十三岁的黎璃在进入初中的第一天就注意到了这个帅气且玩世不恭的少年裴尚轩，他像一缕阳光温暖了黎璃的生活。这对相貌平凡的女生与外表英俊的男生，品学兼优的女生与成绩倒数的男生之间注定不会是令人羡慕的佳偶天成。
//Set the second state
都说女大十八变。
清代雍正夺位后，暴虐寡恩，大兴“文字狱”。大学士吕留良、查嗣庭两家遭来族之灾。幸存的吕留良之女吕四娘凭着高超的武艺取下雍正的人头，祭奠屈死的父亲和珉山派的叔叔伯们。她为躲避追杀，带侄女吻妹、查家后代仇英和孤儿王显，隐居在登州蓬莱齐云山下。
毕业于舞蹈系的丹丝兰（林秀香 饰）气质出众，因为一次偶然的机会，在为别人表演舞蹈的过程中邂逅了富家公子亚多模（成勋 饰），两人一见钟情。在日后的聚会上，又一次相遇，丝兰对亚多模动心不已，但家境不好的丝兰不敢高攀。丝兰出众的舞技迎来了芙蓉阁的瞩目，而芙蓉阁正是提供妓生的地方，在这里丝兰的命运得到了转变，也和亚多模一起步入了婚姻的殿堂。可故事这才刚刚开始，婚后的家庭生活对于丝兰又是一个新的挑战……
You can see the difference between the modified and the pre-modified, As shown in the following figure: Three, the problem in the experiment Question 1: At first, when I chose the experimental website, I chose the rebate website. It is also a website that does not need to enter a verification code to log in: but when I intercepted the page login information, I found that the website did not respond to the login key I pressed and did not make any jump, so I did not intercept any login information. Is this the defensive measure taken by the website to prevent replay attacks? What is the principle? Question 2: I don't think the interception and use of BurpSuite software is very successful. If it is really used as an attack method, I think it is too easy to be discovered by the attacker, or what is wrong with my use?
现实世界中的外科医生吴妍珠（韩孝周 饰）听说了身为著名漫画家的父亲失踪的消息，于是赶到父亲的工作室寻找线索，偶然地进入了人气漫画《W》的世界。2016年的首尔，相同的空间、不同的次元，与漫画男主人公姜哲（李钟硕 饰 ）在现实与虚幻中交错展开的悬疑浪漫爱情故事。
该剧讲述了明星申骏逸和学霸助理苏颜，在娱乐圈的浮浮沉沉中，携手并肩，披荆斩棘，却又陷身神秘阴谋的故事。
Netflix宣布其首部自家制片的多镜头新喜剧﹑以青少年为目标的《Alexa & Katie》13集首季于美国时间3月23日上线，该喜剧由Paris Berelc及Isabel May主演。 《Alexa & Katie》由Heather Wordham主创﹑Matthew Carlson负责制片，讲述两个长年好友Alexa（Paris Berelc）及Katie（Isabel May），她们正热切期待成为高校新生，但一些风波弄得她们自觉成了圈外人，然而重要的是好友还在身边。Alexa目前正在接受化疗，但这没动摇她外向的性格及对生活的热情，而Katie是个忠于朋友﹑性格古怪的可爱女生。
当温厚的盾面对卑劣的矛，当父亲是那个盾儿子是那个矛，会怎样？
TNT 6集限定剧《我即黑夜 I Am The Night 的新描述》由《神奇女侠 Wonder Woman》导演Patty Jenkins执导﹑其丈夫Sam Sheridan执笔，根据Fauna Hodel所著自传改篇。该剧描述在1949年时，Fauna Hod el被尚为少女的生母抛弃给内华达赌场的一位黑人洗手间服务员；后来Fauna开始调查自己的神秘过去，并沿着踪迹接近臭名昭着的好莱坞妇产科医生George Hodel，这人因为是「黑色大理花悬案」的嫌疑犯之一而最为人所共识。India Eisley饰演绰号Pat的女主Fauna Hodel，内华达州内诺市长大的正调查自己的神秘过去﹑Jefferson Mays饰演George Hodel，前神童的他后来当上了医生。Yul Vazquez饰演Billis，不可靠的洛杉矶警长，为上头解决问题的他身陷腐败及利益的泥沼里﹑Justin Cornwell饰演Terrence Shye，有才华的他只能Watts社区里当技工学徒。Dylan Smith饰演艺术家Sepp，他被内疚及悲剧所扭曲﹑Jay Paulson饰演前韩战老兵，现任洛杉矶警探的Ohls，以前被Jay Singletary救了一命﹑Golden Brooks饰演Jimmy Lee，Fauna的前酒廊歌手母亲。Chris Pine饰演Jay Singletary，前海军陆战队的他转当记者/狗仔队，他过去因为写了关于George Hodel的故事而蒙羞，但现在他瞧见了救赎的可能。虽然这对他是难得的希望，不过当Jay深入研究George Hodel的邪恶内心时，这将会影响到他本人。Leland Orser饰演洛杉矶时报的夜间总编辑Peter Sullivan，尽管他玩世不恭﹑高度酗酒﹑爱扯黑色幽默﹑有时还充满失意，但他仍然热爱着报章；愤世嫉俗的他已看透了人性的脆弱及堕落，而且改变不了现实的「真相」更叫他失望，但心底里他还是对「真相」保持着希望。
Yu Ying told Yishang to leave before his feelings deepened. Yishang said that love had just begun and he would wait for her. Xuan Cha gave Kezi money to let her buy some tonic. She felt lost after seeing Kezi give the money to her health. Patrol officers dissatisfied with their health hid the rice in the rice cooker. Small rate deliberately Qi Kezi wants to lose weight, Kezi gets angry with Youmei when he comes back. After returning home drunk, he was blamed by the patrol police and ran out of the house with tears in his health. Yi Shang found Cai Xiu and his fiancee kissing in a formal dress while performing official duties.
AMC剧集《广告狂人》的情景设置在二十世纪六十年代的纽约。在充斥着性，固化以及极富煽动力的生活模式下，一群男男女女们干劲十足，勇于竞争，即使撞得头破血流也依旧在麦迪逊大街书写着他们的广告传奇。那是一个被利益驱使着的世界，广告精英们的故事一直在继续。
For those who are included in the list of joint disciplinary targets for dishonesty, relevant information will be uploaded to the national credit information sharing platform and credit information sharing platforms at all levels to implement joint disciplinary action. If a dishonest subject applies for credit repair, it shall be implemented in accordance with the relevant provisions.
Finally, it is "standardized"
VividLight
灵川门守护乾坤扇（其实是乾扇）已然近百年。灵川门下子弟寥寥，仅剩慕云和芊裁缝。芊裁缝顽劣，无意间发现乾扇可以往来时空。她穿越数百年来到现代玩耍，发现和自己长得一模一样的小芊，并和小芊成了朋友。秘密浮出水面，冒险亟待发生。
死了，要不然我肯定能帮你找来《九阳神功》。
Deep Learning with Python: Although this is another English book, it is actually very simple and easy to read. When I worked for one year before, I wrote a summary (the "original" required bibliography for data analysis/data mining/machine learning) and also recommended this book. In fact, this book is mainly a collection of demo examples. It was written by Keras and has no depth. It is mainly to eliminate your fear of difficulties in deep learning. You can start to do it and make some macro display of what the whole can do. It can be said that this book is Demo's favorite!
B. Women: singles, doubles
