Squat down, grab bars, lift, shoulder support, bow legs, clean and jerk... on the afternoon of the 8th, when the peninsula reporter came to the weightlifting training hall of the city sports school, the afternoon training class had already begun, and more than 20 female athletes were silently repeating their exercises and lifting barbells again and again. Different from the traditional impression of reporters, weightlifters are short and stout. Some of the girls here are over 1.70 meters tall. Most of them are well-proportioned, with beautiful hips and tight arms. Only a few of them are tall and stout, while the rest can't see any trace of stout. "Because China used to do weightlifting at small levels, people saw the success of 48kg and 52kg athletes, so they took it for granted that weightlifting would make people grow short, but in fact scientific practice would not affect children's height development. Just imagine, even in daily life, how tall can a person weightlifting about 100kg be? Plus muscular will appear stout, but this does not mean that all weightlifters are stout. Five or six little girls in our team are over 1.70 meters tall, and some boys are nearly 1.90 meters tall. " Liu Eryong, coach of the women's weightlifting team, told reporters that weightlifting not only did not affect the height of the children, but also did not destroy their figure. "As you can see, because of the long-term squat practice, the children's thighs and buttocks are very beautiful. Some small fat people have lost more than 10 kg in a few months and their muscle lines look better. With the deepening of scientific training, weightlifting is no longer the sport that people think destroys their bodies. "张时彻至少做到了恪尽职守，一天多来从未合眼，始终在城门一线统帅，虽然他无法提刀杀敌，却至少能振奋军心，这才有军士前赴后继用血肉堵住了南京城。1871年的大火的故事。奥利里太太的虚构的故事,两个儿子(牛的主人开始火),一个一个流氓(权力)另一个律师(阿米奇)。最昂贵的电影之一的时间(180万美元)。该片以习近平新时代中国特色社会主义思想为指导，把70年来中国共产党带领全国各族人民进行社会主义革命、建设、改革取得的辉煌成就和宝贵经验作为主线，坚持“政论情怀、故事表达”风格歌唱祖国、礼赞时代，深入反映共和国筚路蓝缕一路走来的感人故事和重要事件，倾情呈现亿万人民在社会主义道路上不懈奋斗谱写的壮丽史诗 。该片既客观反映历史的进程，又注重接地气的故事表达，既讲述各时期的重大历史事件，也反映了千千万万中国人民日常生活的巨大变迁为了传统，婉仪循规蹈矩，向现实妥协，向礼教退让，最终放弃真爱，毁灭自己；为了翻身，秋桐坚强不屈，披荆斩棘努力求索，最终不仅事业又称，更赢得真爱。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.不得不说，刘邦是选对人了。
