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/01 - Installation and Setup/
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001 Introduction to Data Analysis with Pandas and Python.mp4
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131.4 MB
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001 Introduction to Data Analysis with Pandas and Python_en.srt
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20.0 KB
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002 About Me.mp4
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6.3 MB
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002 About Me_en.srt
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1.7 KB
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003 Completed Course Files.html
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1.0 KB
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004 macOS - Download the Anaconda Distribution, our Python development environment.mp4
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10.3 MB
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004 macOS - Download the Anaconda Distribution, our Python development environment_en.srt
|
7.3 KB
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005 macOS - Install Anaconda Distribution.mp4
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43.2 MB
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005 macOS - Install Anaconda Distribution_en.srt
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13.1 KB
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006 macOS - Access the Terminal Application.mp4
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54.3 MB
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006 macOS - Access the Terminal Application_en.srt
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14.9 KB
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007 macOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4
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62.1 MB
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007 macOS - Create conda Environment and Install pandas and Jupyter Notebook_en.srt
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22.6 KB
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008 macOS - Unpack Course Materials + The Start and Shutdown Process.mp4
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54.5 MB
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008 macOS - Unpack Course Materials + The Start and Shutdown Process_en.srt
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22.9 KB
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009 Windows - Download the Anaconda Distribution.mp4
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10.7 MB
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009 Windows - Download the Anaconda Distribution_en.srt
|
7.7 KB
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010 Windows - Install Anaconda Distribution.mp4
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17.1 MB
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010 Windows - Install Anaconda Distribution_en.srt
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10.6 KB
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011 Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4
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50.1 MB
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011 Windows - Create conda Environment and Install pandas and Jupyter Notebook_en.srt
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31.4 KB
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012 Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4
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28.5 MB
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012 Windows - Unpack Course Materials + The Startdown and Shutdown Process_en.srt
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22.5 KB
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013 Intro to the Jupyter Notebook Interface.mp4
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17.1 MB
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013 Intro to the Jupyter Notebook Interface_en.srt
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16.2 KB
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014 Cell Types and Cell Modes in Jupyter Notebook.mp4
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11.0 MB
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014 Cell Types and Cell Modes in Jupyter Notebook_en.srt
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11.3 KB
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015 Code Cell Execution in Jupyter Notebook.mp4
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4.9 MB
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015 Code Cell Execution in Jupyter Notebook_en.srt
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4.6 KB
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016 Popular Keyboard Shortcuts in Jupyter Notebook.mp4
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8.5 MB
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016 Popular Keyboard Shortcuts in Jupyter Notebook_en.srt
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5.7 KB
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017 Import Libraries into Jupyter Notebook.mp4
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15.2 MB
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017 Import Libraries into Jupyter Notebook_en.srt
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13.3 KB
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018 Troubleshooting Issues with Jupyter Notebook.html
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0.4 KB
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21929926-pandas.zip
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701.2 KB
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23001890-pandas.zip
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702.7 KB
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24889460-notebooks.zip
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286.6 KB
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7040216-pandas.zip
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701.2 KB
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external-assets-links.txt
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0.2 KB
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/02 - BONUS_ Python Crash Course/
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001 Intro to the Python Crash Course.mp4
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8.0 MB
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001 Intro to the Python Crash Course_en.srt
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6.1 KB
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002 Comments.mp4
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4.3 MB
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002 Comments_en.srt
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5.2 KB
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003 Basic Data Types.mp4
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19.1 MB
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003 Basic Data Types_en.srt
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17.3 KB
