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| [CourseClub.Me].url |
122б |
| [CourseClub.Me].url |
122б |
| [CourseClub.Me].url |
122б |
| [CourseClub.Me].url |
122б |
| [CourseClub.Me].url |
122б |
| [GigaCourse.Com].url |
49б |
| [GigaCourse.Com].url |
49б |
| [GigaCourse.Com].url |
49б |
| [GigaCourse.Com].url |
49б |
| [GigaCourse.Com].url |
49б |
| 001 Conclusion_en.srt |
2.84Кб |
| 001 Conclusion.mp4 |
2.39Мб |
| 001 Create Jupyter Notebook for the Series Module_en.srt |
3.52Кб |
| 001 Create Jupyter Notebook for the Series Module.mp4 |
2.95Мб |
| 001 Introduction to Data Analysis with Pandas and Python_en.srt |
19.55Кб |
| 001 Introduction to Data Analysis with Pandas and Python.mp4 |
125.34Мб |
| 001 Introduction to the Options and Settings Module_en.srt |
2.76Кб |
| 001 Introduction to the Options and Settings Module.mp4 |
2.54Мб |
| 001 Intro to DataFrames I Module_en.srt |
15.15Кб |
| 001 Intro to DataFrames I Module.mp4 |
49.79Мб |
| 001 Intro to the DataFrames III Module + Import Dataset_en.srt |
7.49Кб |
| 001 Intro to the DataFrames III Module + Import Dataset.mp4 |
12.48Мб |
| 001 Intro to the Groupby Module_en.srt |
12.47Кб |
| 001 Intro to the Groupby Module.mp4 |
23.13Мб |
| 001 Intro to the Input and Output Section_en.srt |
2.08Кб |
| 001 Intro to the Input and Output Section.mp4 |
1.92Мб |
| 001 Intro to the Merging, Joining, and Concatenating Section_en.srt |
7.51Кб |
| 001 Intro to the Merging, Joining, and Concatenating Section.mp4 |
11.89Мб |
| 001 Intro to the MultiIndex Module_en.srt |
7.45Кб |
| 001 Intro to the MultiIndex Module.mp4 |
9.84Мб |
| 001 Intro to the Python Crash Course_en.srt |
5.99Кб |
| 001 Intro to the Python Crash Course.mp4 |
7.59Мб |
| 001 Intro to the Working with Dates and Times Module_en.srt |
6.72Кб |
| 001 Intro to the Working with Dates and Times Module.mp4 |
5.58Мб |
| 001 Intro to the Working with Text Data Section_en.srt |
9.21Кб |
| 001 Intro to the Working with Text Data Section.mp4 |
14.41Мб |
| 001 Intro to Visualization Section_en.srt |
7.91Кб |
| 001 Intro to Visualization Section.mp4 |
6.27Мб |
| 001 This Module's Dataset + Memory Optimization_en.srt |
25.41Кб |
| 001 This Module's Dataset + Memory Optimization.mp4 |
75.27Мб |
| 002 About Me_en.srt |
1.69Кб |
| 002 About Me.mp4 |
5.99Мб |
| 002 Bonus_.html |
2.02Кб |
| 002 Changing pandas Options with Attributes and Dot Syntax_en.srt |
12.12Кб |
| 002 Changing pandas Options with Attributes and Dot Syntax.mp4 |
40.81Мб |
| 002 Comments_en.srt |
5.08Кб |
| 002 Comments.mp4 |
4.10Мб |
| 002 Common String Methods - lower, upper, title, and len_en.srt |
10.39Кб |
| 002 Common String Methods - lower, upper, title, and len.mp4 |
47.89Мб |
| 002 Create a MultiIndex on a DataFrame with the set_index Method_en.srt |
15.08Кб |
| 002 Create a MultiIndex on a DataFrame with the set_index Method.mp4 |
22.14Мб |
| 002 Create A Series Object from a Python List_en.srt |
17.11Кб |
| 002 Create A Series Object from a Python List.mp4 |
22.59Мб |
| 002 Filter a DataFrame Based on A Condition_en.srt |
19.32Кб |
| 002 Filter a DataFrame Based on A Condition.mp4 |
82.28Мб |
| 002 First Operations with groupby Object_en.srt |
14.47Кб |
| 002 First Operations with groupby Object.mp4 |
61.64Мб |
| 002 Pass a URL to the pd.read_csv Method_en.srt |
6.47Кб |
| 002 Pass a URL to the pd.read_csv Method.mp4 |
19.83Мб |
| 002 Review of Python's datetime Module_en.srt |
