python2024课程-Python数据分析海量数据营销

体系课

0 人浏览发布 2026-06-09更新 2026-06-09

Python数据分析海量数据营销

* 01 密码字典与工具生成/

* 01 Pc.1.1目标生成密码字典.mp4 (22.04 MB), 03:38

* 02 Pc.1.2排列与组合的计算.mp4 (42.64 MB), 12:43

* 03 Pc.1.3密码字典生成.mp4 (47.76 MB), 11:35

* 04 Pc.1.4密码生成器.mp4 (38.92 MB), 06:26

* 05 Pc.1.5密码提取.mp4 (37.02 MB), 07:53

* 06 Pc.1.6密码排序.mp4 (30.48 MB), 06:22

* 07 Pc.1.7密码统计次数逻辑.mp4 (47.67 MB), 12:53

* 08 Pc.1.8密码次数统计.mp4 (40.78 MB), 08:48

* 09 Pc.1.9密码提取成功.mp4 (59.12 MB), 09:44

* 10 Pc.1.10CSDN数据一步提取.mp4 (83.02 MB), 17:59

* 11 Pc.1.11数据提取.mp4 (82.28 MB), 16:56

* 12 Pc.1.12wxpython提取工具界面设计.mp4 (117.68 MB), 21:34

* 13 Pc.1.13wxpython工具提取工具实现.mp4 (142.77 MB), 22:20

* 14 Pc.1.14QT作业简介.mp4 (46.00 MB), 07:50

* 15 Pc.1.15作业.mp4 (49.48 MB), 10:49

* 02 文件排序与内存索引/

* 01 Pc.2.1时间装饰器.mp4 (32.05 MB), 08:32

* 02 Pc.2.2类装饰器.mp4 (13.29 MB), 02:21

* 03 Pc.2.3硬盘检索时间装饰器.mp4 (44.04 MB), 07:31

* 04 Pc.2.4内存检索装饰器.mp4 (118.06 MB), 29:50

* 05 Pc.2.5装饰器.mp4 (33.90 MB), 06:32

* 06 Pc.2.6装饰器的调用版.mp4 (29.27 MB), 08:19

* 07 Pc.2.7装饰器的参数.mp4 (30.84 MB), 09:07

* 08 Pc.搜索计时装饰器.mp4 (58.53 MB), 11:43

* 09 Pc.2.9常规搜索以及二分查找法原理.mp4 (46.03 MB), 12:27

* 10 Pc.2.10二分查找提高速度.mp4 (48.10 MB), 10:48

* 11 Pc.2.11拉格狼日查找.mp4 (90.57 MB), 19:30

* 12 Pc.2.12文件排序.mp4 (50.88 MB), 09:22

* 13 Pc.2.13内存索引随机访问.mp4 (61.66 MB), 14:00

* 14 Pc.2.14内存索引二分查找数据.mp4 (57.59 MB), 11:13

* 03 倒排索引与硬盘索引/

* 01 Pc.3.1索引保存到硬盘.mp4 (67.29 MB), 13:50

* 02 Pc.3.2硬盘索引的随机访问.mp4 (45.82 MB), 09:05

* 03 Pc.3.3硬盘索引的二分查找法.mp4 (45.21 MB), 07:11

* 04 Pc.3.4倒排索引的概念.mp4 (76.00 MB), 13:19

* 05 Pc.3.5倒排索引随机查找.mp4 (72.94 MB), 13:55

* 06 Pc.3.6倒排索引保存.mp4 (28.07 MB), 05:38

* 07 Pc.3.7倒排索引的内存二分查找.mp4 (26.98 MB), 04:37

* 08 Pc.3.8倒排索引的硬盘二分查找.mp4 (10.17 MB), 01:54

* 09 Pc.3.9数据类的封装与测试.mp4 (67.70 MB), 11:37

* 10 Pc.3.10数据网页查看服务.mp4 (54.39 MB), 11:45

* 11 Pc.3.11作业.mp4 (36.77 MB), 05:39

* 04 数据切割与归并/

* 01 Pc.4.1读取数据的行数.mp4 (86.48 MB), 16:16

* 02 Pc.4.4数据切割算法.mp4 (51.39 MB), 11:16

* 03 Pc.4.5数据切割实现.mp4 (73.59 MB), 12:59

* 04 Pc.4.10验证文件归并-数据切割.mp4 (16.82 MB), 03:56

* 05 Pc.4.11验证文件归并每个文件单独排序.mp4 (11.03 MB), 02:19

* 06 Pc.4.12文件归并排序法.mp4 (69.25 MB), 15:19

* 07 Pc.4.13作业.mp4 (50.08 MB), 12:47

