[Udemy] Data Analysis with Pandas and Python (11.2021)

File Name

Size

01 - Installation and Setup/001 Introduction to Data Analysis with Pandas and Python.mp4

125 MB

01 - Installation and Setup/001 Introduction to Data Analysis with Pandas and Python_en.srt

20 kB

01 - Installation and Setup/002 About Me.mp4

6.0 MB

01 - Installation and Setup/002 About Me_en.srt

1.7 kB

01 - Installation and Setup/003 Completed Course Files.html

1.0 kB

01 - Installation and Setup/004 macOS - Download the Anaconda Distribution, our Python development environment.mp4

9.8 MB

01 - Installation and Setup/004 macOS - Download the Anaconda Distribution, our Python development environment_en.srt

7.1 kB

01 - Installation and Setup/005 macOS - Install Anaconda Distribution.mp4

41 MB

01 - Installation and Setup/005 macOS - Install Anaconda Distribution_en.srt

13 kB

01 - Installation and Setup/006 macOS - Access the Terminal Application.mp4

52 MB

01 - Installation and Setup/006 macOS - Access the Terminal Application_en.srt

14 kB

01 - Installation and Setup/007 macOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4

59 MB

01 - Installation and Setup/007 macOS - Create conda Environment and Install pandas and Jupyter Notebook_en.srt

22 kB

01 - Installation and Setup/008 macOS - Unpack Course Materials + The Start and Shutdown Process.mp4

52 MB

01 - Installation and Setup/008 macOS - Unpack Course Materials + The Start and Shutdown Process_en.srt

22 kB

01 - Installation and Setup/009 Windows - Download the Anaconda Distribution.mp4

10 MB

01 - Installation and Setup/009 Windows - Download the Anaconda Distribution_en.srt

7.5 kB

01 - Installation and Setup/010 Windows - Install Anaconda Distribution.mp4

16 MB

01 - Installation and Setup/010 Windows - Install Anaconda Distribution_en.srt

10 kB

01 - Installation and Setup/011 Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4

48 MB

01 - Installation and Setup/011 Windows - Create conda Environment and Install pandas and Jupyter Notebook_en.srt

31 kB

01 - Installation and Setup/012 Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4

27 MB

01 - Installation and Setup/012 Windows - Unpack Course Materials + The Startdown and Shutdown Process_en.srt

22 kB

01 - Installation and Setup/013 Intro to the Jupyter Notebook Interface.mp4

16 MB

01 - Installation and Setup/013 Intro to the Jupyter Notebook Interface_en.srt

16 kB

01 - Installation and Setup/014 Cell Types and Cell Modes in Jupyter Notebook.mp4

10 MB

01 - Installation and Setup/014 Cell Types and Cell Modes in Jupyter Notebook_en.srt

11 kB

01 - Installation and Setup/015 Code Cell Execution in Jupyter Notebook.mp4

4.7 MB

01 - Installation and Setup/015 Code Cell Execution in Jupyter Notebook_en.srt

4.5 kB

01 - Installation and Setup/016 Popular Keyboard Shortcuts in Jupyter Notebook.mp4

8.1 MB

01 - Installation and Setup/016 Popular Keyboard Shortcuts in Jupyter Notebook_en.srt

5.6 kB

01 - Installation and Setup/017 Import Libraries into Jupyter Notebook.mp4

14 MB

01 - Installation and Setup/017 Import Libraries into Jupyter Notebook_en.srt

13 kB

01 - Installation and Setup/018 Troubleshooting Issues with Jupyter Notebook.html

