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[FreeCoursesOnline.Me] Data Camp - Python Programmer [Career Track]

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种子名称: [FreeCoursesOnline.Me] Data Camp - Python Programmer [Career Track]
文件类型: 视频
文件数目: 181个文件
文件大小: 3.89 GB
收录时间: 2021-6-23 20:43
已经下载: 3
资源热度: 215
最近下载: 2024-6-8 02:13

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[FreeCoursesOnline.Me] Data Camp - Python Programmer [Career Track].torrent
  • 10_Writing_Functions_With_Python/1.mp418.99MB
  • 10_Writing_Functions_With_Python/10.mp416MB
  • 10_Writing_Functions_With_Python/11.mp412.38MB
  • 10_Writing_Functions_With_Python/12.mp411.49MB
  • 10_Writing_Functions_With_Python/13.mp412.86MB
  • 10_Writing_Functions_With_Python/14.mp411.79MB
  • 10_Writing_Functions_With_Python/15.mp44.72MB
  • 10_Writing_Functions_With_Python/2.mp421.45MB
  • 10_Writing_Functions_With_Python/3.mp411.53MB
  • 10_Writing_Functions_With_Python/4.mp414.84MB
  • 10_Writing_Functions_With_Python/5.mp413.5MB
  • 10_Writing_Functions_With_Python/6.mp415.38MB
  • 10_Writing_Functions_With_Python/7.mp413.94MB
  • 10_Writing_Functions_With_Python/8.mp410.04MB
  • 10_Writing_Functions_With_Python/9.mp415.65MB
  • 11_Parallel_Programming_With_Dask/1.mp422.62MB
  • 11_Parallel_Programming_With_Dask/10.mp435.36MB
  • 11_Parallel_Programming_With_Dask/11.mp480.8MB
  • 11_Parallel_Programming_With_Dask/12.mp472.84MB
  • 11_Parallel_Programming_With_Dask/13.mp461.94MB
  • 11_Parallel_Programming_With_Dask/14.mp457.27MB
  • 11_Parallel_Programming_With_Dask/15.mp430.78MB
  • 11_Parallel_Programming_With_Dask/16.mp457.48MB
  • 11_Parallel_Programming_With_Dask/17.mp45.84MB
  • 11_Parallel_Programming_With_Dask/2.mp453.52MB
  • 11_Parallel_Programming_With_Dask/3.mp461.5MB
  • 11_Parallel_Programming_With_Dask/4.mp474.21MB
  • 11_Parallel_Programming_With_Dask/5.mp484.27MB
  • 11_Parallel_Programming_With_Dask/6.mp479.66MB
  • 11_Parallel_Programming_With_Dask/7.mp483.95MB
  • 11_Parallel_Programming_With_Dask/8.mp474.28MB
  • 11_Parallel_Programming_With_Dask/9.mp467.43MB
  • 12_Software_Engineering_For_Data_Scientists/1.mp411.17MB
  • 12_Software_Engineering_For_Data_Scientists/10.mp415.04MB
  • 12_Software_Engineering_For_Data_Scientists/11.mp413.18MB
  • 12_Software_Engineering_For_Data_Scientists/12.mp413.61MB
  • 12_Software_Engineering_For_Data_Scientists/13.mp415.94MB
  • 12_Software_Engineering_For_Data_Scientists/14.mp414.78MB
  • 12_Software_Engineering_For_Data_Scientists/15.mp42.85MB
  • 12_Software_Engineering_For_Data_Scientists/2.mp415.7MB
  • 12_Software_Engineering_For_Data_Scientists/3.mp414.11MB
  • 12_Software_Engineering_For_Data_Scientists/4.mp410.76MB
  • 12_Software_Engineering_For_Data_Scientists/5.mp412.17MB
  • 12_Software_Engineering_For_Data_Scientists/6.mp413.8MB
  • 12_Software_Engineering_For_Data_Scientists/7.mp414.77MB
  • 12_Software_Engineering_For_Data_Scientists/8.mp413.49MB
  • 12_Software_Engineering_For_Data_Scientists/9.mp416.16MB
  • 13_Unit_Testing/1.mp415.18MB
  • 13_Unit_Testing/10.mp417.07MB
  • 13_Unit_Testing/11.mp424.49MB
  • 13_Unit_Testing/12.mp436.12MB
  • 13_Unit_Testing/13.mp418.54MB
  • 13_Unit_Testing/14.mp417.73MB
  • 13_Unit_Testing/15.mp411.26MB
  • 13_Unit_Testing/16.mp411.97MB
  • 13_Unit_Testing/17.mp45.53MB
