Python NumPy Pandas 等 21 张代码速查表
随着深度学习的蓬勃发展,越来越多的小伙伴们开始使用python作为主打代码,python有着种类繁多的第三方库,这里为大家从网络上收集了一些代码速查表,包括深度神经网络、机器学习、数据可视化、python基础、科学计算等等,希望可以帮你在码代码时提速。
![38db2d51b292a5f3d168a266ca52dbda.webp](https://filescdn.proginn.com/1213c8025bd26f0bb7aea33191acfcc0/38db2d51b292a5f3d168a266ca52dbda.webp)
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资料展示如下:
神经网络
![c0c604e65e21f8d253a489d5019878c4.webp](https://filescdn.proginn.com/c52dda980644bc8d70ec60251dfe2b00/c0c604e65e21f8d253a489d5019878c4.webp)
线性代数
![e2f9e71ce1c85a93519f4241debed43c.webp](https://filescdn.proginn.com/2edc65f232109907cdcce3d074554195/e2f9e71ce1c85a93519f4241debed43c.webp)
python基础
![d8f9d601c69c96c98d2995a8bec3e896.webp](https://filescdn.proginn.com/2233ca0e6d018909bbce527099ee9435/d8f9d601c69c96c98d2995a8bec3e896.webp)
scipy科学计算
![d8f9d601c69c96c98d2995a8bec3e896.webp](https://filescdn.proginn.com/2233ca0e6d018909bbce527099ee9435/d8f9d601c69c96c98d2995a8bec3e896.webp)
spark
![06473d2e430a9d832c32695694089d2f.webp](https://filescdn.proginn.com/e1203cf8b01466f5e6b8588ffbb2a258/06473d2e430a9d832c32695694089d2f.webp)
数据保存及可视化
numpy
![3e1adc23757fb524ee9bf3932610312c.webp](https://filescdn.proginn.com/d527b531cbf368836d3bde65e4ff2313/3e1adc23757fb524ee9bf3932610312c.webp)
pandas
![fa1b63c5e51da58461cc103ca910558a.webp](https://filescdn.proginn.com/744a109fc912bd2cbd937c9ff5fabc7f/fa1b63c5e51da58461cc103ca910558a.webp)
![e72be41c45f85f27935f78204410ae4f.webp](https://filescdn.proginn.com/7b7fd6e332ee7042fb72ab8bf18b67a5/e72be41c45f85f27935f78204410ae4f.webp)
![6406118d96f6d2bc2419ae5563588da0.webp](https://filescdn.proginn.com/ebee6f3c4db1568a8b668d3fb28b78a3/6406118d96f6d2bc2419ae5563588da0.webp)
bokeh
![64ab41679b21774ea8808fd7fcc48357.webp](https://filescdn.proginn.com/a2f759d9aa58516dd1c09ae7e388fea6/64ab41679b21774ea8808fd7fcc48357.webp)
![38db2d51b292a5f3d168a266ca52dbda.webp](https://filescdn.proginn.com/1213c8025bd26f0bb7aea33191acfcc0/38db2d51b292a5f3d168a266ca52dbda.webp)
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画图
matplotlib
![d45c7ed728cb652b68879f41f5e1b5d3.webp](https://filescdn.proginn.com/410735d0dc7fadd69fd91fdbcc9095f6/d45c7ed728cb652b68879f41f5e1b5d3.webp)
ggplot
![5e730ce98711b9a6905cec3b4665aed1.webp](https://filescdn.proginn.com/756d677907bf174d68f162d86f7c217b/5e730ce98711b9a6905cec3b4665aed1.webp)
![a6a952cac3ebf7816a063b884a03f9b7.webp](https://filescdn.proginn.com/7f258a00b97837caebc51600c444d55f/a6a952cac3ebf7816a063b884a03f9b7.webp)
机器学习
sklearn
![8db083510b56414650806c337f452d5a.webp](https://filescdn.proginn.com/2d24fd276a1884b71184fb18d4d92f27/8db083510b56414650806c337f452d5a.webp)
tensorflow
![8f490aec958b7c73bc515e91234c5472.webp](https://filescdn.proginn.com/6e7c0b2ceded05b76d0a37efd505ac6a/8f490aec958b7c73bc515e91234c5472.webp)
算法
数据结构
![2d33b33823d4f09ac1e7b04f330b1982.webp](https://filescdn.proginn.com/d7e00d5bc27a67b8a80b247a12e18c25/2d33b33823d4f09ac1e7b04f330b1982.webp)
复杂度
![9d92d663fe0a2b9bb5f191b321f8673a.webp](https://filescdn.proginn.com/3838587257195ee1701e98c020de5644/9d92d663fe0a2b9bb5f191b321f8673a.webp)
排序算法
![a06d1353a79d7d3b645ad19b5e940629.webp](https://filescdn.proginn.com/824dbda66009669e9260467554e37282/a06d1353a79d7d3b645ad19b5e940629.webp)
![38db2d51b292a5f3d168a266ca52dbda.webp](https://filescdn.proginn.com/1213c8025bd26f0bb7aea33191acfcc0/38db2d51b292a5f3d168a266ca52dbda.webp)
扫码关注公众号:“机器学习算法那些事”
在公众号消息对话框回复:“速查表” 即可以获取哟~
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