14.34Кб |
| 002 Review of Python's datetime Module.mp4 |
29.20Мб |
| 002 Shared Methods and Attributes between Series and DataFrames_en.srt |
21.83Кб |
| 002 Shared Methods and Attributes between Series and DataFrames.mp4 |
42.53Мб |
| 002 The pd.concat Method, Part 1_en.srt |
8.16Кб |
| 002 The pd.concat Method, Part 1.mp4 |
10.48Мб |
| 002 Use the plot Method to Render a Line Chart_en.srt |
12.83Кб |
| 002 Use the plot Method to Render a Line Chart.mp4 |
16.24Мб |
| 002 Use the set_index and reset_index methods to define a new DataFrame index_en.srt |
11.17Кб |
| 002 Use the set_index and reset_index methods to define a new DataFrame index.mp4 |
17.59Мб |
| 003 Basic Data Types_en.srt |
16.87Кб |
| 003 Basic Data Types.mp4 |
18.21Мб |
| 003 Changing pandas Options with Methods_en.srt |
10.58Кб |
| 003 Changing pandas Options with Methods.mp4 |
32.99Мб |
| 003 Completed Course Files.html |
1.02Кб |
| 003 Create A Series Object from a Python Dictionary_en.srt |
4.48Кб |
| 003 Create A Series Object from a Python Dictionary.mp4 |
6.53Мб |
| 003 Differences between Shared Methods_en.srt |
10.05Кб |
| 003 Differences between Shared Methods.mp4 |
27.01Мб |
| 003 Extract Index Level Values with the get_level_values Method_en.srt |
6.39Кб |
| 003 Extract Index Level Values with the get_level_values Method.mp4 |
9.89Мб |
| 003 Filter DataFrame with More than One Condition (AND - &)_en.srt |
6.57Кб |
| 003 Filter DataFrame with More than One Condition (AND - &).mp4 |
14.76Мб |
| 003 Modifying Plot Aesthetics with matplotlib Templates_en.srt |
7.49Кб |
| 003 Modifying Plot Aesthetics with matplotlib Templates.mp4 |
13.80Мб |
| 003 Quick Object Conversions_en.srt |
10.93Кб |
| 003 Quick Object Conversions.mp4 |
21.65Мб |
| 003 Retrieve a group from a GroupBy object with the get_group Method_en.srt |
5.57Кб |
| 003 Retrieve a group from a GroupBy object with the get_group Method.mp4 |
9.18Мб |
| 003 Retrieve Rows by Index Label with loc Accessor_en.srt |
19.41Кб |
| 003 Retrieve Rows by Index Label with loc Accessor.mp4 |
34.39Мб |
| 003 The pandas Timestamp Object_en.srt |
10.88Кб |
| 003 The pandas Timestamp Object.mp4 |
17.40Мб |
| 003 The pd.concat Method, Part 2_en.srt |
10.28Кб |
| 003 The pd.concat Method, Part 2.mp4 |
15.31Мб |
| 003 Use the str.replace method to replace all occurrences of character with another_en.srt |
12.32Кб |
| 003 Use the str.replace method to replace all occurrences of character with another.mp4 |
38.91Мб |
| 004 Change Index Level Name with the set_names Method_en.srt |
5.95Кб |
| 004 Change Index Level Name with the set_names Method.mp4 |
9.09Мб |
| 004 Coding Exercise SOLUTION_ Create a Series Object.html |
905б |
| 004 Creating Bar Graphs to Show Counts_en.srt |
9.40Кб |
| 004 Creating Bar Graphs to Show Counts.mp4 |
13.45Мб |
| 004 Export CSV File with the to_csv Method_en.srt |
8.61Кб |
| 004 Export CSV File with the to_csv Method.mp4 |
24.83Мб |
| 004 Filter a DataFrame's Rows with String Methods_en.srt |
9.94Кб |
| 004 Filter a DataFrame's Rows with String Methods.mp4 |
36.08Мб |
| 004 Filter DataFrame with More than One Condition (OR - _)_en.srt |
12.66Кб |
| 004 Filter DataFrame with More than One Condition (OR - _).mp4 |
27.47Мб |
| 004 Inner Joins, Part 1_en.srt |
15.04Кб |
| 004 Inner Joins, Part 1.mp4 |
43.41Мб |
| 004 macOS - Download the Anaconda Distribution, our Python development environment_en.srt |
7.11Кб |
