data-analysis-with-pandas/13 Visualization/160 Modifying Plot Aesthetics with matplotlib Templates.mp4 24MB
data-analysis-with-pandas/04 DataFrames I Introduction/061 Convert DataFrame Column Types with the astype Method.mp4 24MB
data-analysis-with-pandas/06 DataFrames III Data Extraction/076 Intro to the DataFrames III Module Import Dataset.mp4 23MB
data-analysis-with-pandas/09 The GroupBy Object/117 First Operations with groupby Object.mp4 23MB
data-analysis-with-pandas/11 Working with Dates and Times in Datasets/138 The pd.to_datetime() Method.mp4 23MB
data-analysis-with-pandas/10 Merging Joining and Concatenating DataFrames/131 Merging by Indexes with the left_index and right_index Parameters.mp4 23MB
data-analysis-with-pandas/08 MultiIndex/114 Use the pivot_table method to create an aggregate summary of a DataFrame.mp4 22MB
data-analysis-with-pandas/10 Merging Joining and Concatenating DataFrames/124 The pd.concat Method Part 1.mp4 22MB
data-analysis-with-pandas/13 Visualization/162 Creating Pie Charts to Represent Proportions.mp4 21MB
data-analysis-with-pandas/09 The GroupBy Object/122 Iterating through Groups.mp4 21MB
data-analysis-with-pandas/01 Installation and Setup/002 About Me.mp4 21MB
data-analysis-with-pandas/10 Merging Joining and Concatenating DataFrames/123 Intro to the Merging Joining and Concatenating Section.mp4 21MB
data-analysis-with-pandas/10 Merging Joining and Concatenating DataFrames/129 Left Joins.mp4 21MB
data-analysis-with-pandas/08 MultiIndex/103 Extract Index Level Values with the get_level_values Method.mp4 21MB
data-analysis-with-pandas/09 The GroupBy Object/119 Methods on the Groupby Object and DataFrame Columns.mp4 20MB
data-analysis-with-pandas/10 Merging Joining and Concatenating DataFrames/130 The left_on and right_on Parameters.mp4 20MB
data-analysis-with-pandas/08 MultiIndex/101 Intro to the MultiIndex Module.mp4 20MB
data-analysis-with-pandas/01 Installation and Setup/014 Cell Types and Cell Modes in Jupyter Notebook.mp4 20MB
data-analysis-with-pandas/06 DataFrames III Data Extraction/081 Set New Value for a Specific Cell or Cells In a Row.mp4 20MB
data-analysis-with-pandas/06 DataFrames III Data Extraction/088 Filter A DataFrame with the query method.mp4 20MB
data-analysis-with-pandas/14 Options and Settings in pandas/164 Changing pandas Options with Attributes and Dot Syntax.mp4 20MB
data-analysis-with-pandas/12 Input and Output in pandas/152 Pass a URL to the pd.read_csv Method.mp4 20MB
data-analysis-with-pandas/11 Working with Dates and Times in Datasets/139 Create Range of Dates with the pd.date_range() Method Part 1.mp4 20MB
data-analysis-with-pandas/05 DataFrames II Filtering Data/073 Check for Duplicate DataFrame Rows with the duplicated Method.mp4 20MB
data-analysis-with-pandas/11 Working with Dates and Times in Datasets/150 Timedeltas in a Dataset.mp4 20MB
data-analysis-with-pandas/04 DataFrames I Introduction/059 Drop DataFrame Rows with Null Values with the dropna Method.mp4 19MB
data-analysis-with-pandas/08 MultiIndex/104 Change Index Level Name with the set_names Method.mp4 19MB
data-analysis-with-pandas/11 Working with Dates and Times in Datasets/140 Create Range of Dates with the pd.date_range() Method Part 2.mp4 19MB
data-analysis-with-pandas/03 Series/034 Parameters and Arguments.mp4 18MB
data-analysis-with-pandas/04 DataFrames I Introduction/057 Broadcasting Operations on DataFrames.mp4 18MB