* 08 Pc.4.14递归归并算法.mp4 (104.96 MB), 24:46

* 05 QQ大数据实战/

* 01 Pc.5.1QQ数据简介.mp4 (85.67 MB), 15:14

* 02 Pc.5.2分词处理.mp4 (124.92 MB), 22:01

* 03 Pc.5.3分词搜索.mp4 (24.39 MB), 07:04

* 04 Pc.5.4QQ群数据合并.mp4 (154.35 MB), 33:57

* 05 Pc.5.5QQ群数据抽取.mp4 (47.88 MB), 08:16

* 06 Pc.5.6QQ群数据归并.mp4 (209.35 MB), 34:27

* 07 Pc.5.7QQ群数据的模糊检索.mp4 (119.70 MB), 18:40

* 08 Pc.5.8制作索引的三种模式.mp4 (171.15 MB), 28:02

* 09 Pc.5.9QQ群数据随机访问以及硬盘二分查找.mp4 (67.18 MB), 10:48

* 10 Pc.5.10合并QQ数据.mp4 (115.91 MB), 18:41

* 11 Pc.5.11QQ数据索引.mp4 (32.24 MB), 06:47

* 12 Pc.5.12QQ群数据的随机访问.mp4 (30.98 MB), 06:07

* 13 Pc.5.13根据QQ群查找QQ号.mp4 (198.09 MB), 30:35

* 14 Pc.5.15作业.mp4 (63.14 MB), 13:59

* 06 tushare与numpy实战/

* 01 Pc.6.1部署tushare环境.mp4 (18.22 MB), 03:16

* 02 Pc.6.2Tushare简单使用.mp4 (156.26 MB), 23:43

* 03 Pc.6.3tushare保存数据.mp4 (90.57 MB), 15:55

* 04 Pc.6.4为啥使用Numpy.mp4 (25.85 MB), 04:11

* 05 Pc.6.5numpy创建数组.mp4 (39.33 MB), 07:47

* 06 Pc.6.6numpy数据类型.mp4 (108.74 MB), 23:40

* 07 Pc.6.7numpy数组常见属性.mp4 (71.01 MB), 13:37

* 08 Pc.6.8创建数组并对数组初始化.mp4 (49.30 MB), 10:41

* 09 Pc.6.9numpy根据已有数组创建数组.mp4 (73.29 MB), 12:16

* 10 Pc.6.10numpy根据已有序列创建数组.mp4 (100.64 MB), 19:02

* 07 numpy高级实战/

* 01 Pc.7.1一维数组切片.mp4 (60.80 MB), 11:52

* 02 Pc.7.2多维数组的切片.mp4 (54.03 MB), 09:28

* 03 Pc.7.3数据的高级索引.mp4 (105.44 MB), 23:43

* 04 Pc.7.4bool表达式索引.mp4 (21.91 MB), 04:25

* 05 Pc.7.5numPy广播.mp4 (31.11 MB), 05:27

* 06 Pc.7.6numpy迭代器.mp4 (24.31 MB), 04:50

* 07 Pc.7.7numpy迭代器的循环顺序.mp4 (34.90 MB), 06:03

* 08 Pc.7.8numy高级迭代.mp4 (52.87 MB), 08:33

* 09 Pc.7.9numpy数组变形折叠.mp4 (65.90 MB), 11:27

* 10 Pc.7.10numpy数组轴操作.mp4 (99.18 MB), 18:56

* 11 Pc.7.11numpy数组维度操作.mp4 (197.36 MB), 31:38

* 12 Pc.7.12numpy数组组合与切割.mp4 (88.78 MB), 14:14

* 13 Pc.7.13数组元素内部操作.mp4 (128.45 MB), 23:21

* 14 Pc.7.14numpy位操作与补码.mp4 (120.84 MB), 22:51

* 15 Pc.7.15numpy字符串.mp4 (60.26 MB), 11:52

* 08 numpy数据预览/

* 01 Pc.8.1numpy全局预览.mp4 (36.34 MB), 05:51

* 02 Pc.8.2numpy常见数据函数.mp4 (123.72 MB), 19:37

* 03 Pc.8.3numy常见数组计算.mp4 (86.05 MB), 18:18

* 04 Pc.8.4numpy统计计算.mp4 (160.52 MB), 35:21

* 05 Pc.8.5numpy数组排序计数搜索.mp4 (179.09 MB), 38:59

* 06 Pc.8.6大端与小端.mp4 (36.79 MB), 07:12

* 07 Pc.8.7视图与副本.mp4 (53.08 MB), 11:32

* 09 numpy线性处理与绘图序列化/