| 004 macOS - Download the Anaconda Distribution, our Python development environment.mp4 |
9.82Мб |
| 004 Methods on the Groupby Object and DataFrame Columns_en.srt |
13.24Кб |
| 004 Methods on the Groupby Object and DataFrame Columns.mp4 |
33.03Мб |
| 004 Operators_en.srt |
24.32Кб |
| 004 Operators.mp4 |
28.00Мб |
| 004 Retrieve Rows by Index Position with iloc Accessor_en.srt |
10.64Кб |
| 004 Retrieve Rows by Index Position with iloc Accessor.mp4 |
17.18Мб |
| 004 Select One Column from a DataFrame_en.srt |
12.22Кб |
| 004 Select One Column from a DataFrame.mp4 |
42.20Мб |
| 004 The pandas DateTimeIndex Object_en.srt |
7.55Кб |
| 004 The pandas DateTimeIndex Object.mp4 |
13.06Мб |
| 004 The precision Option_en.srt |
5.11Кб |
| 004 The precision Option.mp4 |
12.93Мб |
| 005 Check for Inclusion with the isin Method_en.srt |
9.72Кб |
| 005 Check for Inclusion with the isin Method.mp4 |
20.56Мб |
| 005 Coding Exercise SOLUTION_ Select One Column from a DataFrame.html |
573б |
| 005 Creating Pie Charts to Represent Proportions_en.srt |
7.32Кб |
| 005 Creating Pie Charts to Represent Proportions.mp4 |
10.70Мб |
| 005 Grouping by Multiple Columns_en.srt |
6.79Кб |
| 005 Grouping by Multiple Columns.mp4 |
24.47Мб |
| 005 Inner Joins, Part 2_en.srt |
13.77Кб |
| 005 Inner Joins, Part 2.mp4 |
20.80Мб |
| 005 Install xlrd and openpyxl Libraries to Read and Write Excel Files_en.srt |
6.50Кб |
| 005 Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4 |
11.39Мб |
| 005 Intro to Attributes on a Series Object_en.srt |
11.66Кб |
| 005 Intro to Attributes on a Series Object.mp4 |
18.87Мб |
| 005 macOS - Install Anaconda Distribution_en.srt |
12.75Кб |
| 005 macOS - Install Anaconda Distribution.mp4 |
41.22Мб |
| 005 More DataFrame String Methods - strip, lstrip, and rstrip_en.srt |
6.51Кб |
| 005 More DataFrame String Methods - strip, lstrip, and rstrip.mp4 |
7.89Мб |
| 005 Passing second arguments to the loc and iloc Accessors_en.srt |
12.61Кб |
| 005 Passing second arguments to the loc and iloc Accessors.mp4 |
25.65Мб |
| 005 The pd.to_datetime() Method_en.srt |
16.31Кб |
| 005 The pd.to_datetime() Method.mp4 |
50.00Мб |
| 005 The sort_index Method on a MultiIndex DataFrame_en.srt |
12.43Кб |
| 005 The sort_index Method on a MultiIndex DataFrame.mp4 |
16.77Мб |
| 005 Variables_en.srt |
12.74Кб |
| 005 Variables.mp4 |
13.29Мб |
| 006 Built-in Functions_en.srt |
16.93Кб |
| 006 Built-in Functions.mp4 |
18.32Мб |
| 006 Check for Null and Present DataFrame Values with the isnull and notnull Methods_en.srt |
8.48Кб |
| 006 Check for Null and Present DataFrame Values with the isnull and notnull Methods.mp4 |
18.75Мб |
| 006 Create Range of Dates with the pd.date_range() Method, Part 1_en.srt |
17.45Кб |
| 006 Create Range of Dates with the pd.date_range() Method, Part 1.mp4 |
62.28Мб |
| 006 Extract Rows from a MultiIndex DataFrame_en.srt |
16.60Кб |
| 006 Extract Rows from a MultiIndex DataFrame.mp4 |
22.80Мб |
| 006 Import Excel File into pandas with the read_excel Method_en.srt |
14.30Кб |
| 006 Import Excel File into pandas with the read_excel Method.mp4 |
39.23Мб |
| 006 Intro to Methods on a Series Object_en.srt |
7.71Кб |
| 006 Intro to Methods on a Series Object.mp4 |
9.53Мб |
| 006 Invoke String Methods on DataFrame Index and Columns_en.srt |
7.87Кб |
| 006 Invoke String Methods on DataFrame Index and Columns.mp4 |
14.58Мб |
| 006 macOS - Access the Terminal Application_en.srt |
