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种子名称： O'Reilly - Introduction to Pandas for Developers
文件类型： 视频
文件数目： 83个文件
文件大小： 1.06 GB
收录时间： 2017-3-21 17:42
已经下载： 3次
资源热度： 180
最近下载： 2024-12-18 08:47

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O'Reilly - Introduction to Pandas for Developers.torrent

01. Introduction/01_01-What Is Pandas.mp46.61MB

01. Introduction/01_02-About The Author.mp42.13MB

01. Introduction/01_03-Installation.mp410.56MB

01. Introduction/01_04-Pandas Vs. Other Platforms.mp45.36MB

01. Introduction/01_05-How To Access Your Working Files.mp426.38MB

02. Basic Series/02_01-Python Lists.mp44.37MB

02. Basic Series/02_02-Numpy 1D Arrays.mp413.66MB

02. Basic Series/02_03-Pandas Series.mp410.13MB

02. Basic Series/02_04-Boolean Arrays.mp410.57MB

02. Basic Series/02_05-Series Index.mp49.96MB

03. More Series/03_01-Data Types.mp47.9MB

03. More Series/03_02-Iteration.mp48.87MB

03. More Series/03_03-Broadcasting Operations.mp413.52MB

03. More Series/03_04-Crud Operations Reading.mp418.99MB

03. More Series/03_05-Crud Operations Update.mp417.42MB

03. More Series/03_06-Crud Operations Deletion.mp46.28MB

03. More Series/03_07-Summary Statistics.mp414.97MB

03. More Series/03_08-Dealing With Duplicates.mp418.2MB

03. More Series/03_09-Dealing With Nan.mp417.9MB

03. More Series/03_10-Plotting.mp49.67MB

03. More Series/03_11-Serialization.mp411.61MB

04. Dataframe Basics/04_01-Columnar Data.mp48.93MB

04. Dataframe Basics/04_02-Similarities To Python Dictionaries.mp414.28MB

04. Dataframe Basics/04_03-Creation From Lists And Dicts.mp411.63MB

04. Dataframe Basics/04_04-Reading CSV Files.mp44.86MB

05. Relational Algebra/05_01-Selection.mp424.67MB

05. Relational Algebra/05_02-Projection.mp410.33MB

05. Relational Algebra/05_03-Cartesian Product.mp421.66MB

05. Relational Algebra/05_04-Union.mp412.53MB

05. Relational Algebra/05_05-Difference.mp48.74MB

06. More Dataframes/06_01-Exploring Data.mp411.03MB

06. More Dataframes/06_02-Axes Of Dataframes.mp45.86MB

06. More Dataframes/06_03-Index And Columns.mp49.32MB

06. More Dataframes/06_04-Summary Statistics.mp411.32MB

06. More Dataframes/06_05-Histograms.mp416.74MB

06. More Dataframes/06_06-Transposing Data.mp45.49MB

07. Tweaking Dataframes/07_01-Adding Rows.mp418.39MB

07. Tweaking Dataframes/07_02-Adding Columns.mp47.15MB

07. Tweaking Dataframes/07_03-Applying Functions To Columns.mp411.7MB

07. Tweaking Dataframes/07_04-Removing Columns.mp47.15MB

07. Tweaking Dataframes/07_05-Sorting Data.mp422.04MB

07. Tweaking Dataframes/07_06-Iteration Over Data.mp415.92MB

07. Tweaking Dataframes/07_07-Setting Data.mp418.31MB

08. Joins/08_01-Concat With Rows.mp410.46MB

08. Joins/08_02-Concat With Cols.mp45.79MB

08. Joins/08_03-Inner Join.mp47.3MB

08. Joins/08_04-Outer Join.mp410.42MB

08. Joins/08_05-Left Join.mp47.67MB

08. Joins/08_06-Right Join.mp44.13MB

08. Joins/08_07-Join On Index.mp47.96MB

09. Filtering Dataframes/09_01-Filtering Columns.mp47.19MB

09. Filtering Dataframes/09_02-Boolean Arrays.mp43MB

09. Filtering Dataframes/09_03-Filtering Rows.mp42.45MB

09. Filtering Dataframes/09_04-Using Functions To Filter.mp410.28MB

09. Filtering Dataframes/09_05-Boolean Operations For Filtering.mp48.12MB

09. Filtering Dataframes/09_06-Dealing With Nan.mp49.81MB

10. Grouping/10_01-Basic Grouping.mp410.27MB

10. Grouping/10_02-More Grouping.mp410.92MB

10. Grouping/10_03-Pivoting.mp414.73MB

10. Grouping/10_04-StackingUnstacking.mp47.6MB

11. Serialization/11_01-CSV Reading And Writing.mp420.26MB

11. Serialization/11_02-JSON.mp421.03MB

11. Serialization/11_03-Pickle.mp46.33MB

11. Serialization/11_04-Numpy.mp47.65MB

11. Serialization/11_05-Excel.mp412.17MB

12. Plotting/12_01-Basic Plotting.mp417.86MB

12. Plotting/12_02-Histograms.mp422.38MB

12. Plotting/12_03-Bar Plots.mp49.89MB

12. Plotting/12_04-Line Plots.mp412.8MB

12. Plotting/12_05-Faceting.mp416.96MB

13. Time Series/13_01-Date Manipulation.mp420.9MB

13. Time Series/13_02-Window Functions.mp420.15MB

13. Time Series/13_03-Plotting.mp45.83MB

14. Machine Learning/14_01-Using Pandas With ScikitLearn.mp418.05MB

14. Machine Learning/14_02-Sample Regression.mp415.51MB

15. Sample Application/15_01-Crawling Data.mp438.28MB

15. Sample Application/15_02-Crawling Data Part 2.mp422.39MB

15. Sample Application/15_03-Munging Data.mp423.23MB

15. Sample Application/15_04-Munging Data Part 2.mp423.46MB

15. Sample Application/15_05-Plotting Data.mp441.14MB

15. Sample Application/15_06-Creating An Infographic.mp424.8MB

15. Sample Application/15_07-Creating An Infographic Part 2.mp419.43MB

16. Conclusion/16_01-Conclusion.mp4922.18KB