* 01 Pc.9.1numpy矩阵.mp4 (71.12 MB), 14:37

* 02 Pc.9.2numpy线性代数.mp4 (146.97 MB), 22:24

* 03 Pc.9.3numpy绘制函数曲线.mp4 (22.94 MB), 05:08

* 04 Pc.9.4numpy高级绘图.mp4 (73.56 MB), 12:14

* 05 Pc.9.5numpy序列化.mp4 (20.82 MB), 04:47

* 06 Pc.9.6未来岗位.mp4 (174.91 MB), 28:54

* 07 Pc.9.7numPy小结.mp4 (59.72 MB), 09:16

* 10 pandas数据处理技巧/

* 01 Pc.10.1pandas用于分析数据.mp4 (41.13 MB), 08:15

* 02 Pc.10.2pandas操作数据行与列.mp4 (0.06 MB), 00:00

* 03 Pc.10.3pandas结合tushare选择行与列.mp4 (73.34 MB), 12:32

* 04 Pc.10.4pandas选择多列与计次.mp4 (53.89 MB), 09:48

* 05 Pc.10.5pandas对比数据框架索引.mp4 (62.79 MB), 10:02

* 06 Pc.10.6panda类型Series.mp4 (145.29 MB), 33:53

* 07 Pc.10.7pandas实战dataframe.mp4 (195.59 MB), 38:42

* 08 Pc.10.8pandasDataFrame与Series计算.mp4 (76.49 MB), 18:46

* 09 Pc.10.9上午小结.mp4 (10.01 MB), 02:03

* 11 pandas数据处理技巧/

* 01 Pc.11.1pandas.DataFrame实战复习.mp4 (73.26 MB), 14:32

* 02 Pc.11.2pandas.Series实战复习.mp4 (55.73 MB), 10:27

* 03 Pc.11.3pandas处理txt.csv.xls.json数据.mp4 (152.07 MB), 23:59

* 04 Pc.11.4pandas处理mysql数据库.mp4 (87.11 MB), 14:48

* 05 Pc.11.5.None与np.nan用于数据缺失.mp4 (48.30 MB), 14:17

* 06 Pc.11.6pandas处理缺失数据.mp4 (106.50 MB), 22:34

* 07 Pc.11.7pandas_nasa数据实战1.mp4 (109.47 MB), 23:38

* 08 Pc.11.8pandas_nasa数据实战2.mp4 (67.10 MB), 15:14

* 09 Pc.11.9pandas处理数据的多层索引.mp4 (107.26 MB), 23:12

* 10 Pc.11.10pandas多层索引.索引与切片.mp4 (63.59 MB), 12:24

* 11 Pc.11.11pandas多层索引的聚合与统计.mp4 (57.53 MB), 12:52

* 12 Pc.11.12作业.mp4 (17.22 MB), 04:57

* 12 pandas数据归并/

* 01 Pc.12.1pandas数据的拼接.mp4 (132.81 MB), 29:17

* 02 Pc.12.2pandas gupiao数据拼接.mp4 (57.66 MB), 09:37

* 03 Pc.12.3pandas不匹配数据的拼接.mp4 (47.39 MB), 10:19

* 04 Pc.12.4pandas数据归并.mp4 (81.74 MB), 16:15

* 05 Pc.12.5pandasgupiao数据归并.mp4 (33.98 MB), 06:13

* 06 Pc.12.6pandas左右归并.mp4 (83.06 MB), 17:11

* 07 Pc.12.7pandas内归并与外归并.mp4 (25.86 MB), 05:41

* 08 Pc.12.8pandas列冲突.mp4 (11.94 MB), 02:55

* 09 Pc.12.9美国数据预处理清洗缺失.mp4 (162.90 MB), 29:00

* 10 Pc.12.10美国数据计算分析密度.mp4 (51.93 MB), 09:02

* 11 Pc.12.11pandas与NumPy计算对比.mp4 (32.95 MB), 07:47

* 13 pandas gupiao数据实战/

* 01 Pc.13.1pandas处理数据归并关系一对一一对多多对多.mp4 (59.47 MB), 13:45

* 02 Pc.13.2pandas替换index新建序列删除重复数据替换.mp4 (120.34 MB), 27:57

* 03 Pc.13.3pandas与numpy协同处理数据.mp4 (42.54 MB), 07:50