14.53Кб |
| 006 macOS - Access the Terminal Application.mp4 |
51.78Мб |
| 006 Outer Joins_en.srt |
18.57Кб |
| 006 Outer Joins.mp4 |
59.65Мб |
| 006 Select Two or More Columns from a DataFrame_en.srt |
8.44Кб |
| 006 Select Two or More Columns from a DataFrame.mp4 |
13.01Мб |
| 006 Set New Value for a Specific Cell or Cells In a Row_en.srt |
7.21Кб |
| 006 Set New Value for a Specific Cell or Cells In a Row.mp4 |
6.52Мб |
| 006 The .agg() Method_en.srt |
9.04Кб |
| 006 The .agg() Method.mp4 |
41.47Мб |
| 007 Check For Inclusion Within a Range of Values with the between Method_en.srt |
11.06Кб |
| 007 Check For Inclusion Within a Range of Values with the between Method.mp4 |
26.54Мб |
| 007 Coding Exercise SOLUTION_ Select Two or More Columns from a DataFrame.html |
802б |
| 007 Create Range of Dates with the pd.date_range() Method, Part 2_en.srt |
13.47Кб |
| 007 Create Range of Dates with the pd.date_range() Method, Part 2.mp4 |
56.29Мб |
| 007 Custom Functions_en.srt |
26.01Кб |
| 007 Custom Functions.mp4 |
30.91Мб |
| 007 Export Excel File with the to_excel Method_en.srt |
11.98Кб |
| 007 Export Excel File with the to_excel Method.mp4 |
36.88Мб |
| 007 Iterating through Groups_en.srt |
13.12Кб |
| 007 Iterating through Groups.mp4 |
33.74Мб |
| 007 Left Joins_en.srt |
13.89Кб |
| 007 Left Joins.mp4 |
63.15Мб |
| 007 macOS - Create conda Environment and Install pandas and Jupyter Notebook_en.srt |
22.10Кб |
| 007 macOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 |
59.24Мб |
| 007 Parameters and Arguments_en.srt |
15.06Кб |
| 007 Parameters and Arguments.mp4 |
29.70Мб |
| 007 Set Multiple Values in a DataFrame_en.srt |
9.45Кб |
| 007 Set Multiple Values in a DataFrame.mp4 |
16.11Мб |
| 007 Split Strings by Characters with the str.split Method_en.srt |
12.75Кб |
| 007 Split Strings by Characters with the str.split Method.mp4 |
28.23Мб |
| 007 The transpose Method on a MultiIndex DataFrame_en.srt |
12.45Кб |
| 007 The transpose Method on a MultiIndex DataFrame.mp4 |
17.97Мб |
| 008 Add New Column to DataFrame_en.srt |
12.15Кб |
| 008 Add New Column to DataFrame.mp4 |
40.64Мб |
| 008 Check for Duplicate DataFrame Rows with the duplicated Method_en.srt |
13.94Кб |
| 008 Check for Duplicate DataFrame Rows with the duplicated Method.mp4 |
53.70Мб |
| 008 Create Range of Dates with the pd.date_range() Method, Part 3_en.srt |
11.55Кб |
| 008 Create Range of Dates with the pd.date_range() Method, Part 3.mp4 |
25.69Мб |
| 008 Create Series from Dataset with the pd.read_csv Method_en.srt |
23.64Кб |
| 008 Create Series from Dataset with the pd.read_csv Method.mp4 |
29.41Мб |
| 008 macOS - Unpack Course Materials + The Start and Shutdown Process_en.srt |
22.32Кб |
| 008 macOS - Unpack Course Materials + The Start and Shutdown Process.mp4 |
51.96Мб |
| 008 More Practice with the str.split method on a Series_en.srt |
8.69Кб |
| 008 More Practice with the str.split method on a Series.mp4 |
36.36Мб |
| 008 Rename Index Labels or Columns in a DataFrame_en.srt |
14.33Кб |
| 008 Rename Index Labels or Columns in a DataFrame.mp4 |
58.05Мб |
| 008 String Methods_en.srt |
31.96Кб |
| 008 String Methods.mp4 |
40.14Мб |
| 008 The .swaplevel() Method_en.srt |
5.33Кб |
| 008 The .swaplevel() Method.mp4 |
4.88Мб |
| 008 The left_on and right_on Parameters_en.srt |
14.00Кб |
| 008 The left_on and right_on Parameters.mp4 |
48.52Мб |