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004 Operators.mp4
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29.4 MB
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004 Operators_en.srt
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24.9 KB
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005 Variables.mp4
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13.9 MB
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005 Variables_en.srt
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13.0 KB
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006 Built-in Functions.mp4
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19.2 MB
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006 Built-in Functions_en.srt
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17.3 KB
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007 Custom Functions.mp4
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32.4 MB
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007 Custom Functions_en.srt
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26.6 KB
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008 String Methods.mp4
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42.1 MB
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008 String Methods_en.srt
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32.7 KB
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009 Lists.mp4
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29.8 MB
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009 Lists_en.srt
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20.9 KB
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010 Index Positions and Slicing.mp4
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31.5 MB
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010 Index Positions and Slicing_en.srt
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24.2 KB
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011 Dictionaries.mp4
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30.5 MB
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011 Dictionaries_en.srt
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24.5 KB
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/03 - Series/
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001 Create Jupyter Notebook for the Series Module.mp4
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3.1 MB
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001 Create Jupyter Notebook for the Series Module_en.srt
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3.6 KB
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002 Create A Series Object from a Python List.mp4
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23.7 MB
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002 Create A Series Object from a Python List_en.srt
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17.5 KB
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003 Create A Series Object from a Python Dictionary.mp4
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6.8 MB
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003 Create A Series Object from a Python Dictionary_en.srt
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4.6 KB
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004 Coding Exercise SOLUTION_ Create a Series Object.html
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0.9 KB
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005 Intro to Attributes on a Series Object.mp4
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19.8 MB
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005 Intro to Attributes on a Series Object_en.srt
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11.9 KB
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006 Intro to Methods on a Series Object.mp4
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10.0 MB
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006 Intro to Methods on a Series Object_en.srt
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7.9 KB
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007 Parameters and Arguments.mp4
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31.1 MB
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007 Parameters and Arguments_en.srt
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15.4 KB
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008 Create Series from Dataset with the pd.read_csv Method.mp4
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30.8 MB
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008 Create Series from Dataset with the pd.read_csv Method_en.srt
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24.2 KB
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009 Coding Exercise SOLUTION_ Import Series with the read_csv Function.html
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0.7 KB
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010 Use the head and tail Methods to Return Rows from Beginning and End of Dataset.mp4
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9.0 MB
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010 Use the head and tail Methods to Return Rows from Beginning and End of Dataset_en.srt
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5.5 KB
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011 Passing pandas Objects to Python Built-In Functions.mp4
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12.7 MB
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011 Passing pandas Objects to Python Built-In Functions_en.srt
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8.0 KB
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012 Accessing More Series Attributes.mp4
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26.9 MB
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012 Accessing More Series Attributes_en.srt
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9.4 KB
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013 Use the sort_values method to sort a Series in ascending or descending order.mp4
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29.9 MB
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013 Use the sort_values method to sort a Series in ascending or descending order_en.srt
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9.6 KB
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014 Use the inplace Parameter to permanently mutate a pandas data structure.mp4
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15.0 MB
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014 Use the inplace Parameter to permanently mutate a pandas data structure_en.srt
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8.6 KB
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015 Use the sort_index Method to Sort the Index of a pandas Series object.mp4
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11.8 MB
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015 Use the sort_index Method to Sort the Index of a pandas Series object_en.srt
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7.3 KB
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016 Coding Exercise SOLUTION_ The sort_values and sort_index Methods.html
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1.2 KB