* 04 Pc.13.4pandas_take随机抽样排序.mp4 (23.89 MB), 05:36

* 05 Pc.13.5pandas聚合操作.mp4 (31.23 MB), 06:31

* 06 Pc.13.6pandas自定义聚合计算.mp4 (25.49 MB), 05:48

* 07 Pc.13.7处理gupiao数据绘制股价走势图.mp4 (104.37 MB), 22:52

* 08 Pc.13.8金融数据简单绘图.mp4 (25.82 MB), 05:21

* 09 Pc.13.9统计方法.mp4 (190.46 MB), 38:10

* 10 Pc.13.10作业.mp4 (44.27 MB), 08:09

* 14 综合绘图实战/

* 01 Pc.14.1pandas回顾.mp4 (28.96 MB), 04:38

* 02 Pc.14.2matplotlib简单绘图.mp4 (58.49 MB), 11:22

* 03 Pc.14.3numpy整合matplotlib绘图.mp4 (10.66 MB), 01:56

* 04 Pc.14.4numy.pandas.matplotlib绘图.mp4 (77.52 MB), 15:07

* 05 Pc.14.5数据工程师必备DataView.mp4 (201.24 MB), 39:28

* 06 Pc.14.6解决中文乱码.mp4 (13.56 MB), 02:58

* 07 Pc.14.7pandasSeries与DataFrame绘图详解.mp4 (68.95 MB), 14:35

* 08 Pc.14.8matplotlib简单绘图载入数据.mp4 (42.73 MB), 07:04

* 09 Pc.14.9matplot样式简介.mp4 (0.04 MB), 00:00

* 10 Pc.14.10matplotlib子图.mp4 (94.54 MB), 18:02

* 11 Pc.14.11matplotlib收尾.mp4 (28.05 MB), 05:56

* 12 Pc.14.12作业.mp4 (5.22 MB), 01:47

* 15 pyechart绘图实战/

* 01 Pc.15.1.PyEcharts环境配置.mp4 (27.35 MB), 04:15

* 02 Pc.15.2绘制柱状图html5.mp4 (25.72 MB), 05:00

* 03 Pc.15.3jupyter绘图.mp4 (12.72 MB), 02:27

* 04 Pc.15.4柱状图第一个.mp4 (33.61 MB), 10:04

* 05 Pc.15.5柱状图详细参数.mp4 (38.66 MB), 08:14

* 06 Pc.15.6绘图技巧.mp4 (60.86 MB), 09:26

* 07 Pc.15.7柱状图迁移.mp4 (141.37 MB), 21:58

* 08 Pc.15.8折线图.mp4 (123.06 MB), 20:26

* 09 Pc.15.9地图绘制.mp4 (34.28 MB), 05:49

* 10 Pc.15.10可视化简历.mp4 (21.05 MB), 03:32

* 11 Pc.15.11flask入门.mp4 (43.41 MB), 07:15

* 12 Pc.15.12flask数据可视化.mp4 (119.17 MB), 18:42

* 16 matplotlib绘图实战/

* 01 Pc.16.1web可视化框架小结.mp4 (140.06 MB), 22:29

* 02 Pc.16.2web可视化产出图片pdf网页js.mp4 (103.34 MB), 15:50

* 03 Pc.16.3web多个页面page展示.mp4 (40.84 MB), 06:25

* 04 Pc.16.4matplotlib简介.mp4 (30.00 MB), 06:21

* 05 Pc.16.5matplotlib折线图.mp4 (19.59 MB), 04:44

* 06 Pc.16.6matplot中文乱码.mp4 (16.13 MB), 02:54

* 07 Pc.16.7matplotlib条形图和直方图.mp4 (41.24 MB), 07:01

* 08 Pc.16.8matplotlib散点图.mp4 (31.74 MB), 05:11

* 09 Pc.16.9matplotlib波浪图.mp4 (22.79 MB), 03:44

* 10 Pc.16.10matplotlib饼图.mp4 (12.37 MB), 02:51

* 17 matplotlib绘图延申/

* 01 Pc.17.1.matplotlib.mp4 (85.15 MB), 13:32

* 18 seaborn绘图/

* 01 Pc.18.1seaborn绘图.mp4 (168.60 MB), 25:52

* 19 数据分析阶段性考试/

* 01 Pc.19.考试.mp4 (21.60 MB), 04:09