  • 13_Unit_Testing/2.mp417.97MB
  • 13_Unit_Testing/3.mp423.4MB
  • 13_Unit_Testing/4.mp417.83MB
  • 13_Unit_Testing/5.mp417.81MB
  • 13_Unit_Testing/6.mp418.31MB
  • 13_Unit_Testing/7.mp423.04MB
  • 13_Unit_Testing/8.mp414.21MB
  • 13_Unit_Testing/9.mp424.24MB
  • 1_Intro_To_Data_Science_In_Python/1.mp435.57MB
  • 1_Intro_To_Data_Science_In_Python/10.ts20.79MB
  • 1_Intro_To_Data_Science_In_Python/11.ts27.23MB
  • 1_Intro_To_Data_Science_In_Python/12.ts30.42MB
  • 1_Intro_To_Data_Science_In_Python/13.ts23.37MB
  • 1_Intro_To_Data_Science_In_Python/2.mp436.72MB
  • 1_Intro_To_Data_Science_In_Python/3.mp434.01MB
  • 1_Intro_To_Data_Science_In_Python/4.ts17.71MB
  • 1_Intro_To_Data_Science_In_Python/5.ts27.66MB
  • 1_Intro_To_Data_Science_In_Python/6.ts67.03MB
  • 1_Intro_To_Data_Science_In_Python/7.ts27.49MB
  • 1_Intro_To_Data_Science_In_Python/8.ts28.93MB
  • 1_Intro_To_Data_Science_In_Python/9.ts29.62MB
  • 2_Datatypes_For_Python_Data_Science/1.mp418.13MB
  • 2_Datatypes_For_Python_Data_Science/10.mp49.08MB
  • 2_Datatypes_For_Python_Data_Science/11.mp44.45MB
  • 2_Datatypes_For_Python_Data_Science/12.mp46.42MB
  • 2_Datatypes_For_Python_Data_Science/13.mp44MB
  • 2_Datatypes_For_Python_Data_Science/14.mp45.59MB
  • 2_Datatypes_For_Python_Data_Science/15.mp46.77MB
  • 2_Datatypes_For_Python_Data_Science/16.mp46.78MB
  • 2_Datatypes_For_Python_Data_Science/17.mp42.15MB
  • 2_Datatypes_For_Python_Data_Science/2.mp416.43MB
  • 2_Datatypes_For_Python_Data_Science/3.mp417.93MB
  • 2_Datatypes_For_Python_Data_Science/4.mp47.82MB
  • 2_Datatypes_For_Python_Data_Science/5.mp42.94MB
  • 2_Datatypes_For_Python_Data_Science/6.mp44.32MB
  • 2_Datatypes_For_Python_Data_Science/7.mp43.31MB
  • 2_Datatypes_For_Python_Data_Science/8.mp44.31MB
  • 2_Datatypes_For_Python_Data_Science/9.mp46.83MB
  • 3_Data_Manipulation with Pandas/Columns.mp45.27MB
  • 3_Data_Manipulation with Pandas/Counting.mp420.51MB
  • 3_Data_Manipulation with Pandas/Creating_DataFrames.mp414.14MB
  • 3_Data_Manipulation with Pandas/Data_Manipulation with Pandas.mp440.19MB
  • 3_Data_Manipulation with Pandas/Explicit Indexes.mp433.07MB
  • 3_Data_Manipulation with Pandas/Grouped Summary Statistics.mp412.27MB
  • 3_Data_Manipulation with Pandas/Missing_Values_With_Pandas.mp420.6MB
  • 3_Data_Manipulation with Pandas/Pivot_Tables.mp416.25MB
  • 3_Data_Manipulation with Pandas/Pivot_Tables_Subsetting.mp415.43MB
  • 3_Data_Manipulation with Pandas/Reading and Writing .CSV Values.mp49.53MB
  • 3_Data_Manipulation with Pandas/Slicing and Subsetting with iloc and loc.mp434.85MB
  • 3_Data_Manipulation with Pandas/Sorting and Subsetting.mp432.72MB
  • 3_Data_Manipulation with Pandas/Summary Statistics.mp416.3MB
  • 3_Data_Manipulation with Pandas/Visualizing the Data With Pandas.mp417.53MB
  • 4_Python_Data_Science_ToolBox_Part-1/11_Bringing_It_All_Together.mp411.8MB
  • 4_Python_Data_Science_ToolBox_Part-1/12_Congratulations!.mp430.14MB
  • 4_Python_Data_Science_ToolBox_Part-1/1_User_Defined_Functions.mp421.61MB
  • 4_Python_Data_Science_ToolBox_Part-1/2_Multiple_Parameters_and_Return_Values.mp420.95MB
  • 4_Python_Data_Science_ToolBox_Part-1/3_Bringing_It_All_Together.mp421.4MB
  • 4_Python_Data_Science_ToolBox_Part-1/4_Congratulations.mp416.65MB
  • 4_Python_Data_Science_ToolBox_Part-1/5_Scope_and_User_Defined_Functions.mp465.92MB
