教程详情
文件下载 | 文件名称:七月Python进阶熟练班 | 文件大小:2.0GB |
下载声明:本站文件大多来自于网络,仅供学习和研究使用,不得用于商业用途,如有版权问题,请联系博猪! | ||
下载地址: 下载教程 |
教程目录:
├─第10周
│ python10.pdf
│ week10.py
│ week10a.mp4
│ week10b.mp4
│ week10c.mp4
│
├─第11周
│ bankloan.xls
│ data1.txt
│ data2.txt
│ python11.pdf
│ week11.py
│ week11a.mp4
│ week11b.mp4
│
├─第12周
│ arima_data.xls
│ python12.pdf
│ stock_px.csv
│ week12.py
│ week12a.mp4
│ week12b.mp4
│ week12c.mp4
│
├─第13周
│ python13.pdf
│ week13.py
│ week13a.mp4
│ week13b.mp4
│ week13c-2.mp4
│ week13c.mp4
│
├─第14周
│ ex14.csv
│ python14.pdf
│ week14.py
│ week14a.mp4
│ week14b.mp4
│ week14c.mp4
│
├─第15周
│ │ ex15.txt
│ │ python15.pdf
│ │ week15.py
│ │ week15a.mp4
│ │ week15b.mp4
│ │ week15c.mp4
│ │
│ └─案例
│ business_circle.xls
│ 基于基站定位数据的商圈.py
│ 基站聚类商圈.mp4
│ 案例分析.pptx
│ 电信客户流失分析.py
│ 电信客户流失模型.mp4
│ 股票指数构建.mp4
│ 股票指数构建.py
│
├─第1周
│ python01.rar
│ Python_jmjc(jb51.net).rar
│ Python初学教程:《简明Python教程》.pdf
│ Python数据分析基础教程:NumPy学习指南(第2版).pdf
│ week1.py
│ 《Python编程实践》PDF及代码.part1.rar
│ 《Python编程实践》PDF及代码.part2.rar
│ 《利用Python进行数据分析》.(Wes McKinney).[PDF]@jb51.net.pdf
│
├─第2周
│ python02.rar
│ week2-2.py
│ week2.py
│
├─第3周
│ week03a.mp4
│ week03b.mp4
│ week03c.mp4
│ week3.py
│
├─第4周
│ ag0613.csv
│ data.csv
│ python04.rar
│ week4-2.py
│ week4.py
│ weeksummary.csv
│
├─第5周
│ │ python05.pdf
│ │ python05.rar
│ │ week5.py
│ │
│ └─data
│ csv_mindex.csv
│ ex1.csv
│ ex2.csv
│ ex3.csv
│ ex3.txt
│ ex4.csv
│ ex5.csv
│ ex6.csv
│ ex7.csv
│ frame_pickle
│ out.csv
│ test_file.csv
│ tseries.csv
│
├─第6周
│ │ python06.rar
│ │ week6.py
│ │
│ ├─data
│ │ catering_sale.xls
│ │ electricity_data.xls
│ │ foods-2011-10-03.json
│ │ macrodata.csv
│ │ movies.dat
│ │ normalization_data.xls
│ │ olivier.txt
│ │ principal_component.xls
│ │
│ └─第6周作业数据
│ BHP1.csv
│ BHP2.xlsx
│ 肝气郁结证型系数.xls
│
├─第7周
│ │ python07.pdf
│ │ week07a.mp4
│ │ week07b.mp4
│ │ week07c.mp4
│ │ week7.py
│ │
│ └─data
│ Haiti.csv
│ macrodata.csv
│ spx.csv
│ tips.csv
│
├─第8周
│ │ python08.pdf
│ │ week08-1.avi
│ │ week08-2.avi
│ │ week08-3.avi
│ │ week08-4.avi
│ │ week8.py
│ │ 作业.txt
│ │
│ └─data
│ Amtrak.xls
│ P00000001-ALL.csv
│ stock_px.csv
│ tips.csv
│
└─第9周
Amtrak.xls
python09.pdf
week09a.mp4
week09b.mp4
week09c.mp4
week9.py
教程截图
教程下载
原文链接:【教程宝盒网】 https://www.jc-box.com/4482.html,转载请注明出处。
请先
!