420 B

01 - Installation and Setup/21929926-pandas.zip

685 kB

01 - Installation and Setup/23001890-pandas.zip

686 kB

01 - Installation and Setup/24889460-notebooks.zip

280 kB

01 - Installation and Setup/7040216-pandas.zip

685 kB

01 - Installation and Setup/external-assets-links.txt

209 B

02 - BONUS_ Python Crash Course/001 Intro to the Python Crash Course.mp4

7.6 MB

02 - BONUS_ Python Crash Course/001 Intro to the Python Crash Course_en.srt

6.0 kB

02 - BONUS_ Python Crash Course/002 Comments.mp4

4.1 MB

02 - BONUS_ Python Crash Course/002 Comments_en.srt

5.1 kB

02 - BONUS_ Python Crash Course/003 Basic Data Types.mp4

18 MB

02 - BONUS_ Python Crash Course/003 Basic Data Types_en.srt

17 kB

02 - BONUS_ Python Crash Course/004 Operators.mp4

28 MB

02 - BONUS_ Python Crash Course/004 Operators_en.srt

24 kB

02 - BONUS_ Python Crash Course/005 Variables.mp4

13 MB

02 - BONUS_ Python Crash Course/005 Variables_en.srt

13 kB

02 - BONUS_ Python Crash Course/006 Built-in Functions.mp4

18 MB

02 - BONUS_ Python Crash Course/006 Built-in Functions_en.srt

17 kB

02 - BONUS_ Python Crash Course/007 Custom Functions.mp4

31 MB

02 - BONUS_ Python Crash Course/007 Custom Functions_en.srt

26 kB

02 - BONUS_ Python Crash Course/008 String Methods.mp4

40 MB

02 - BONUS_ Python Crash Course/008 String Methods_en.srt

32 kB

02 - BONUS_ Python Crash Course/009 Lists.mp4

28 MB

02 - BONUS_ Python Crash Course/009 Lists_en.srt

20 kB

02 - BONUS_ Python Crash Course/010 Index Positions and Slicing.mp4

30 MB

02 - BONUS_ Python Crash Course/010 Index Positions and Slicing_en.srt

24 kB

02 - BONUS_ Python Crash Course/011 Dictionaries.mp4

29 MB

02 - BONUS_ Python Crash Course/011 Dictionaries_en.srt

24 kB

03 - Series/001 Create Jupyter Notebook for the Series Module.mp4

2.9 MB

03 - Series/001 Create Jupyter Notebook for the Series Module_en.srt

3.5 kB

03 - Series/002 Create A Series Object from a Python List.mp4

23 MB

03 - Series/002 Create A Series Object from a Python List_en.srt

17 kB

03 - Series/003 Create A Series Object from a Python Dictionary.mp4

6.5 MB

03 - Series/003 Create A Series Object from a Python Dictionary_en.srt

4.5 kB

03 - Series/004 Coding Exercise SOLUTION_ Create a Series Object.html

905 B

03 - Series/005 Intro to Attributes on a Series Object.mp4

19 MB

03 - Series/005 Intro to Attributes on a Series Object_en.srt

12 kB

03 - Series/006 Intro to Methods on a Series Object.mp4

9.5 MB

03 - Series/006 Intro to Methods on a Series Object_en.srt

7.7 kB

03 - Series/007 Parameters and Arguments.mp4

30 MB

03 - Series/007 Parameters and Arguments_en.srt

15 kB

03 - Series/008 Create Series from Dataset with the pd.read_csv Method.mp4

29 MB

03 - Series/008 Create Series from Dataset with the pd.read_csv Method_en.srt

24 kB

03 - Series/009 Coding Exercise SOLUTION_ Import Series with the read_csv Function.html

663 B

03 - Series/010 Use the head and tail Methods to Return Rows from Beginning and End of Dataset.mp4

8.5 MB

03 - Series/010 Use the head and tail Methods to Return Rows from Beginning and End of Dataset_en.srt

5.3 kB

03 - Series/011 Passing pandas Objects to Python Built-In Functions.mp4

12 MB

03 - Series/011 Passing pandas Objects to Python Built-In Functions_en.srt

7.8 kB

03 - Series/012 Accessing More Series Attributes.mp4

26 MB

03 - Series/012 Accessing More Series Attributes_en.srt

9.2 kB

03 - Series/013 Use the sort_values method to sort a Series in ascending or descending order.mp4