| 009 Broadcasting Operations on DataFrames_en.srt |
13.95Кб |
| 009 Broadcasting Operations on DataFrames.mp4 |
31.24Мб |
| 009 Coding Exercise SOLUTION_ Import Series with the read_csv Function.html |
663б |
| 009 Delete Duplicate DataFrame Rows with the drop_duplicates Method_en.srt |
12.49Кб |
| 009 Delete Duplicate DataFrame Rows with the drop_duplicates Method.mp4 |
32.23Мб |
| 009 Delete Rows or Columns from a DataFrame_en.srt |
11.19Кб |
| 009 Delete Rows or Columns from a DataFrame.mp4 |
29.04Мб |
| 009 Exploring the expand and n Parameters of the str.split Method_en.srt |
10.26Кб |
| 009 Exploring the expand and n Parameters of the str.split Method.mp4 |
27.64Мб |
| 009 Lists_en.srt |
20.46Кб |
| 009 Lists.mp4 |
28.38Мб |
| 009 Merging by Indexes with the left_index and right_index Parameters_en.srt |
16.02Кб |
| 009 Merging by Indexes with the left_index and right_index Parameters.mp4 |
53.98Мб |
| 009 The .dt Accessor_en.srt |
11.06Кб |
| 009 The .dt Accessor.mp4 |
17.51Мб |
| 009 The .stack() Method_en.srt |
10.14Кб |
| 009 The .stack() Method.mp4 |
36.38Мб |
| 009 Windows - Download the Anaconda Distribution_en.srt |
7.51Кб |
| 009 Windows - Download the Anaconda Distribution.mp4 |
10.19Мб |
| 010 A Review of the value_counts Method_en.srt |
6.12Кб |
| 010 A Review of the value_counts Method.mp4 |
7.95Мб |
| 010 Create Random Sample with the sample Method_en.srt |
6.95Кб |
| 010 Create Random Sample with the sample Method.mp4 |
12.35Мб |
| 010 Identify and Count Unique Values with the unique and nunique Methods_en.srt |
6.54Кб |
| 010 Identify and Count Unique Values with the unique and nunique Methods.mp4 |
7.56Мб |
| 010 Index Positions and Slicing_en.srt |
23.62Кб |
| 010 Index Positions and Slicing.mp4 |
30.01Мб |
| 010 Install pandas-datareader Library_en.srt |
5.82Кб |
| 010 Install pandas-datareader Library.mp4 |
22.60Мб |
| 010 The .join() Method_en.srt |
4.60Кб |
| 010 The .join() Method.mp4 |
5.49Мб |
| 010 The .unstack() Method, Part 1_en.srt |
5.94Кб |
| 010 The .unstack() Method, Part 1.mp4 |
11.42Мб |
| 010 Use the head and tail Methods to Return Rows from Beginning and End of Dataset_en.srt |
5.34Кб |
| 010 Use the head and tail Methods to Return Rows from Beginning and End of Dataset.mp4 |
8.55Мб |
| 010 Windows - Install Anaconda Distribution_en.srt |
10.33Кб |
| 010 Windows - Install Anaconda Distribution.mp4 |
16.31Мб |
| 011 Dictionaries_en.srt |
23.94Кб |
| 011 Dictionaries.mp4 |
29.06Мб |
| 011 Drop DataFrame Rows with Null Values with the dropna Method_en.srt |
9.91Кб |
| 011 Drop DataFrame Rows with Null Values with the dropna Method.mp4 |
37.16Мб |
| 011 Import Financial Data Set with pandas_datareader Library_en.srt |
12.91Кб |
| 011 Import Financial Data Set with pandas_datareader Library.mp4 |
19.23Мб |
| 011 Passing pandas Objects to Python Built-In Functions_en.srt |
7.83Кб |
| 011 Passing pandas Objects to Python Built-In Functions.mp4 |
12.15Мб |
| 011 The .unstack() Method, Part 2_en.srt |
9.82Кб |
| 011 The .unstack() Method, Part 2.mp4 |
31.22Мб |
| 011 The pd.merge() Method_en.srt |
4.75Кб |
| 011 The pd.merge() Method.mp4 |
10.28Мб |
| 011 Use the nsmallest _ nlargest methods to get rows with smallest _ largest values_en.srt |
7.90Кб |
| 011 Use the nsmallest _ nlargest methods to get rows with smallest _ largest values.mp4 |
28.30Мб |
| 011 Windows - Create conda Environment and Install pandas and Jupyter Notebook_en.srt |