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017 Use Python's in Keyword to Check for Inclusion in Series values or index.mp4
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9.7 MB
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017 Use Python's in Keyword to Check for Inclusion in Series values or index_en.srt
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6.0 KB
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018 Extract Series Values by Index Positiox.mp4
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24.6 MB
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018 Extract Series Values by Index Positiox_en.srt
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6.6 KB
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019 Extract Series Values by Index Label.mp4
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23.2 MB
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019 Extract Series Values by Index Label_en.srt
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16.2 KB
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020 Coding Exercise SOLUTION_ Extract Series Values by Index Position or Index Label.html
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0.9 KB
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021 Use the get Method to Retrieve a Value for an index label in a Series.mp4
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21.6 MB
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021 Use the get Method to Retrieve a Value for an index label in a Series_en.srt
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14.6 KB
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022 Math Methods on Series Objects.mp4
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16.0 MB
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022 Math Methods on Series Objects_en.srt
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8.2 KB
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023 Use the idxmax and idxmin Methods to Find Index of Greatest or Smallest Value.mp4
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9.2 MB
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023 Use the idxmax and idxmin Methods to Find Index of Greatest or Smallest Value_en.srt
|
4.6 KB
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024 Use the value_counts Method to See Counts of Unique Values within a Series.mp4
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8.6 MB
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024 Use the value_counts Method to See Counts of Unique Values within a Series_en.srt
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5.5 KB
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025 Use the apply Method to Invoke a Function on Every Series Values.mp4
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19.2 MB
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025 Use the apply Method to Invoke a Function on Every Series Values_en.srt
|
10.2 KB
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026 The Series#map Method.mp4
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23.7 MB
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026 The Series#map Method_en.srt
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10.1 KB
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external-assets-links.txt
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0.7 KB
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/04 - DataFrames I_ Introduction/
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001 Intro to DataFrames I Module.mp4
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52.2 MB
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001 Intro to DataFrames I Module_en.srt
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15.5 KB
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002 Shared Methods and Attributes between Series and DataFrames.mp4
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44.6 MB
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002 Shared Methods and Attributes between Series and DataFrames_en.srt
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22.4 KB
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003 Differences between Shared Methods.mp4
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28.3 MB
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003 Differences between Shared Methods_en.srt
|
10.3 KB
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004 Select One Column from a DataFrame.mp4
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44.3 MB
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004 Select One Column from a DataFrame_en.srt
|
12.5 KB
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005 Coding Exercise SOLUTION_ Select One Column from a DataFrame.html
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0.6 KB
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006 Select Two or More Columns from a DataFrame.mp4
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13.6 MB
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006 Select Two or More Columns from a DataFrame_en.srt
|
8.6 KB
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007 Coding Exercise SOLUTION_ Select Two or More Columns from a DataFrame.html
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0.8 KB
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008 Add New Column to DataFrame.mp4
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42.6 MB
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008 Add New Column to DataFrame_en.srt
|
12.4 KB
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009 Broadcasting Operations on DataFrames.mp4
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32.8 MB
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009 Broadcasting Operations on DataFrames_en.srt
|
14.3 KB
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010 A Review of the value_counts Method.mp4
|
8.3 MB
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010 A Review of the value_counts Method_en.srt
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6.3 KB
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011 Drop DataFrame Rows with Null Values with the dropna Method.mp4
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39.0 MB
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011 Drop DataFrame Rows with Null Values with the dropna Method_en.srt
|
10.1 KB
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012 Coding Exercise SOLUTION_ Delete DataFrame Rows with Missing Values.html
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0.5 KB
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013 Fill in Null DataFrame Values with the fillna Method.mp4
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15.5 MB
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013 Fill in Null DataFrame Values with the fillna Method_en.srt
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7.3 KB
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014 Convert DataFrame Column Types with the astype Method.mp4
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63.7 MB
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014 Convert DataFrame Column Types with the astype Method_en.srt
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16.5 KB
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015 Sort a DataFrame with the sort_values Method, Part I.mp4