data-analysis-with-pandas/03 Series/030 Create A Series Object from a Python List.mp4 18MB
data-analysis-with-pandas/10 Merging Joining and Concatenating DataFrames/126 Inner Joins Part 1.mp4 18MB
data-analysis-with-pandas/01 Installation and Setup/009 Windows - Download the Anaconda Distribution.mp4 18MB
data-analysis-with-pandas/10 Merging Joining and Concatenating DataFrames/127 Inner Joins Part 2.mp4 18MB
data-analysis-with-pandas/05 DataFrames II Filtering Data/074 Delete Duplicate DataFrame Rows with the drop_duplicates Method.mp4 18MB
data-analysis-with-pandas/07 Working with Text Data/098 Split Strings by Characters with the str.split Method.mp4 18MB
data-analysis-with-pandas/08 MultiIndex/115 Use the pd.melt method to create a narrow dataset from a wide one.mp4 17MB
data-analysis-with-pandas/04 DataFrames I Introduction/056 Add New Column to DataFrame.mp4 17MB
data-analysis-with-pandas/01 Installation and Setup/016 Popular Keyboard Shortcuts in Jupyter Notebook.mp4 17MB
data-analysis-with-pandas/05 DataFrames II Filtering Data/072 Check For Inclusion Within a Range of Values with the between Method.mp4 17MB
data-analysis-with-pandas/05 DataFrames II Filtering Data/069 Filter DataFrame with More than One Condition (OR - ).mp4 17MB
data-analysis-with-pandas/11 Working with Dates and Times in Datasets/135 Review of Pythons datetime Module.mp4 17MB
data-analysis-with-pandas/11 Working with Dates and Times in Datasets/141 Create Range of Dates with the pd.date_range() Method Part 3.mp4 16MB
data-analysis-with-pandas/01 Installation and Setup/004 MacOS - Download the Anaconda Distribution our Python development environment.mp4 16MB
data-analysis-with-pandas/06 DataFrames III Data Extraction/084 Delete Rows or Columns from a DataFrame.mp4 16MB
data-analysis-with-pandas/07 Working with Text Data/094 Use the str.replace method to replace all occurrences of character with another.mp4 16MB
data-analysis-with-pandas/13 Visualization/158 Intro to Visualization Section.mp4 16MB
data-analysis-with-pandas/07 Working with Text Data/095 Filter a DataFrames Rows with String Methods.mp4 16MB
data-analysis-with-pandas/06 DataFrames III Data Extraction/091 Create a Copy of a DataFrame with the copy Method.mp4 15MB
data-analysis-with-pandas/07 Working with Text Data/100 Exploring the expand and n Parameters of the str.split Method.mp4 15MB
data-analysis-with-pandas/07 Working with Text Data/093 Common String Methods - lower upper title and len.mp4 15MB
data-analysis-with-pandas/04 DataFrames I Introduction/054 Select One Column from a DataFrame.mp4 15MB
data-analysis-with-pandas/08 MultiIndex/111 The .unstack() Method Part 2.mp4 15MB
data-analysis-with-pandas/02 BONUS Python Crash Course/018 Intro to the Python Crash Course.mp4 14MB
data-analysis-with-pandas/08 MultiIndex/108 The .swaplevel() Method.mp4 14MB
data-analysis-with-pandas/09 The GroupBy Object/116 Intro to the Groupby Module.mp4 14MB
data-analysis-with-pandas/11 Working with Dates and Times in Datasets/134 Intro to the Working with Dates and Times Module.mp4 14MB
data-analysis-with-pandas/14 Options and Settings in pandas/165 Changing pandas Options with Methods.mp4 14MB
data-analysis-with-pandas/11 Working with Dates and Times in Datasets/142 The .dt Accessor.mp4 14MB
data-analysis-with-pandas/06 DataFrames III Data Extraction/087 Filter A DataFrame with the where method.mp4 14MB