28 MB

03 - Series/013 Use the sort_values method to sort a Series in ascending or descending order_en.srt

9.3 kB

03 - Series/014 Use the inplace Parameter to permanently mutate a pandas data structure.mp4

14 MB

03 - Series/014 Use the inplace Parameter to permanently mutate a pandas data structure_en.srt

8.4 kB

03 - Series/015 Use the sort_index Method to Sort the Index of a pandas Series object.mp4

11 MB

03 - Series/015 Use the sort_index Method to Sort the Index of a pandas Series object_en.srt

7.1 kB

03 - Series/016 Coding Exercise SOLUTION_ The sort_values and sort_index Methods.html

1.1 kB

03 - Series/017 Use Python's in Keyword to Check for Inclusion in Series values or index.mp4

9.2 MB

03 - Series/017 Use Python's in Keyword to Check for Inclusion in Series values or index_en.srt

5.8 kB

03 - Series/018 Extract Series Values by Index Positiox.mp4

24 MB

03 - Series/018 Extract Series Values by Index Positiox_en.srt

6.5 kB

03 - Series/019 Extract Series Values by Index Label.mp4

22 MB

03 - Series/019 Extract Series Values by Index Label_en.srt

16 kB

03 - Series/020 Coding Exercise SOLUTION_ Extract Series Values by Index Position or Index Label.html

928 B

03 - Series/021 Use the get Method to Retrieve a Value for an index label in a Series.mp4

21 MB

03 - Series/021 Use the get Method to Retrieve a Value for an index label in a Series_en.srt

14 kB

03 - Series/022 Math Methods on Series Objects.mp4

15 MB

03 - Series/022 Math Methods on Series Objects_en.srt

8.0 kB

03 - Series/023 Use the idxmax and idxmin Methods to Find Index of Greatest or Smallest Value.mp4

8.8 MB

03 - Series/023 Use the idxmax and idxmin Methods to Find Index of Greatest or Smallest Value_en.srt

4.5 kB

03 - Series/024 Use the value_counts Method to See Counts of Unique Values within a Series.mp4

8.2 MB

03 - Series/024 Use the value_counts Method to See Counts of Unique Values within a Series_en.srt

5.3 kB

03 - Series/025 Use the apply Method to Invoke a Function on Every Series Values.mp4

18 MB

03 - Series/025 Use the apply Method to Invoke a Function on Every Series Values_en.srt

10 kB

03 - Series/026 The Series#map Method.mp4

23 MB

03 - Series/026 The Series#map Method_en.srt

9.8 kB

03 - Series/external-assets-links.txt

692 B

04 - DataFrames I_ Introduction/001 Intro to DataFrames I Module.mp4

50 MB

04 - DataFrames I_ Introduction/001 Intro to DataFrames I Module_en.srt

15 kB

04 - DataFrames I_ Introduction/002 Shared Methods and Attributes between Series and DataFrames.mp4

42 MB

04 - DataFrames I_ Introduction/002 Shared Methods and Attributes between Series and DataFrames_en.srt

22 kB

04 - DataFrames I_ Introduction/003 Differences between Shared Methods.mp4

27 MB

04 - DataFrames I_ Introduction/003 Differences between Shared Methods_en.srt

10 kB

04 - DataFrames I_ Introduction/004 Select One Column from a DataFrame.mp4

42 MB

04 - DataFrames I_ Introduction/004 Select One Column from a DataFrame_en.srt

12 kB

04 - DataFrames I_ Introduction/005 Coding Exercise SOLUTION_ Select One Column from a DataFrame.html

573 B

04 - DataFrames I_ Introduction/006 Select Two or More Columns from a DataFrame.mp4

13 MB

04 - DataFrames I_ Introduction/006 Select Two or More Columns from a DataFrame_en.srt

8.4 kB

04 - DataFrames I_ Introduction/007 Coding Exercise SOLUTION_ Select Two or More Columns from a DataFrame.html

