Know the principle man: Very good, your experience value has improved a lot. However, we can't start fighting monsters yet. After all, no monster can be directly sprayed to death. You lack tools. Then at this stage, we need to strengthen our programming ability. First find a framework to come down, read the source code, what? You said you can't read the source code, it doesn't matter, there are a lot of experience reading the source code online. Of course, the basis of these experiences is without exception: read more and write more. On this basis, find trick again. After the source code of the framework is set down, change some codes to run, debug them, and then constantly find out the reason to see how each API is written, and try to write it yourself. Write more and practice more. After 30 years of hard coding, you will definitely get something.
User1. Work ();
王治乾声音中有着难以压抑的兴奋，《寻秦记》的均定已经达到了56万，最新一章才出来不到三四个小时，已经有接近50万人订阅了。
Leave a message and take up a place ~
Cat's Eye colleague is in the direction of trading. She is looking at GMV. I am in charge of user products, so in her eyes I produce content, so I do content.
花无缺努力让自己保持微笑，说道：你没有做错什么，不需要说对不起。
半岛大厦天井，警员徐泰被发现时身负重伤，奄奄一息。同时，警方还在现场找到了昏迷不醒的督察凌光（郭富城 饰）。结合近期发生的电钻杀人案，警方怀疑此案为同一凶手所为。凌光苏醒后失忆，导致其无法解释与徐泰相会之事，因此陈安哲（钱嘉乐 饰）等警员指责其为凶手。余总警司（董勇 饰）让他不要插手此案。凌光深感委屈，身边只剩好友阿鬼（张兆辉 饰）力挺。记事簿显示，凌光在案发时均在请假，他询问妻子希爱（张钧甯 饰）和养子仔仔（谭真一 饰）希望唤起当时的记忆，无济于事。他的脑中不停闪现血腥场面，精神极度失控，不但冷淡妻儿，而且忽视了刚离婚的妹妹凌敏（何超仪 饰）。收集证据时，凌光赫然发现，几名死者竟然跟自己有着特殊的关系，而且这背后还隐藏着更大的阴谋……
丁水妹的哥哥丁大水成亲，结婚船队在白洋淀上和八路军侦察连的船相撞，撞坏了船头象征吉祥的龙王头，丁水妹向连长老魏讨个说法，老魏说自己正在执行重要任务。
父亲白尚武是军人出身，从小对四个女儿要求严格，采取军事化管理，希望四个女儿都能女承父业成为军人，没想到女儿们却一个个都与他的设想背道而驰。最放心的大女儿白金喜突然离婚再婚，最优秀的二女儿白木喜决定离开军校转战婚纱设计，最头疼的三女儿白水喜一心想成大明星遭遇丑闻诽谤，最懂事的四女儿白欢喜也因成绩不好几年考不上理想大学。白尚武固执的利用霸权操纵者女儿们的学业事业生活情感，一连串的父女冲突激烈的在白家展开，最终四个女儿都不负父望，赢得幸福。
Increase the Maximum Half Connections
Perhaps we do not have the conditions to test the network cable performance at low temperature. However, we can test some performance of the network cable under high temperature conditions. Intercept a small section of the network cable and bake it beside the stove. If the network cable can last for about 20 minutes without softening at a temperature of about 50 degrees, then the network cable will pass.
故事发生在2006年，苏莯是一位临时演员，平日里接一些不起眼的角色维持生活，但苏莯坚持着自己的演员梦想，虽然辛苦但自己觉得值得。某日，苏莯在公交车站躲雨，一个质朴漂亮的女孩林一一出现在苏莯面前，林一一没有拿雨伞似乎很着急，苏莯鼓起勇气为林一一撑起了伞，两个人确定了关系。转眼来到了2008年，苏莯和林一一还有几个好朋友一起吃着火锅，看着奥运会开幕式，小酌几杯。喝的兴起，苏莯开始谈天说地，告诉大家未来一定会和林一一过的很幸福。此时，旁边桌坐着一位奇怪的大叔，听到了这一切，把苏莯叫到了旁边，询问他是否想看一看未来自己的生活。苏莯表示好奇，喝了酒的苏莯似乎有些醉意，但大叔说他有能力让苏莯跨越时空去见到未来的生活……
-Execution method by delegate
[Truth] In fact, this video was circulated on the Internet in early August and has also been released by Phoenix and other media. On October 8, Sohu Aurora issued a post entitled "Female employees queue up to kiss their bosses every day? The video shows that the employee is playing a transmission game, "the article said. From the video, the employee is transmitting something with his mouth, and something has fallen, instead of" kissing "posted online. On the morning of October 8, a netizen commented on the relevant microblog, "This is clearly a real estate company in Suzhou, and are you sure you are kissing? The men are not leaders, they are all employees, playing the game of picking up bottle caps. Now the women have resigned because of this, and the pressure of public opinion is too great."
平凡的大学生夜神月（洼田正孝饰）跟在警视厅搜查一课上班的父亲夜神总一郎以及妹妹妆裕共同生活。某天，他捡到死神丢落在人间的笔记本，名字被写在这个本子上的人就会真的死去。开始，夜神月只是当成玩笑，把威胁好友鸭田的佐古田的名字写了上去，但是佐古田真的死掉了。佐古田的死让很多人感到高兴，而月也产生了一种奇妙的感觉。之后，月使用笔记的力量不断杀死罪犯，引起了国际刑警组织的注意，国际刑警组织邀请神秘的名侦探L（山崎贤人饰）来到日本，同夜神总一郎等人共同展开调查。从此，夜神月与L展开了生死对决。
为了证明自己是男人，你们是不是等下还要脱裤子亮家伙？在众人哄笑声中，黎水尖叫一声，飞快地对钱明扑过去，狠狠一脚踢在他膝弯处，粗莽汉子顿时跪倒在地。
1966年，周慕云从新加坡回到香港，在偶然的机缘下住进2047号房，开始卖文生涯。有时他彷佛完全忘掉了过去，但有时，他彷佛只是在欺骗自己，偶尔遇上某人、某事，往事复又在他心底骚动。他遇上不同的女人──新加坡的职业赌徒苏丽珍、在夜总会重逢的露露、住在2046号房的白玲、公寓老板的女儿王小姐。他们都不单只是擦身而过而已…在彼此内心短暂驻足后,他反而对过去更加历历在目,更加挥之不去。
故事讲到陈山聪跟李施嬅是一段前世今生的孽缘爱情，由六十年代拖到现代，而在六十年代时，金宵大厦已经存在，所以他们的孽缘爱情在今世再续前缘。其间金宵大厦怪事不断，不停上演着其他住客的人生及奇幻故事！
After graduating from college, I have been very interested in using mathematical methods to write programs to solve problems. At the same time, I also keep reading all kinds of books and papers on computer science, and I am lucky to catch up with the upsurge of machine learning and in-depth learning that has arisen in the past ten years.