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45.4 MB
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015 Sort a DataFrame with the sort_values Method, Part I_en.srt
|
8.7 KB
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016 Sort a DataFrame with the sort_values Method, Part II.mp4
|
18.0 MB
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016 Sort a DataFrame with the sort_values Method, Part II_en.srt
|
6.5 KB
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017 Coding Exercise SOLUTION_ The sort_values Method on a DataFrame.html
|
1.0 KB
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018 Sort DataFrame Indexwith the sort_index Method.mp4
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19.6 MB
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018 Sort DataFrame Indexwith the sort_index Method_en.srt
|
4.2 KB
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019 Rank Series Values with the rank Method.mp4
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22.8 MB
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019 Rank Series Values with the rank Method_en.srt
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8.9 KB
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external-assets-links.txt
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0.1 KB
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/05 - DataFrames II_ Filtering Data/
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001 This Module's Dataset + Memory Optimization.mp4
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78.9 MB
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001 This Module's Dataset + Memory Optimization_en.srt
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26.0 KB
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002 Filter a DataFrame Based on A Condition.mp4
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86.3 MB
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002 Filter a DataFrame Based on A Condition_en.srt
|
19.8 KB
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003 Filter DataFrame with More than One Condition (AND - &).mp4
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15.5 MB
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003 Filter DataFrame with More than One Condition (AND - &)_en.srt
|
6.7 KB
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004 Filter DataFrame with More than One Condition (OR - _).mp4
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28.8 MB
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004 Filter DataFrame with More than One Condition (OR - _)_en.srt
|
13.0 KB
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005 Check for Inclusion with the isin Method.mp4
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21.6 MB
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005 Check for Inclusion with the isin Method_en.srt
|
9.9 KB
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006 Check for Null and Present DataFrame Values with the isnull and notnull Methods.mp4
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19.7 MB
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006 Check for Null and Present DataFrame Values with the isnull and notnull Methods_en.srt
|
8.7 KB
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|
007 Check For Inclusion Within a Range of Values with the between Method.mp4
|
27.8 MB
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007 Check For Inclusion Within a Range of Values with the between Method_en.srt
|
11.3 KB
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008 Check for Duplicate DataFrame Rows with the duplicated Method.mp4
|
56.3 MB
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008 Check for Duplicate DataFrame Rows with the duplicated Method_en.srt
|
14.3 KB
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009 Delete Duplicate DataFrame Rows with the drop_duplicates Method.mp4
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33.8 MB
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009 Delete Duplicate DataFrame Rows with the drop_duplicates Method_en.srt
|
12.8 KB
|
|
010 Identify and Count Unique Values with the unique and nunique Methods.mp4
|
7.9 MB
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010 Identify and Count Unique Values with the unique and nunique Methods_en.srt
|
6.7 KB
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external-assets-links.txt
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0.5 KB
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/06 - DataFrames III_ Data Extraction/
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001 Intro to the DataFrames III Module + Import Dataset.mp4
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13.1 MB
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001 Intro to the DataFrames III Module + Import Dataset_en.srt
|
7.7 KB
|
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002 Use the set_index and reset_index methods to define a new DataFrame index.mp4
|
18.4 MB
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002 Use the set_index and reset_index methods to define a new DataFrame index_en.srt
|
11.4 KB
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003 Retrieve Rows by Index Label with loc Accessor.mp4
|
36.1 MB
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003 Retrieve Rows by Index Label with loc Accessor_en.srt
|
19.9 KB
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004 Retrieve Rows by Index Position with iloc Accessor.mp4
|
18.0 MB
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004 Retrieve Rows by Index Position with iloc Accessor_en.srt
|
10.9 KB
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005 Passing second arguments to the loc and iloc Accessors.mp4
|
26.9 MB
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005 Passing second arguments to the loc and iloc Accessors_en.srt
|
12.9 KB
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006 Set New Value for a Specific Cell or Cells In a Row.mp4
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6.8 MB
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006 Set New Value for a Specific Cell or Cells In a Row_en.srt
|
7.4 KB
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007 Set Multiple Values in a DataFrame.mp4
|
16.9 MB
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007 Set Multiple Values in a DataFrame_en.srt
|
9.7 KB
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008 Rename Index Labels or Columns in a DataFrame.mp4
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60.9 MB
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008 Rename Index Labels or Columns in a DataFrame_en.srt
|
14.7 KB
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009 Delete Rows or Columns from a DataFrame.mp4
|
30.5 MB
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009 Delete Rows or Columns from a DataFrame_en.srt
|
11.5 KB
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010 Create Random Sample with the sample Method.mp4
|
12.9 MB
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010 Create Random Sample with the sample Method_en.srt
|
7.1 KB
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011 Use the nsmallest _ nlargest methods to get rows with smallest _ largest values.mp4
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29.7 MB