802 B

04 - DataFrames I_ Introduction/008 Add New Column to DataFrame.mp4

41 MB

04 - DataFrames I_ Introduction/008 Add New Column to DataFrame_en.srt

12 kB

04 - DataFrames I_ Introduction/009 Broadcasting Operations on DataFrames.mp4

31 MB

04 - DataFrames I_ Introduction/009 Broadcasting Operations on DataFrames_en.srt

14 kB

04 - DataFrames I_ Introduction/010 A Review of the value_counts Method.mp4

7.9 MB

04 - DataFrames I_ Introduction/010 A Review of the value_counts Method_en.srt

6.1 kB

04 - DataFrames I_ Introduction/011 Drop DataFrame Rows with Null Values with the dropna Method.mp4

37 MB

04 - DataFrames I_ Introduction/011 Drop DataFrame Rows with Null Values with the dropna Method_en.srt

9.9 kB

04 - DataFrames I_ Introduction/012 Coding Exercise SOLUTION_ Delete DataFrame Rows with Missing Values.html

489 B

04 - DataFrames I_ Introduction/013 Fill in Null DataFrame Values with the fillna Method.mp4

15 MB

04 - DataFrames I_ Introduction/013 Fill in Null DataFrame Values with the fillna Method_en.srt

7.1 kB

04 - DataFrames I_ Introduction/014 Convert DataFrame Column Types with the astype Method.mp4

61 MB

04 - DataFrames I_ Introduction/014 Convert DataFrame Column Types with the astype Method_en.srt

16 kB

04 - DataFrames I_ Introduction/015 Sort a DataFrame with the sort_values Method, Part I.mp4

43 MB

04 - DataFrames I_ Introduction/015 Sort a DataFrame with the sort_values Method, Part I_en.srt

8.5 kB

04 - DataFrames I_ Introduction/016 Sort a DataFrame with the sort_values Method, Part II.mp4

17 MB

04 - DataFrames I_ Introduction/016 Sort a DataFrame with the sort_values Method, Part II_en.srt

6.3 kB

04 - DataFrames I_ Introduction/017 Coding Exercise SOLUTION_ The sort_values Method on a DataFrame.html

1.0 kB

04 - DataFrames I_ Introduction/018 Sort DataFrame Indexwith the sort_index Method.mp4

19 MB

04 - DataFrames I_ Introduction/018 Sort DataFrame Indexwith the sort_index Method_en.srt

4.1 kB

04 - DataFrames I_ Introduction/019 Rank Series Values with the rank Method.mp4

22 MB

04 - DataFrames I_ Introduction/019 Rank Series Values with the rank Method_en.srt

8.7 kB

04 - DataFrames I_ Introduction/external-assets-links.txt

117 B

05 - DataFrames II_ Filtering Data/001 This Module's Dataset + Memory Optimization.mp4

75 MB

05 - DataFrames II_ Filtering Data/001 This Module's Dataset + Memory Optimization_en.srt

25 kB

05 - DataFrames II_ Filtering Data/002 Filter a DataFrame Based on A Condition.mp4

82 MB

05 - DataFrames II_ Filtering Data/002 Filter a DataFrame Based on A Condition_en.srt

19 kB

05 - DataFrames II_ Filtering Data/003 Filter DataFrame with More than One Condition (AND - &).mp4

15 MB

05 - DataFrames II_ Filtering Data/003 Filter DataFrame with More than One Condition (AND - &)_en.srt

6.6 kB

05 - DataFrames II_ Filtering Data/004 Filter DataFrame with More than One Condition (OR - _).mp4

28 MB

05 - DataFrames II_ Filtering Data/004 Filter DataFrame with More than One Condition (OR - _)_en.srt

13 kB

05 - DataFrames II_ Filtering Data/005 Check for Inclusion with the isin Method.mp4

21 MB

05 - DataFrames II_ Filtering Data/005 Check for Inclusion with the isin Method_en.srt

