文件目录：网易云课堂： 炼数成金：Python数据分析，文件大小：2.25G
第10周[91.77M]
python10.pdf[884.85K]
week10.py[2.42K]
week10a.mp4[25.06M]
week10b.mp4[29.33M]
week10c.mp4[36.51M]
第11周[50.44M]
bankloan.xls[125.00K]
data1.txt[0.74K]
data2.txt[0.14K]
python11.pdf[908.60K]
week11.py[2.74K]
week11a.mp4[30.39M]
week11b.mp4[19.04M]
第12周[171.33M]
arima_data.xls[18.00K]
python12.pdf[1.02M]
stock_px.csv[99.03K]
week12.py[7.49K]
week12a.mp4[50.41M]
week12b.mp4[60.37M]
week12c.mp4[59.41M]
第13周[98.25M]
python13.pdf[1.06M]
week13.py[2.69K]
week13a.mp4[27.82M]
week13b.mp4[33.78M]
week13c.mp4[21.29M]
week13c-2.mp4[14.29M]
第14周[117.92M]
ex14.csv[0.75K]
python14.pdf[1.23M]
week14.py[6.27K]
week14a.mp4[54.91M]
week14b.mp4[39.28M]
week14c.mp4[22.50M]
第15周[182.32M]
案例[95.68M]
business_circle.xls[48.00K]
案例分析.pptx[188.59K]
电信客户流失分析.py[3.41K]
电信客户流失模型.mp4[37.10M]
股票指数构建.mp4[28.44M]
股票指数构建.py[1.39K]
基于基站定位数据的商圈.py[2.34K]
基站聚类商圈.mp4[29.89M]
ex15.txt[0.29K]
python15.pdf[833.84K]
week15.py[1.32K]
week15a.mp4[34.79M]
week15b.mp4[17.77M]
week15c.mp4[33.26M]
第1周[276.43M]
《Python编程实践》PDF及代码.part1.rar[35.00M]
《Python编程实践》PDF及代码.part2.rar[25.53M]
《利用Python进行数据分析》.(WesMcKinney).[PDF]@jb51.net.pdf[79.58M]
Python_jmjc(jb51.net).rar[6.58M]
python01.rar[123.58M]
Python初学教程：《简明Python教程》.pdf[812.97K]
Python数据分析基础教程：NumPy学习指南（第2版）.pdf[5.36M]
week1.py[7.65K]
第2周[123.06M]
python02.rar[123.05M]
week2.py[4.67K]
week2-2.py[5.36K]
第3周[128.64M]
week03a.mp4[56.19M]
week03b.mp4[46.23M]
week03c.mp4[26.22M]
week3.py[5.77K]
第4周[109.60M]
ag0613.csv[9.56K]
data.csv[1.60K]
python04.rar[109.57M]
week4.py[11.08K]
week4-2.py[9.66K]
weeksummary.csv[0.09K]
第5周[86.26M]
data[613.80K]
csv_mindex.csv[0.11K]
ex1.csv[0.06K]
ex2.csv[0.04K]
ex3.csv[0.17K]
ex3.txt[0.17K]
ex4.csv[0.16K]
ex5.csv[0.08K]
ex6.csv[612.17K]
ex7.csv[0.04K]
frame_pickle[0.64K]
out.csv[0.09K]
tseries.csv[0.09K]
python05.pdf[1.06M]
python05.rar[84.60M]
week5.py[7.25K]
第6周[191.05M]
data[30.60M]
catering_sale.xls[32.00K]
electricity_data.xls[23.00K]
foods-2011-10-03.json[30.34M]
movies.dat[167.29K]
normalization_data.xls[22.00K]
olivier.txt[0.74K]
principal_component.xls[25.00K]
第6周作业数据[69.12K]
BHP1.csv[0.56K]
BHP2.xlsx[9.06K]
肝气郁结证型系数.xls[59.50K]
python06.rar[160.36M]
week6.py[15.53K]
第7周[167.68M]
data[2.03M]
Haiti.csv[1.86M]
macrodata.csv[17.81K]
spx.csv[146.59K]
tips.csv[7.76K]
python07.pdf[628.91K]
week07a.mp4[78.16M]
week07b.mp4[42.30M]
week07c.mp4[44.57M]
week7.py[8.59K]
第8周[294.11M]
data[150.74M]
Amtrak.xls[92.50K]
P00000001-ALL.csv[150.56M]
stock_px.csv[99.03K]
python08.pdf[559.58K]
week08-1.avi[37.08M]
week08-2.avi[47.27M]
week08-3.avi[35.85M]
week08-4.avi[22.61M]
week8.py[10.58K]
作业.txt[0.28K]
第9周[174.80M]
Amtrak.xls[93.00K]
python09.pdf[1.18M]
week09a.mp4[78.94M]
week09b.mp4[33.28M]
week09c.mp4[61.30M]
week9.py[1.06K]
[Python2]《机器学习实战》及源代码.zip[44.07M]
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