data-analysis-with-pandas/06 DataFrames III Data Extraction/090 Apply a Function to every DataFrame Row with the apply Method.mp4 13MB
data-analysis-with-pandas/04 DataFrames I Introduction/062 Sort a DataFrame with the sort_values Method Part I.mp4 13MB
data-analysis-with-pandas/08 MultiIndex/109 The .stack() Method.mp4 13MB
data-analysis-with-pandas/09 The GroupBy Object/121 The .agg() Method.mp4 13MB
data-analysis-with-pandas/04 DataFrames I Introduction/065 Rank Series Values with the rank Method.mp4 13MB
data-analysis-with-pandas/04 DataFrames I Introduction/053 Differences between Shared Methods.mp4 13MB
data-analysis-with-pandas/03 Series/050 The Seriesmap Method.mp4 13MB
data-analysis-with-pandas/03 Series/032 Intro to Attributes on a Series Object.mp4 13MB
data-analysis-with-pandas/11 Working with Dates and Times in Datasets/136 The pandas Timestamp Object.mp4 13MB
data-analysis-with-pandas/05 DataFrames II Filtering Data/070 Check for Inclusion with the isin Method.mp4 13MB
data-analysis-with-pandas/03 Series/049 Use the apply Method to Invoke a Function on Every Series Values.mp4 12MB
data-analysis-with-pandas/05 DataFrames II Filtering Data/071 Check for Null and Present DataFrame Values with the isnull and notnull Methods.mp4 12MB
data-analysis-with-pandas/08 MultiIndex/113 The pivot Method.mp4 12MB
data-analysis-with-pandas/06 DataFrames III Data Extraction/086 Use the nsmallest nlargest methods to get rows with smallest largest values.mp4 12MB
data-analysis-with-pandas/08 MultiIndex/112 The .unstack() Method Part 3.mp4 12MB
data-analysis-with-pandas/07 Working with Text Data/099 More Practice with the str.split method on a Series.mp4 12MB
data-analysis-with-pandas/06 DataFrames III Data Extraction/089 A Review of the apply Method on a pandas Series Object.mp4 12MB
data-analysis-with-pandas/03 Series/038 Accessing More Series Attributes.mp4 12MB
data-analysis-with-pandas/07 Working with Text Data/097 Invoke String Methods on DataFrame Index and Columns.mp4 11MB
data-analysis-with-pandas/03 Series/039 Use the sort_values method to sort a Series in ascending or descending order.mp4 11MB
data-analysis-with-pandas/04 DataFrames I Introduction/060 Fill in Null DataFrame Values with the fillna Method.mp4 11MB
data-analysis-with-pandas/09 The GroupBy Object/120 Grouping by Multiple Columns.mp4 10MB
data-analysis-with-pandas/03 Series/046 Math Methods on Series Objects.mp4 10MB
data-analysis-with-pandas/09 The GroupBy Object/118 Retrieve a group from a GroupBy object with the get_group Method.mp4 10MB
data-analysis-with-pandas/04 DataFrames I Introduction/055 Select Two or More Columns from a DataFrame.mp4 10MB
data-analysis-with-pandas/03 Series/037 Passing pandas Objects to Python Built-In Functions.mp4 10MB
data-analysis-with-pandas/11 Working with Dates and Times in Datasets/137 The pandas DateTimeIndex Object.mp4 10MB
data-analysis-with-pandas/07 Working with Text Data/096 More DataFrame String Methods - strip lstrip and rstrip.mp4 10MB
data-analysis-with-pandas/03 Series/040 Use the inplace Parameter to permanently mutate a pandas data structure.mp4 9MB
data-analysis-with-pandas/06 DataFrames III Data Extraction/085 Create Random Sample with the sample Method.mp4 9MB
data-analysis-with-pandas/05 DataFrames II Filtering Data/068 Filter DataFrame with More than One Condition (AND - ).mp4 9MB