python2024课程-Python数据分析海量数据营销

体系课

0 人浏览发布 2026-06-09更新 2026-06-09

Python数据分析海量数据营销

* 01 密码字典与工具生成/

* 01 Pc.1.1目标生成密码字典.mp4 (22.04 MB), 03:38

* 02 Pc.1.2排列与组合的计算.mp4 (42.64 MB), 12:43

* 03 Pc.1.3密码字典生成.mp4 (47.76 MB), 11:35

* 04 Pc.1.4密码生成器.mp4 (38.92 MB), 06:26

* 05 Pc.1.5密码提取.mp4 (37.02 MB), 07:53

* 06 Pc.1.6密码排序.mp4 (30.48 MB), 06:22

* 07 Pc.1.7密码统计次数逻辑.mp4 (47.67 MB), 12:53

* 08 Pc.1.8密码次数统计.mp4 (40.78 MB), 08:48

* 09 Pc.1.9密码提取成功.mp4 (59.12 MB), 09:44

* 10 Pc.1.10CSDN数据一步提取.mp4 (83.02 MB), 17:59

* 11 Pc.1.11数据提取.mp4 (82.28 MB), 16:56

* 12 Pc.1.12wxpython提取工具界面设计.mp4 (117.68 MB), 21:34

* 13 Pc.1.13wxpython工具提取工具实现.mp4 (142.77 MB), 22:20

* 14 Pc.1.14QT作业简介.mp4 (46.00 MB), 07:50

* 15 Pc.1.15作业.mp4 (49.48 MB), 10:49

* 02 文件排序与内存索引/

* 01 Pc.2.1时间装饰器.mp4 (32.05 MB), 08:32

* 02 Pc.2.2类装饰器.mp4 (13.29 MB), 02:21

* 03 Pc.2.3硬盘检索时间装饰器.mp4 (44.04 MB), 07:31

* 04 Pc.2.4内存检索装饰器.mp4 (118.06 MB), 29:50

* 05 Pc.2.5装饰器.mp4 (33.90 MB), 06:32

* 06 Pc.2.6装饰器的调用版.mp4 (29.27 MB), 08:19

* 07 Pc.2.7装饰器的参数.mp4 (30.84 MB), 09:07

* 08 Pc.搜索计时装饰器.mp4 (58.53 MB), 11:43

* 09 Pc.2.9常规搜索以及二分查找法原理.mp4 (46.03 MB), 12:27

* 10 Pc.2.10二分查找提高速度.mp4 (48.10 MB), 10:48

* 11 Pc.2.11拉格狼日查找.mp4 (90.57 MB), 19:30

* 12 Pc.2.12文件排序.mp4 (50.88 MB), 09:22

* 13 Pc.2.13内存索引随机访问.mp4 (61.66 MB), 14:00

* 14 Pc.2.14内存索引二分查找数据.mp4 (57.59 MB), 11:13

* 03 倒排索引与硬盘索引/

* 01 Pc.3.1索引保存到硬盘.mp4 (67.29 MB), 13:50

* 02 Pc.3.2硬盘索引的随机访问.mp4 (45.82 MB), 09:05

* 03 Pc.3.3硬盘索引的二分查找法.mp4 (45.21 MB), 07:11

* 04 Pc.3.4倒排索引的概念.mp4 (76.00 MB), 13:19

* 05 Pc.3.5倒排索引随机查找.mp4 (72.94 MB), 13:55

* 06 Pc.3.6倒排索引保存.mp4 (28.07 MB), 05:38

* 07 Pc.3.7倒排索引的内存二分查找.mp4 (26.98 MB), 04:37

* 08 Pc.3.8倒排索引的硬盘二分查找.mp4 (10.17 MB), 01:54

* 09 Pc.3.9数据类的封装与测试.mp4 (67.70 MB), 11:37

* 10 Pc.3.10数据网页查看服务.mp4 (54.39 MB), 11:45

* 11 Pc.3.11作业.mp4 (36.77 MB), 05:39

* 04 数据切割与归并/

* 01 Pc.4.1读取数据的行数.mp4 (86.48 MB), 16:16

* 02 Pc.4.4数据切割算法.mp4 (51.39 MB), 11:16

* 03 Pc.4.5数据切割实现.mp4 (73.59 MB), 12:59

* 04 Pc.4.10验证文件归并-数据切割.mp4 (16.82 MB), 03:56

* 05 Pc.4.11验证文件归并每个文件单独排序.mp4 (11.03 MB), 02:19

* 06 Pc.4.12文件归并排序法.mp4 (69.25 MB), 15:19

* 07 Pc.4.13作业.mp4 (50.08 MB), 12:47

