Jupyter Notebook数据分析神器亮相 基于Python打造数据挖掘实战 数据分析高手训练营，网盘下载(2.22G)

内容[2.22G]

01_01_环境搭建-.mp4[26.51M]

02_02_JupyterNotebook介绍-.mp4[42.90M]

03_03_快速上手JupyterNotebook-.mp4[58.26M]

04_04_Matplotlib介绍-.mp4[53.45M]

05_05_快速上手Matplotlib-.mp4[15.04M]

06_06_Matplotlib三层结构-.mp4[32.62M]

07_08_修改x_y轴刻度-.mp4[37.33M]

08_09_中文问题解决-.mp4[31.22M]

09_10其他辅助显示层完善折线图-.mp4[11.38M]

10_11_完善折线图_图像层_-.mp4[52.17M]

11_12_创建多个绘图区-.mp4[49.58M]

12_13_折线图应用场景-.mp4[23.79M]

13_14_常见图表及散点图-.mp4[23.98M]

14_15_柱状图-.mp4[46.40M]

15_16_直方图-.mp4[67.33M]

16_17_饼图-.mp4[26.87M]

17_18_总结-.mp4[19.20M]

18_01_上节回顾-.mp4[18.78M]

19_02_今日目标-.mp4[11.92M]

20_03_Numpy优势-.mp4[52.34M]

21_04_ndarray属性-.mp4[40.76M]

22_05_生成数组的方法-.mp4[37.46M]

23_06_均匀分布与正态分布-.mp4[60.01M]

24_07_切片索引与形状修改-.mp4[45.58M]

25_08_类型修改与数组去重-.mp4[22.22M]

26_09_逻辑运算-.mp4[50.40M]

27_10_统计运算-.mp4[24.29M]

28_11_数组间运算_-.mp4[34.28M]

29_12_矩阵运算-.mp4[43.63M]

30_13_合并与分割-.mp4[22.20M]

31_14_IO操作与数据处理-.mp4[33.32M]

32_15_总结-.mp4[44.29M]

33_16_答疑-.mp4[9.12M]

34_01_上节回顾-.mp4[37.65M]

35_02_Pandas介绍-.mp4[20.18M]

36_03_DataFrame属性和方法-.mp4[52.56M]

37_04_DataFrame索引设置-.mp4[40.80M]

38_05_MultiIndex与Panel-.mp4[19.37M]

39_06_Series-.mp4[26.28M]

40_07_索引操作-.mp4[38.96M]

41_08_赋值与排序-.mp4[39.66M]

42_09_算术运算与逻辑运算-.mp4[44.96M]

43_10_统计运算与自定义运算-.mp4[48.06M]

44_11_Pandas画图-.mp4[12.68M]

45_12_csv文件的读取与存储-.mp4[56.15M]

46_13_hdf5文件的读取与存储-.mp4[36.35M]

47_14_json文件的读取与存储-.mp4[52.75M]

48_15_本阶段学习总结-.mp4[50.36M]

49_01_上节内容回顾-.mp4[43.57M]

50_02_今日安排-.mp4[7.83M]

51_03_处理np_nan类型的缺失值-.mp4[69.46M]

52_04_处理其他标记的缺失值-.mp4[30.91M]

53_05_数据离散化-.mp4[84.59M]

54_06_按方向合并pd_concat__-.mp4[27.35M]

55_07_按索引合并pd_merge__-.mp4[32.87M]

56_08_交叉表与透视表-.mp4[63.54M]

57_09_分组与聚合-.mp4[49.12M]

58_10_综合案例-.mp4[85.28M]

59_11_总结-.mp4[28.67M]