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011 Use the nsmallest _ nlargest methods to get rows with smallest _ largest values_en.srt
|
8.1 KB
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012 Filter A DataFrame with the where method.mp4
|
36.1 MB
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012 Filter A DataFrame with the where method_en.srt
|
7.6 KB
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013 Filter A DataFrame with the query method.mp4
|
34.7 MB
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013 Filter A DataFrame with the query method_en.srt
|
13.2 KB
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014 A Review of the apply Method on a pandas Series Object.mp4
|
19.5 MB
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014 A Review of the apply Method on a pandas Series Object_en.srt
|
8.7 KB
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015 Apply a Function to every DataFrame Row with the apply Method.mp4
|
18.0 MB
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015 Apply a Function to every DataFrame Row with the apply Method_en.srt
|
10.1 KB
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016 Create a Copy of a DataFrame with the copy Method.mp4
|
37.8 MB
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016 Create a Copy of a DataFrame with the copy Method_en.srt
|
10.3 KB
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external-assets-links.txt
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1.3 KB
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/07 - Working with Text Data/
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001 Intro to the Working with Text Data Section.mp4
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15.1 MB
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001 Intro to the Working with Text Data Section_en.srt
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9.4 KB
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002 Common String Methods - lower, upper, title, and len.mp4
|
50.2 MB
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002 Common String Methods - lower, upper, title, and len_en.srt
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10.6 KB
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003 Use the str.replace method to replace all occurrences of character with another.mp4
|
40.8 MB
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003 Use the str.replace method to replace all occurrences of character with another_en.srt
|
12.6 KB
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004 Filter a DataFrame's Rows with String Methods.mp4
|
37.8 MB
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004 Filter a DataFrame's Rows with String Methods_en.srt
|
10.2 KB
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005 More DataFrame String Methods - strip, lstrip, and rstrip.mp4
|
8.3 MB
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005 More DataFrame String Methods - strip, lstrip, and rstrip_en.srt
|
6.7 KB
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006 Invoke String Methods on DataFrame Index and Columns.mp4
|
15.3 MB
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006 Invoke String Methods on DataFrame Index and Columns_en.srt
|
8.1 KB
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007 Split Strings by Characters with the str.split Method.mp4
|
29.6 MB
|
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007 Split Strings by Characters with the str.split Method_en.srt
|
13.1 KB
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008 More Practice with the str.split method on a Series.mp4
|
38.1 MB
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008 More Practice with the str.split method on a Series_en.srt
|
8.9 KB
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009 Exploring the expand and n Parameters of the str.split Method.mp4
|
29.0 MB
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009 Exploring the expand and n Parameters of the str.split Method_en.srt
|
10.5 KB
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external-assets-links.txt
|
1.0 KB
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/08 - MultiIndex/
|
|
001 Intro to the MultiIndex Module.mp4
|
10.3 MB
|
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001 Intro to the MultiIndex Module_en.srt
|
7.6 KB
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002 Create a MultiIndex on a DataFrame with the set_index Method.mp4
|
23.2 MB
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002 Create a MultiIndex on a DataFrame with the set_index Method_en.srt
|
15.4 KB
|
|
003 Extract Index Level Values with the get_level_values Method.mp4
|
10.4 MB
|
|
003 Extract Index Level Values with the get_level_values Method_en.srt
|
6.5 KB
|
|
004 Change Index Level Name with the set_names Method.mp4
|
9.5 MB
|
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004 Change Index Level Name with the set_names Method_en.srt
|
6.1 KB
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005 The sort_index Method on a MultiIndex DataFrame.mp4
|
17.6 MB
|
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005 The sort_index Method on a MultiIndex DataFrame_en.srt
|
12.7 KB
|
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006 Extract Rows from a MultiIndex DataFrame.mp4
|
23.9 MB
|
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006 Extract Rows from a MultiIndex DataFrame_en.srt
|
17.0 KB
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007 The transpose Method on a MultiIndex DataFrame.mp4
|
18.8 MB
|
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007 The transpose Method on a MultiIndex DataFrame_en.srt
|
12.7 KB
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008 The .swaplevel() Method.mp4
|
5.1 MB
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008 The .swaplevel() Method_en.srt
|
5.5 KB
|
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009 The .stack() Method.mp4
|
38.1 MB
|
|
009 The .stack() Method_en.srt
|
10.4 KB
|
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010 The .unstack() Method, Part 1.mp4
|
12.0 MB
|
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010 The .unstack() Method, Part 1_en.srt
|
6.1 KB
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011 The .unstack() Method, Part 2.mp4
|
32.7 MB
|
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011 The .unstack() Method, Part 2_en.srt
|
10.1 KB
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012 The .unstack() Method, Part 3.mp4
|
28.6 MB
|
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012 The .unstack() Method, Part 3_en.srt
|
8.6 KB
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013 The pivot Method.mp4
|
16.5 MB
|
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013 The pivot Method_en.srt
|
11.7 KB
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014 Use the pivot_table method to create an aggregate summary of a DataFrame.mp4
|
34.3 MB
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014 Use the pivot_table method to create an aggregate summary of a DataFrame_en.srt
|
17.5 KB
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015 Use the pd.melt method to create a narrow dataset from a wide one.mp4
|
50.1 MB
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|
015 Use the pd.melt method to create a narrow dataset from a wide one_en.srt
