一百多本Python书籍PDF
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**** 本内容需购买 ****
动手学深度学习 by 阿斯顿·张(Aston Zhang), 李沐(Mu Li), [美] 扎卡里·C. 立顿(Zachary C. Lipton), [德] 亚历山大·J. 斯莫拉(Alexander J. Smola) (z-lib.org)
Python神经网络编程 Make Your Own Neural Network by 塔里克·拉希德(Tariq Rashid),林赐 (z-lib.org)
Python基础教程-第3版
OReilly.-.Python for Data Analysis
Python 3爬虫、数据清洗与可视化实战_233
Python即学即用
等等.... 因为截图有限制,我一个个复制名字太麻烦,只写了这几个名字,真的有一百多本书籍
楼主加油,我们都看好你哦。 真是难得给力的帖子啊。 强烈支持楼主ing…… 强烈支持楼主ing…… 强烈支持楼主ing…… 强烈支持楼主ing…… 强烈支持楼主ing…… 强烈支持楼主ing…… 强烈支持楼主ing……