9.7 kB

05 - DataFrames II_ Filtering Data/006 Check for Null and Present DataFrame Values with the isnull and notnull Methods.mp4

19 MB

05 - DataFrames II_ Filtering Data/006 Check for Null and Present DataFrame Values with the isnull and notnull Methods_en.srt

8.5 kB

05 - DataFrames II_ Filtering Data/007 Check For Inclusion Within a Range of Values with the between Method.mp4

26 MB

05 - DataFrames II_ Filtering Data/007 Check For Inclusion Within a Range of Values with the between Method_en.srt

11 kB

05 - DataFrames II_ Filtering Data/008 Check for Duplicate DataFrame Rows with the duplicated Method.mp4

54 MB

05 - DataFrames II_ Filtering Data/008 Check for Duplicate DataFrame Rows with the duplicated Method_en.srt

14 kB

05 - DataFrames II_ Filtering Data/009 Delete Duplicate DataFrame Rows with the drop_duplicates Method.mp4

32 MB

05 - DataFrames II_ Filtering Data/009 Delete Duplicate DataFrame Rows with the drop_duplicates Method_en.srt

12 kB

05 - DataFrames II_ Filtering Data/010 Identify and Count Unique Values with the unique and nunique Methods.mp4

7.6 MB

05 - DataFrames II_ Filtering Data/010 Identify and Count Unique Values with the unique and nunique Methods_en.srt

6.5 kB

05 - DataFrames II_ Filtering Data/external-assets-links.txt

464 B

06 - DataFrames III_ Data Extraction/001 Intro to the DataFrames III Module + Import Dataset.mp4

12 MB

06 - DataFrames III_ Data Extraction/001 Intro to the DataFrames III Module + Import Dataset_en.srt

7.5 kB

06 - DataFrames III_ Data Extraction/002 Use the set_index and reset_index methods to define a new DataFrame index.mp4

18 MB

06 - DataFrames III_ Data Extraction/002 Use the set_index and reset_index methods to define a new DataFrame index_en.srt

11 kB

06 - DataFrames III_ Data Extraction/003 Retrieve Rows by Index Label with loc Accessor.mp4

34 MB

06 - DataFrames III_ Data Extraction/003 Retrieve Rows by Index Label with loc Accessor_en.srt

19 kB

06 - DataFrames III_ Data Extraction/004 Retrieve Rows by Index Position with iloc Accessor.mp4

17 MB

06 - DataFrames III_ Data Extraction/004 Retrieve Rows by Index Position with iloc Accessor_en.srt

11 kB

06 - DataFrames III_ Data Extraction/005 Passing second arguments to the loc and iloc Accessors.mp4

26 MB

06 - DataFrames III_ Data Extraction/005 Passing second arguments to the loc and iloc Accessors_en.srt

13 kB

06 - DataFrames III_ Data Extraction/006 Set New Value for a Specific Cell or Cells In a Row.mp4

6.5 MB

06 - DataFrames III_ Data Extraction/006 Set New Value for a Specific Cell or Cells In a Row_en.srt

7.2 kB

06 - DataFrames III_ Data Extraction/007 Set Multiple Values in a DataFrame.mp4

16 MB

06 - DataFrames III_ Data Extraction/007 Set Multiple Values in a DataFrame_en.srt

9.4 kB

06 - DataFrames III_ Data Extraction/008 Rename Index Labels or Columns in a DataFrame.mp4

58 MB

06 - DataFrames III_ Data Extraction/008 Rename Index Labels or Columns in a DataFrame_en.srt

14 kB

06 - DataFrames III_ Data Extraction/009 Delete Rows or Columns from a DataFrame.mp4

29 MB

06 - DataFrames III_ Data Extraction/009 Delete Rows or Columns from a DataFrame_en.srt

11 kB

06 - DataFrames III_ Data Extraction/010 Create Random Sample with the sample Method.mp4