|
9.7 KB
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external-assets-links.txt
|
1.4 KB
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/09 - The GroupBy Object/
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|
001 Intro to the Groupby Module.mp4
|
24.3 MB
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001 Intro to the Groupby Module_en.srt
|
12.8 KB
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002 First Operations with groupby Object.mp4
|
64.6 MB
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002 First Operations with groupby Object_en.srt
|
14.8 KB
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003 Retrieve a group from a GroupBy object with the get_group Method.mp4
|
9.6 MB
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003 Retrieve a group from a GroupBy object with the get_group Method_en.srt
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5.7 KB
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004 Methods on the Groupby Object and DataFrame Columns.mp4
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34.6 MB
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004 Methods on the Groupby Object and DataFrame Columns_en.srt
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13.6 KB
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005 Grouping by Multiple Columns.mp4
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25.7 MB
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005 Grouping by Multiple Columns_en.srt
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7.0 KB
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006 The .agg() Method.mp4
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43.5 MB
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006 The .agg() Method_en.srt
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9.3 KB
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007 Iterating through Groups.mp4
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35.4 MB
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007 Iterating through Groups_en.srt
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13.4 KB
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/10 - Merging, Joining, and Concatenating DataFrames/
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001 Intro to the Merging, Joining, and Concatenating Section.mp4
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12.5 MB
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001 Intro to the Merging, Joining, and Concatenating Section_en.srt
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7.7 KB
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002 The pd.concat Method, Part 1.mp4
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11.0 MB
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002 The pd.concat Method, Part 1_en.srt
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8.4 KB
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003 The pd.concat Method, Part 2.mp4
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16.1 MB
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003 The pd.concat Method, Part 2_en.srt
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10.5 KB
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004 Inner Joins, Part 1.mp4
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45.5 MB
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004 Inner Joins, Part 1_en.srt
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15.4 KB
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005 Inner Joins, Part 2.mp4
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21.8 MB
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005 Inner Joins, Part 2_en.srt
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14.1 KB
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006 Outer Joins.mp4
|
62.5 MB
|
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006 Outer Joins_en.srt
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19.0 KB
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007 Left Joins.mp4
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66.2 MB
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007 Left Joins_en.srt
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14.2 KB
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008 The left_on and right_on Parameters.mp4
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50.9 MB
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008 The left_on and right_on Parameters_en.srt
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14.3 KB
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009 Merging by Indexes with the left_index and right_index Parameters.mp4
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56.6 MB
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009 Merging by Indexes with the left_index and right_index Parameters_en.srt
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16.4 KB
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010 The .join() Method.mp4
|
5.8 MB
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010 The .join() Method_en.srt
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4.7 KB
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011 The pd.merge() Method.mp4
|
10.8 MB
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011 The pd.merge() Method_en.srt
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4.9 KB
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external-assets-links.txt
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0.5 KB
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/11 - Working with Dates and Times in Datasets/
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001 Intro to the Working with Dates and Times Module.mp4
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5.8 MB
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001 Intro to the Working with Dates and Times Module_en.srt
|
6.9 KB
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002 Review of Python's datetime Module.mp4
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30.6 MB
|
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002 Review of Python's datetime Module_en.srt
|
14.7 KB
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003 The pandas Timestamp Object.mp4
|
18.2 MB
|
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003 The pandas Timestamp Object_en.srt
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11.1 KB
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004 The pandas DateTimeIndex Object.mp4
|
13.7 MB
|
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004 The pandas DateTimeIndex Object_en.srt
|
7.7 KB
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005 The pd.to_datetime() Method.mp4
|
52.4 MB
|
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005 The pd.to_datetime() Method_en.srt
|
16.7 KB
|
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006 Create Range of Dates with the pd.date_range() Method, Part 1.mp4
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65.3 MB
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006 Create Range of Dates with the pd.date_range() Method, Part 1_en.srt
|
17.9 KB
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007 Create Range of Dates with the pd.date_range() Method, Part 2.mp4