* 08 Pc.4.14递归归并算法.mp4 (104.96 MB), 24:46

* 05 QQ大数据实战/

* 01 Pc.5.1QQ数据简介.mp4 (85.67 MB), 15:14

* 02 Pc.5.2分词处理.mp4 (124.92 MB), 22:01

* 03 Pc.5.3分词搜索.mp4 (24.39 MB), 07:04

* 04 Pc.5.4QQ群数据合并.mp4 (154.35 MB), 33:57

* 05 Pc.5.5QQ群数据抽取.mp4 (47.88 MB), 08:16

* 06 Pc.5.6QQ群数据归并.mp4 (209.35 MB), 34:27

* 07 Pc.5.7QQ群数据的模糊检索.mp4 (119.70 MB), 18:40

* 08 Pc.5.8制作索引的三种模式.mp4 (171.15 MB), 28:02

* 09 Pc.5.9QQ群数据随机访问以及硬盘二分查找.mp4 (67.18 MB), 10:48

* 10 Pc.5.10合并QQ数据.mp4 (115.91 MB), 18:41

* 11 Pc.5.11QQ数据索引.mp4 (32.24 MB), 06:47

* 12 Pc.5.12QQ群数据的随机访问.mp4 (30.98 MB), 06:07

* 13 Pc.5.13根据QQ群查找QQ号.mp4 (198.09 MB), 30:35

* 14 Pc.5.15作业.mp4 (63.14 MB), 13:59

* 06 tushare与numpy实战/

* 01 Pc.6.1部署tushare环境.mp4 (18.22 MB), 03:16

* 02 Pc.6.2Tushare简单使用.mp4 (156.26 MB), 23:43

* 03 Pc.6.3tushare保存数据.mp4 (90.57 MB), 15:55

* 04 Pc.6.4为啥使用Numpy.mp4 (25.85 MB), 04:11

* 05 Pc.6.5numpy创建数组.mp4 (39.33 MB), 07:47

* 06 Pc.6.6numpy数据类型.mp4 (108.74 MB), 23:40

* 07 Pc.6.7numpy数组常见属性.mp4 (71.01 MB), 13:37

* 08 Pc.6.8创建数组并对数组初始化.mp4 (49.30 MB), 10:41

* 09 Pc.6.9numpy根据已有数组创建数组.mp4 (73.29 MB), 12:16

* 10 Pc.6.10numpy根据已有序列创建数组.mp4 (100.64 MB), 19:02

* 07 numpy高级实战/

* 01 Pc.7.1一维数组切片.mp4 (60.80 MB), 11:52

* 02 Pc.7.2多维数组的切片.mp4 (54.03 MB), 09:28

* 03 Pc.7.3数据的高级索引.mp4 (105.44 MB), 23:43

* 04 Pc.7.4bool表达式索引.mp4 (21.91 MB), 04:25

* 05 Pc.7.5numPy广播.mp4 (31.11 MB), 05:27

* 06 Pc.7.6numpy迭代器.mp4 (24.31 MB), 04:50

* 07 Pc.7.7numpy迭代器的循环顺序.mp4 (34.90 MB), 06:03

* 08 Pc.7.8numy高级迭代.mp4 (52.87 MB), 08:33

* 09 Pc.7.9numpy数组变形折叠.mp4 (65.90 MB), 11:27

* 10 Pc.7.10numpy数组轴操作.mp4 (99.18 MB), 18:56

* 11 Pc.7.11numpy数组维度操作.mp4 (197.36 MB), 31:38

* 12 Pc.7.12numpy数组组合与切割.mp4 (88.78 MB), 14:14

* 13 Pc.7.13数组元素内部操作.mp4 (128.45 MB), 23:21

* 14 Pc.7.14numpy位操作与补码.mp4 (120.84 MB), 22:51

* 15 Pc.7.15numpy字符串.mp4 (60.26 MB), 11:52

* 08 numpy数据预览/

* 01 Pc.8.1numpy全局预览.mp4 (36.34 MB), 05:51

* 02 Pc.8.2numpy常见数据函数.mp4 (123.72 MB), 19:37

* 03 Pc.8.3numy常见数组计算.mp4 (86.05 MB), 18:18

* 04 Pc.8.4numpy统计计算.mp4 (160.52 MB), 35:21

* 05 Pc.8.5numpy数组排序计数搜索.mp4 (179.09 MB), 38:59

* 06 Pc.8.6大端与小端.mp4 (36.79 MB), 07:12

* 07 Pc.8.7视图与副本.mp4 (53.08 MB), 11:32

* 09 numpy线性处理与绘图序列化/