12 MB

06 - DataFrames III_ Data Extraction/010 Create Random Sample with the sample Method_en.srt

6.9 kB

06 - DataFrames III_ Data Extraction/011 Use the nsmallest _ nlargest methods to get rows with smallest _ largest values.mp4

28 MB

06 - DataFrames III_ Data Extraction/011 Use the nsmallest _ nlargest methods to get rows with smallest _ largest values_en.srt

7.9 kB

06 - DataFrames III_ Data Extraction/012 Filter A DataFrame with the where method.mp4

34 MB

06 - DataFrames III_ Data Extraction/012 Filter A DataFrame with the where method_en.srt

7.4 kB

06 - DataFrames III_ Data Extraction/013 Filter A DataFrame with the query method.mp4

33 MB

06 - DataFrames III_ Data Extraction/013 Filter A DataFrame with the query method_en.srt

13 kB

06 - DataFrames III_ Data Extraction/014 A Review of the apply Method on a pandas Series Object.mp4

19 MB

06 - DataFrames III_ Data Extraction/014 A Review of the apply Method on a pandas Series Object_en.srt

8.5 kB

06 - DataFrames III_ Data Extraction/015 Apply a Function to every DataFrame Row with the apply Method.mp4

17 MB

06 - DataFrames III_ Data Extraction/015 Apply a Function to every DataFrame Row with the apply Method_en.srt

9.8 kB

06 - DataFrames III_ Data Extraction/016 Create a Copy of a DataFrame with the copy Method.mp4

36 MB

06 - DataFrames III_ Data Extraction/016 Create a Copy of a DataFrame with the copy Method_en.srt

10 kB

06 - DataFrames III_ Data Extraction/external-assets-links.txt

1.3 kB

07 - Working with Text Data/001 Intro to the Working with Text Data Section.mp4

14 MB

07 - Working with Text Data/001 Intro to the Working with Text Data Section_en.srt

9.2 kB

07 - Working with Text Data/002 Common String Methods - lower, upper, title, and len.mp4

48 MB

07 - Working with Text Data/002 Common String Methods - lower, upper, title, and len_en.srt

10 kB

07 - Working with Text Data/003 Use the str.replace method to replace all occurrences of character with another.mp4

39 MB

07 - Working with Text Data/003 Use the str.replace method to replace all occurrences of character with another_en.srt

12 kB

07 - Working with Text Data/004 Filter a DataFrame's Rows with String Methods.mp4

36 MB

07 - Working with Text Data/004 Filter a DataFrame's Rows with String Methods_en.srt

9.9 kB

07 - Working with Text Data/005 More DataFrame String Methods - strip, lstrip, and rstrip.mp4

7.9 MB

07 - Working with Text Data/005 More DataFrame String Methods - strip, lstrip, and rstrip_en.srt

6.5 kB

07 - Working with Text Data/006 Invoke String Methods on DataFrame Index and Columns.mp4

15 MB

07 - Working with Text Data/006 Invoke String Methods on DataFrame Index and Columns_en.srt

7.9 kB

07 - Working with Text Data/007 Split Strings by Characters with the str.split Method.mp4

28 MB

07 - Working with Text Data/007 Split Strings by Characters with the str.split Method_en.srt

13 kB

07 - Working with Text Data/008 More Practice with the str.split method on a Series.mp4

36 MB

07 - Working with Text Data/008 More Practice with the str.split method on a Series_en.srt

8.7 kB

07 - Working with Text Data/009 Exploring the expand and n Parameters of the str.split Method.mp4

28 MB

07 - Working with Text Data/009 Exploring the expand and n Parameters of the str.split Method_en.srt

10 kB

07 - Working with Text Data/external-assets-links.txt

971 B

08 - MultiIndex/001 Intro to the MultiIndex Module.mp4

9.8 MB

08 - MultiIndex/001 Intro to the MultiIndex Module_en.srt

7.5 kB

08 - MultiIndex/002 Create a MultiIndex on a DataFrame with the set_index Method.mp4