30.65Кб |
| 011 Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4 |
47.74Мб |
| 012 Accessing More Series Attributes_en.srt |
9.21Кб |
| 012 Accessing More Series Attributes.mp4 |
25.61Мб |
| 012 Coding Exercise SOLUTION_ Delete DataFrame Rows with Missing Values.html |
489б |
| 012 Filter A DataFrame with the where method_en.srt |
7.42Кб |
| 012 Filter A DataFrame with the where method.mp4 |
34.38Мб |
| 012 Selecting Rows from a DataFrame with a DateTimeIndex_en.srt |
17.70Кб |
| 012 Selecting Rows from a DataFrame with a DateTimeIndex.mp4 |
32.14Мб |
| 012 The .unstack() Method, Part 3_en.srt |
8.36Кб |
| 012 The .unstack() Method, Part 3.mp4 |
27.27Мб |
| 012 Windows - Unpack Course Materials + The Startdown and Shutdown Process_en.srt |
22.00Кб |
| 012 Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 |
27.14Мб |
| 013 Fill in Null DataFrame Values with the fillna Method_en.srt |
7.09Кб |
| 013 Fill in Null DataFrame Values with the fillna Method.mp4 |
14.77Мб |
| 013 Filter A DataFrame with the query method_en.srt |
12.92Кб |
| 013 Filter A DataFrame with the query method.mp4 |
33.05Мб |
| 013 Intro to the Jupyter Notebook Interface_en.srt |
15.80Кб |
| 013 Intro to the Jupyter Notebook Interface.mp4 |
16.26Мб |
| 013 The pivot Method_en.srt |
11.46Кб |
| 013 The pivot Method.mp4 |
15.72Мб |
| 013 Timestamp Object Attributes and Methods_en.srt |
15.31Кб |
| 013 Timestamp Object Attributes and Methods.mp4 |
28.30Мб |
| 013 Use the sort_values method to sort a Series in ascending or descending order_en.srt |
9.34Кб |
| 013 Use the sort_values method to sort a Series in ascending or descending order.mp4 |
28.49Мб |
| 014 A Review of the apply Method on a pandas Series Object_en.srt |
8.47Кб |
| 014 A Review of the apply Method on a pandas Series Object.mp4 |
18.63Мб |
| 014 Cell Types and Cell Modes in Jupyter Notebook_en.srt |
11.05Кб |
| 014 Cell Types and Cell Modes in Jupyter Notebook.mp4 |
10.48Мб |
| 014 Convert DataFrame Column Types with the astype Method_en.srt |
16.11Кб |
| 014 Convert DataFrame Column Types with the astype Method.mp4 |
60.72Мб |
| 014 The pd.DateOffset Object_en.srt |
10.71Кб |
| 014 The pd.DateOffset Object.mp4 |
18.74Мб |
| 014 Use the inplace Parameter to permanently mutate a pandas data structure_en.srt |
8.37Кб |
| 014 Use the inplace Parameter to permanently mutate a pandas data structure.mp4 |
14.34Мб |
| 014 Use the pivot_table method to create an aggregate summary of a DataFrame_en.srt |
17.04Кб |
| 014 Use the pivot_table method to create an aggregate summary of a DataFrame.mp4 |
32.73Мб |
| 015 Apply a Function to every DataFrame Row with the apply Method_en.srt |
9.83Кб |
| 015 Apply a Function to every DataFrame Row with the apply Method.mp4 |
17.18Мб |
| 015 Code Cell Execution in Jupyter Notebook_en.srt |
4.53Кб |
| 015 Code Cell Execution in Jupyter Notebook.mp4 |
4.67Мб |
| 015 Sort a DataFrame with the sort_values Method, Part I_en.srt |
8.45Кб |
| 015 Sort a DataFrame with the sort_values Method, Part I.mp4 |
43.29Мб |
| 015 Timeseries Offsets_en.srt |
19.48Кб |
| 015 Timeseries Offsets.mp4 |
32.43Мб |
| 015 Use the pd.melt method to create a narrow dataset from a wide one_en.srt |
9.47Кб |
| 015 Use the pd.melt method to create a narrow dataset from a wide one.mp4 |
47.79Мб |
| 015 Use the sort_index Method to Sort the Index of a pandas Series object_en.srt |
7.10Кб |