* 01 Pc.9.1numpy矩阵.mp4 (71.12 MB), 14:37

* 02 Pc.9.2numpy线性代数.mp4 (146.97 MB), 22:24

* 03 Pc.9.3numpy绘制函数曲线.mp4 (22.94 MB), 05:08

* 04 Pc.9.4numpy高级绘图.mp4 (73.56 MB), 12:14

* 05 Pc.9.5numpy序列化.mp4 (20.82 MB), 04:47

* 06 Pc.9.6未来岗位.mp4 (174.91 MB), 28:54

* 07 Pc.9.7numPy小结.mp4 (59.72 MB), 09:16

* 10 pandas数据处理技巧/

* 01 Pc.10.1pandas用于分析数据.mp4 (41.13 MB), 08:15

* 02 Pc.10.2pandas操作数据行与列.mp4 (0.06 MB), 00:00

* 03 Pc.10.3pandas结合tushare选择行与列.mp4 (73.34 MB), 12:32

* 04 Pc.10.4pandas选择多列与计次.mp4 (53.89 MB), 09:48

* 05 Pc.10.5pandas对比数据框架索引.mp4 (62.79 MB), 10:02

* 06 Pc.10.6panda类型Series.mp4 (145.29 MB), 33:53

* 07 Pc.10.7pandas实战dataframe.mp4 (195.59 MB), 38:42

* 08 Pc.10.8pandasDataFrame与Series计算.mp4 (76.49 MB), 18:46

* 09 Pc.10.9上午小结.mp4 (10.01 MB), 02:03

* 11 pandas数据处理技巧/

* 01 Pc.11.1pandas.DataFrame实战复习.mp4 (73.26 MB), 14:32

* 02 Pc.11.2pandas.Series实战复习.mp4 (55.73 MB), 10:27

* 03 Pc.11.3pandas处理txt.csv.xls.json数据.mp4 (152.07 MB), 23:59

* 04 Pc.11.4pandas处理mysql数据库.mp4 (87.11 MB), 14:48

* 05 Pc.11.5.None与np.nan用于数据缺失.mp4 (48.30 MB), 14:17

* 06 Pc.11.6pandas处理缺失数据.mp4 (106.50 MB), 22:34

* 07 Pc.11.7pandas_nasa数据实战1.mp4 (109.47 MB), 23:38

* 08 Pc.11.8pandas_nasa数据实战2.mp4 (67.10 MB), 15:14

* 09 Pc.11.9pandas处理数据的多层索引.mp4 (107.26 MB), 23:12

* 10 Pc.11.10pandas多层索引.索引与切片.mp4 (63.59 MB), 12:24

* 11 Pc.11.11pandas多层索引的聚合与统计.mp4 (57.53 MB), 12:52

* 12 Pc.11.12作业.mp4 (17.22 MB), 04:57

* 12 pandas数据归并/

* 01 Pc.12.1pandas数据的拼接.mp4 (132.81 MB), 29:17

* 02 Pc.12.2pandas gupiao数据拼接.mp4 (57.66 MB), 09:37

* 03 Pc.12.3pandas不匹配数据的拼接.mp4 (47.39 MB), 10:19

* 04 Pc.12.4pandas数据归并.mp4 (81.74 MB), 16:15

* 05 Pc.12.5pandasgupiao数据归并.mp4 (33.98 MB), 06:13

* 06 Pc.12.6pandas左右归并.mp4 (83.06 MB), 17:11

* 07 Pc.12.7pandas内归并与外归并.mp4 (25.86 MB), 05:41

* 08 Pc.12.8pandas列冲突.mp4 (11.94 MB), 02:55

* 09 Pc.12.9美国数据预处理清洗缺失.mp4 (162.90 MB), 29:00

* 10 Pc.12.10美国数据计算分析密度.mp4 (51.93 MB), 09:02

* 11 Pc.12.11pandas与NumPy计算对比.mp4 (32.95 MB), 07:47

* 13 pandas gupiao数据实战/

* 01 Pc.13.1pandas处理数据归并关系一对一一对多多对多.mp4 (59.47 MB), 13:45

* 02 Pc.13.2pandas替换index新建序列删除重复数据替换.mp4 (120.34 MB), 27:57

* 03 Pc.13.3pandas与numpy协同处理数据.mp4 (42.54 MB), 07:50