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59.0 MB
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007 Create Range of Dates with the pd.date_range() Method, Part 2_en.srt
|
13.8 KB
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008 Create Range of Dates with the pd.date_range() Method, Part 3.mp4
|
26.9 MB
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008 Create Range of Dates with the pd.date_range() Method, Part 3_en.srt
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11.8 KB
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009 The .dt Accessor.mp4
|
18.4 MB
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009 The .dt Accessor_en.srt
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11.3 KB
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010 Install pandas-datareader Library.mp4
|
23.7 MB
|
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010 Install pandas-datareader Library_en.srt
|
6.0 KB
|
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011 Import Financial Data Set with pandas_datareader Library.mp4
|
20.2 MB
|
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011 Import Financial Data Set with pandas_datareader Library_en.srt
|
13.2 KB
|
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012 Selecting Rows from a DataFrame with a DateTimeIndex.mp4
|
33.7 MB
|
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012 Selecting Rows from a DataFrame with a DateTimeIndex_en.srt
|
18.1 KB
|
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013 Timestamp Object Attributes and Methods.mp4
|
29.7 MB
|
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013 Timestamp Object Attributes and Methods_en.srt
|
15.7 KB
|
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014 The pd.DateOffset Object.mp4
|
19.6 MB
|
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014 The pd.DateOffset Object_en.srt
|
11.0 KB
|
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015 Timeseries Offsets.mp4
|
34.0 MB
|
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015 Timeseries Offsets_en.srt
|
19.9 KB
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016 The Timedelta Object.mp4
|
17.9 MB
|
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016 The Timedelta Object_en.srt
|
13.3 KB
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017 Timedeltas in a Dataset.mp4
|
34.5 MB
|
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017 Timedeltas in a Dataset_en.srt
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15.6 KB
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external-assets-links.txt
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0.7 KB
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/12 - Input and Output in pandas/
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001 Intro to the Input and Output Section.mp4
|
2.0 MB
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001 Intro to the Input and Output Section_en.srt
|
2.1 KB
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002 Pass a URL to the pd.read_csv Method.mp4
|
20.8 MB
|
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002 Pass a URL to the pd.read_csv Method_en.srt
|
6.6 KB
|
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003 Quick Object Conversions.mp4
|
22.7 MB
|
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003 Quick Object Conversions_en.srt
|
11.2 KB
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004 Export CSV File with the to_csv Method.mp4
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26.0 MB
|
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004 Export CSV File with the to_csv Method_en.srt
|
8.8 KB
|
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005 Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4
|
11.9 MB
|
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005 Install xlrd and openpyxl Libraries to Read and Write Excel Files_en.srt
|
6.7 KB
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006 Import Excel File into pandas with the read_excel Method.mp4
|
41.1 MB
|
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006 Import Excel File into pandas with the read_excel Method_en.srt
|
14.6 KB
|
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007 Export Excel File with the to_excel Method.mp4
|
38.7 MB
|
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007 Export Excel File with the to_excel Method_en.srt
|
12.3 KB
|
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external-assets-links.txt
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0.8 KB
|
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/13 - Visualization/
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001 Intro to Visualization Section.mp4
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6.6 MB
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001 Intro to Visualization Section_en.srt
|
8.1 KB
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002 Use the plot Method to Render a Line Chart.mp4
|
17.0 MB
|
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002 Use the plot Method to Render a Line Chart_en.srt
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13.1 KB
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003 Modifying Plot Aesthetics with matplotlib Templates.mp4
|
14.5 MB
|
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003 Modifying Plot Aesthetics with matplotlib Templates_en.srt
|
7.7 KB
|
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004 Creating Bar Graphs to Show Counts.mp4
|
14.1 MB
|
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004 Creating Bar Graphs to Show Counts_en.srt
|
9.6 KB
|
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005 Creating Pie Charts to Represent Proportions.mp4
|
11.2 MB
|
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005 Creating Pie Charts to Represent Proportions_en.srt
|
7.5 KB
|
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external-assets-links.txt
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0.4 KB
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/14 - Options and Settings in pandas/
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|
001 Introduction to the Options and Settings Module.mp4
|
2.7 MB
|
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001 Introduction to the Options and Settings Module_en.srt
|
2.8 KB
|
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002 Changing pandas Options with Attributes and Dot Syntax.mp4
|
42.8 MB
|
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002 Changing pandas Options with Attributes and Dot Syntax_en.srt
|
12.4 KB
|
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003 Changing pandas Options with Methods.mp4
|
34.6 MB
|
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003 Changing pandas Options with Methods_en.srt
|
10.8 KB
|
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004 The precision Option.mp4
|
13.6 MB
|
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004 The precision Option_en.srt
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5.2 KB
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/15 - Conclusion/
|
|
001 Conclusion.mp4
|
2.5 MB
|
|
001 Conclusion_en.srt
|
2.9 KB
|
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002 Bonus_.html
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2.1 KB
|
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Total files 358
|