| 015 Use the sort_index Method to Sort the Index of a pandas Series object.mp4 |
11.23Мб |
| 016 Coding Exercise SOLUTION_ The sort_values and sort_index Methods.html |
1.15Кб |
| 016 Create a Copy of a DataFrame with the copy Method_en.srt |
10.07Кб |
| 016 Create a Copy of a DataFrame with the copy Method.mp4 |
36.08Мб |
| 016 Popular Keyboard Shortcuts in Jupyter Notebook_en.srt |
5.59Кб |
| 016 Popular Keyboard Shortcuts in Jupyter Notebook.mp4 |
8.11Мб |
| 016 Sort a DataFrame with the sort_values Method, Part II_en.srt |
6.33Кб |
| 016 Sort a DataFrame with the sort_values Method, Part II.mp4 |
17.16Мб |
| 016 The Timedelta Object_en.srt |
12.99Кб |
| 016 The Timedelta Object.mp4 |
17.06Мб |
| 017 Coding Exercise SOLUTION_ The sort_values Method on a DataFrame.html |
1.01Кб |
| 017 Import Libraries into Jupyter Notebook_en.srt |
13.01Кб |
| 017 Import Libraries into Jupyter Notebook.mp4 |
14.47Мб |
| 017 Timedeltas in a Dataset_en.srt |
15.28Кб |
| 017 Timedeltas in a Dataset.mp4 |
32.94Мб |
| 017 Use Python's in Keyword to Check for Inclusion in Series values or index_en.srt |
5.81Кб |
| 017 Use Python's in Keyword to Check for Inclusion in Series values or index.mp4 |
9.20Мб |
| 018 Extract Series Values by Index Positiox_en.srt |
6.49Кб |
| 018 Extract Series Values by Index Positiox.mp4 |
23.50Мб |
| 018 Sort DataFrame Indexwith the sort_index Method_en.srt |
4.15Кб |
| 018 Sort DataFrame Indexwith the sort_index Method.mp4 |
18.70Мб |
| 018 Troubleshooting Issues with Jupyter Notebook.html |
420б |
| 019 Extract Series Values by Index Label_en.srt |
15.83Кб |
| 019 Extract Series Values by Index Label.mp4 |
22.10Мб |
| 019 Rank Series Values with the rank Method_en.srt |
8.71Кб |
| 019 Rank Series Values with the rank Method.mp4 |
21.78Мб |
| 020 Coding Exercise SOLUTION_ Extract Series Values by Index Position or Index Label.html |
928б |
| 021 Use the get Method to Retrieve a Value for an index label in a Series_en.srt |
14.21Кб |
| 021 Use the get Method to Retrieve a Value for an index label in a Series.mp4 |
20.63Мб |
| 022 Math Methods on Series Objects_en.srt |
8.02Кб |
| 022 Math Methods on Series Objects.mp4 |
15.28Мб |
| 023 Use the idxmax and idxmin Methods to Find Index of Greatest or Smallest Value_en.srt |
4.48Кб |
| 023 Use the idxmax and idxmin Methods to Find Index of Greatest or Smallest Value.mp4 |
8.78Мб |
| 024 Use the value_counts Method to See Counts of Unique Values within a Series_en.srt |
5.32Кб |
| 024 Use the value_counts Method to See Counts of Unique Values within a Series.mp4 |
8.18Мб |
| 025 Use the apply Method to Invoke a Function on Every Series Values_en.srt |
10.01Кб |
| 025 Use the apply Method to Invoke a Function on Every Series Values.mp4 |
18.33Мб |
| 026 The Series#map Method_en.srt |
9.84Кб |
| 026 The Series#map Method.mp4 |
22.63Мб |
| 21929926-pandas.zip |
684.75Кб |
| 23001890-pandas.zip |
686.24Кб |
| 24889460-notebooks.zip |
279.85Кб |
| 7040216-pandas.zip |
684.75Кб |
| external-assets-links.txt |
209б |
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692б |
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117б |
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464б |
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468б |
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711б |
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765б |
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400б |