* 04 Pc.13.4pandas_take随机抽样排序.mp4 (23.89 MB), 05:36

* 05 Pc.13.5pandas聚合操作.mp4 (31.23 MB), 06:31

* 06 Pc.13.6pandas自定义聚合计算.mp4 (25.49 MB), 05:48

* 07 Pc.13.7处理gupiao数据绘制股价走势图.mp4 (104.37 MB), 22:52

* 08 Pc.13.8金融数据简单绘图.mp4 (25.82 MB), 05:21

* 09 Pc.13.9统计方法.mp4 (190.46 MB), 38:10

* 10 Pc.13.10作业.mp4 (44.27 MB), 08:09

* 14 综合绘图实战/

* 01 Pc.14.1pandas回顾.mp4 (28.96 MB), 04:38

* 02 Pc.14.2matplotlib简单绘图.mp4 (58.49 MB), 11:22

* 03 Pc.14.3numpy整合matplotlib绘图.mp4 (10.66 MB), 01:56

* 04 Pc.14.4numy.pandas.matplotlib绘图.mp4 (77.52 MB), 15:07

* 05 Pc.14.5数据工程师必备DataView.mp4 (201.24 MB), 39:28

* 06 Pc.14.6解决中文乱码.mp4 (13.56 MB), 02:58

* 07 Pc.14.7pandasSeries与DataFrame绘图详解.mp4 (68.95 MB), 14:35

* 08 Pc.14.8matplotlib简单绘图载入数据.mp4 (42.73 MB), 07:04

* 09 Pc.14.9matplot样式简介.mp4 (0.04 MB), 00:00

* 10 Pc.14.10matplotlib子图.mp4 (94.54 MB), 18:02

* 11 Pc.14.11matplotlib收尾.mp4 (28.05 MB), 05:56

* 12 Pc.14.12作业.mp4 (5.22 MB), 01:47

* 15 pyechart绘图实战/

* 01 Pc.15.1.PyEcharts环境配置.mp4 (27.35 MB), 04:15

* 02 Pc.15.2绘制柱状图html5.mp4 (25.72 MB), 05:00

* 03 Pc.15.3jupyter绘图.mp4 (12.72 MB), 02:27

* 04 Pc.15.4柱状图第一个.mp4 (33.61 MB), 10:04

* 05 Pc.15.5柱状图详细参数.mp4 (38.66 MB), 08:14

* 06 Pc.15.6绘图技巧.mp4 (60.86 MB), 09:26

* 07 Pc.15.7柱状图迁移.mp4 (141.37 MB), 21:58

* 08 Pc.15.8折线图.mp4 (123.06 MB), 20:26

* 09 Pc.15.9地图绘制.mp4 (34.28 MB), 05:49

* 10 Pc.15.10可视化简历.mp4 (21.05 MB), 03:32

* 11 Pc.15.11flask入门.mp4 (43.41 MB), 07:15

* 12 Pc.15.12flask数据可视化.mp4 (119.17 MB), 18:42

* 16 matplotlib绘图实战/

* 01 Pc.16.1web可视化框架小结.mp4 (140.06 MB), 22:29

* 02 Pc.16.2web可视化产出图片pdf网页js.mp4 (103.34 MB), 15:50

* 03 Pc.16.3web多个页面page展示.mp4 (40.84 MB), 06:25

* 04 Pc.16.4matplotlib简介.mp4 (30.00 MB), 06:21

* 05 Pc.16.5matplotlib折线图.mp4 (19.59 MB), 04:44

* 06 Pc.16.6matplot中文乱码.mp4 (16.13 MB), 02:54

* 07 Pc.16.7matplotlib条形图和直方图.mp4 (41.24 MB), 07:01

* 08 Pc.16.8matplotlib散点图.mp4 (31.74 MB), 05:11

* 09 Pc.16.9matplotlib波浪图.mp4 (22.79 MB), 03:44

* 10 Pc.16.10matplotlib饼图.mp4 (12.37 MB), 02:51

* 17 matplotlib绘图延申/

* 01 Pc.17.1.matplotlib.mp4 (85.15 MB), 13:32

* 18 seaborn绘图/

* 01 Pc.18.1seaborn绘图.mp4 (168.60 MB), 25:52

* 19 数据分析阶段性考试/

* 01 Pc.19.考试.mp4 (21.60 MB), 04:09