抑、克制状态。同窗好友林年生从大学开始就爱着舒文，但舒文对于他的追求始终不能心动。舒文在一个偶然的机会认识林年生的司机郝雷，一个年轻帅气的男孩。和舒文接触几次后，郝雷开始为舒文的神秘和女性的温柔气质所吸引而发生的感情故事。它从一桩八年前突发的命案入手，展现了一段错综复杂、缠绵悱恻的情感故事。且获2002年度上海地区电视剧收视第一。
该剧翻拍自同名英剧，讲述了证券公司清洁部职员偶然听到了内部交易后，投身到股价犯罪，意外收获了巨额，被践踏的自尊心逐渐得到恢复的女性故事。
与此同时，在国内陪伴父母的费奥娜公主也遇上了不小的麻烦，大反派“魅力王子”纠结了一帮海盗卷土重来，阴谋篡位，费奥娜组织了一支妇女自救队，童话中的公主、母后们悉数上场，展开了搞笑连连的正义之战，及时赶王国的史莱克一行四人，也参加到了队伍中，“另类”大决战的序幕也就此拉开。
There is still a gap with China.
This is our bounden duty, but also our duty.
《平凡的世界》根据路遥小说《平凡的世界》改编，由SMG尚世影业、华视影视、榆林文旅、上海源存影业、乐视网联合出品当代农村剧，并由毛卫宁执导，王雷、佟丽娅 、袁弘、李小萌、刘威、尤勇、夏铭浩等人主演。
Reference
Therefore, the opportunity and duration of the NPC and CPPCC reporters' questions are all very tight in the eyes of their peers. It is also because of this that conflicts among journalists in major conferences often occur.
本季故事从罗宾（寇碧·史莫德斯 Cobie Smulders 饰）和巴尼（尼尔·帕特里克·哈里斯 Neil Patrick Harris 饰）的婚礼说起。
Fire emergency
少年哭笑不得，又是心疼又是好笑，小声道：香儿妹妹，你这不等于都告诉我了嘛。
Uncle has gone to do his own thing, and Meng forced him to continue to consume your time....
For codes of the same length, theoretically, the further the coding distance between any two categories, the stronger the error correction capability. Therefore, when the code length is small, the theoretical optimal code can be calculated according to this principle. However, it is difficult to effectively determine the optimal code when the code length is slightly larger. In fact, this is an NP-hard problem. However, we usually do not need to obtain theoretical optimal codes, because non-optimal codes can often produce good enough classifiers in practice. On the other hand, it is not that the better the theoretical properties of coding, the better the classification performance, because the machine learning problem involves many factors, such as dismantling multiple classes into two "class subsets", and the difficulty of distinguishing the two class subsets formed by different dismantling methods is often different, that is, the difficulty of the two classification problems caused by them is different. Therefore, one theory has a good quality of error correction, but it leads to a difficult coding for the two-classification problem, which is worse than the other theory, but it leads to a simpler coding for the two-classification problem, and it is hard to say which is better or weaker in the final performance of the model.