  • 4_Python_Data_Science_ToolBox_Part-1/6_Nested_Functions.mp463.68MB
  • 4_Python_Data_Science_ToolBox_Part-1/7_Default_and_Flexible_Arguments.mp453.65MB
  • 4_Python_Data_Science_ToolBox_Part-1/8_Bringing_It_All_Together.mp426.54MB
  • 4_Python_Data_Science_ToolBox_Part-1/8_Lambda_Function.mp428.78MB
  • 4_Python_Data_Science_ToolBox_Part-1/9_Introduction_To_Error_Handling.mp453.54MB
  • 5_Introduction_to_Data_Science_ToolBox_Part_2/0_Intro_To_iterators.mp451.88MB
  • 5_Introduction_to_Data_Science_ToolBox_Part_2/10_Using_Pandas_read_csv_Iterator_For_Streaming_Data.mp414.31MB
  • 5_Introduction_to_Data_Science_ToolBox_Part_2/11_Final_Thoughts.mp410.13MB
  • 5_Introduction_to_Data_Science_ToolBox_Part_2/1_Playing_with_Iterators.mp432.42MB
  • 5_Introduction_to_Data_Science_ToolBox_Part_2/2_Using_Iterators_To_Load_Large_Files_To_Memory.mp442.59MB
  • 5_Introduction_to_Data_Science_ToolBox_Part_2/3_Congratulations!.mp431.99MB
  • 5_Introduction_to_Data_Science_ToolBox_Part_2/4_List_Comprehension.mp445.4MB
  • 5_Introduction_to_Data_Science_ToolBox_Part_2/5_Advanced_Comprehension.mp429.05MB
  • 5_Introduction_to_Data_Science_ToolBox_Part_2/6_Intro_To_Generator_Expressions.mp463.65MB
  • 5_Introduction_to_Data_Science_ToolBox_Part_2/7_Wrapping_Up_Comprehensions_and_Generators.mp419.14MB
  • 5_Introduction_to_Data_Science_ToolBox_Part_2/8_Welcome_To_Case_Study.mp438.03MB
  • 5_Introduction_to_Data_Science_ToolBox_Part_2/9_Using_Python_Generators_For_Streaming_Data.mp427.69MB
  • 6_Efficient_Python_Code/1.mp414.91MB
  • 6_Efficient_Python_Code/10.mp418.04MB
  • 6_Efficient_Python_Code/11.mp418.38MB
  • 6_Efficient_Python_Code/12.mp411.26MB
  • 6_Efficient_Python_Code/13.mp412.7MB
  • 6_Efficient_Python_Code/14.mp412.67MB
  • 6_Efficient_Python_Code/15.mp44.87MB
  • 6_Efficient_Python_Code/2.mp413.33MB
  • 6_Efficient_Python_Code/3.mp413.97MB
  • 6_Efficient_Python_Code/4.mp418.45MB
  • 6_Efficient_Python_Code/5.mp418.16MB
  • 6_Efficient_Python_Code/6.mp422.87MB
  • 6_Efficient_Python_Code/7.mp426.29MB
  • 6_Efficient_Python_Code/8.mp419.81MB
  • 6_Efficient_Python_Code/9.mp415.7MB
  • 7_Dates_and_Time/1.mp45.34MB
  • 7_Dates_and_Time/10.mp45.05MB
  • 7_Dates_and_Time/11.mp46.25MB
  • 7_Dates_and_Time/12.mp46.92MB
  • 7_Dates_and_Time/13.mp46.44MB
  • 7_Dates_and_Time/14.mp44.81MB
  • 7_Dates_and_Time/2.mp412.69MB
  • 7_Dates_and_Time/3.mp44.8MB
  • 7_Dates_and_Time/5.mp46.07MB
  • 7_Dates_and_Time/6.mp43.98MB
  • 7_Dates_and_Time/7.mp46.74MB
  • 7_Dates_and_Time/8.mp44.54MB
  • 7_Dates_and_Time/Dates and times - Python.mp46.34MB
  • 7_Dates_and_Time/Starting daylight saving time - Python.mp46.06MB
  • 8_Regular_Expressions/1.mp413.84MB
  • 8_Regular_Expressions/2.mp412.83MB
  • 8_Regular_Expressions/3.mp416.23MB
  • 9_Web_Scrapping/1.mp417.57MB
  • 9_Web_Scrapping/10.mp414.17MB
  • 9_Web_Scrapping/11.mp410.12MB
  • 9_Web_Scrapping/12.mp418.65MB
  • 9_Web_Scrapping/13.mp412.55MB
  • 9_Web_Scrapping/14.mp416.36MB
  • 9_Web_Scrapping/15.mp415.48MB
  • 9_Web_Scrapping/16.mp415.47MB
  • 9_Web_Scrapping/17.mp410.15MB
  • 9_Web_Scrapping/2.mp418.16MB
  • 9_Web_Scrapping/3.mp418.2MB
  • 9_Web_Scrapping/4.mp410.71MB
  • 9_Web_Scrapping/5.mp414.79MB
  • 9_Web_Scrapping/6.mp420.61MB
  • 9_Web_Scrapping/7.mp411.52MB
  • 9_Web_Scrapping/8.mp412.38MB
  • 9_Web_Scrapping/9.mp416.65MB