22 MB

08 - MultiIndex/002 Create a MultiIndex on a DataFrame with the set_index Method_en.srt

15 kB

08 - MultiIndex/003 Extract Index Level Values with the get_level_values Method.mp4

9.9 MB

08 - MultiIndex/003 Extract Index Level Values with the get_level_values Method_en.srt

6.4 kB

08 - MultiIndex/004 Change Index Level Name with the set_names Method.mp4

9.1 MB

08 - MultiIndex/004 Change Index Level Name with the set_names Method_en.srt

5.9 kB

08 - MultiIndex/005 The sort_index Method on a MultiIndex DataFrame.mp4

17 MB

08 - MultiIndex/005 The sort_index Method on a MultiIndex DataFrame_en.srt

12 kB

08 - MultiIndex/006 Extract Rows from a MultiIndex DataFrame.mp4

23 MB

08 - MultiIndex/006 Extract Rows from a MultiIndex DataFrame_en.srt

17 kB

08 - MultiIndex/007 The transpose Method on a MultiIndex DataFrame.mp4

18 MB

08 - MultiIndex/007 The transpose Method on a MultiIndex DataFrame_en.srt

12 kB

08 - MultiIndex/008 The .swaplevel() Method.mp4

4.9 MB

08 - MultiIndex/008 The .swaplevel() Method_en.srt

5.3 kB

08 - MultiIndex/009 The .stack() Method.mp4

36 MB

08 - MultiIndex/009 The .stack() Method_en.srt

10 kB

08 - MultiIndex/010 The .unstack() Method, Part 1.mp4

11 MB

08 - MultiIndex/010 The .unstack() Method, Part 1_en.srt

5.9 kB

08 - MultiIndex/011 The .unstack() Method, Part 2.mp4

31 MB

08 - MultiIndex/011 The .unstack() Method, Part 2_en.srt

9.8 kB

08 - MultiIndex/012 The .unstack() Method, Part 3.mp4

27 MB

08 - MultiIndex/012 The .unstack() Method, Part 3_en.srt

8.4 kB

08 - MultiIndex/013 The pivot Method.mp4

16 MB

08 - MultiIndex/013 The pivot Method_en.srt

12 kB

08 - MultiIndex/014 Use the pivot_table method to create an aggregate summary of a DataFrame.mp4

33 MB

08 - MultiIndex/014 Use the pivot_table method to create an aggregate summary of a DataFrame_en.srt

17 kB

08 - MultiIndex/015 Use the pd.melt method to create a narrow dataset from a wide one.mp4

48 MB

08 - MultiIndex/015 Use the pd.melt method to create a narrow dataset from a wide one_en.srt

9.5 kB

08 - MultiIndex/external-assets-links.txt

1.3 kB

09 - The GroupBy Object/001 Intro to the Groupby Module.mp4

23 MB

09 - The GroupBy Object/001 Intro to the Groupby Module_en.srt

12 kB

09 - The GroupBy Object/002 First Operations with groupby Object.mp4

62 MB

09 - The GroupBy Object/002 First Operations with groupby Object_en.srt

14 kB

09 - The GroupBy Object/003 Retrieve a group from a GroupBy object with the get_group Method.mp4

9.2 MB

09 - The GroupBy Object/003 Retrieve a group from a GroupBy object with the get_group Method_en.srt

5.6 kB

09 - The GroupBy Object/004 Methods on the Groupby Object and DataFrame Columns.mp4

33 MB

09 - The GroupBy Object/004 Methods on the Groupby Object and DataFrame Columns_en.srt

13 kB

09 - The GroupBy Object/005 Grouping by Multiple Columns.mp4

24 MB

09 - The GroupBy Object/005 Grouping by Multiple Columns_en.srt

6.8 kB

09 - The GroupBy Object/006 The .agg() Method.mp4

42 MB

09 - The GroupBy Object/006 The .agg() Method_en.srt

9.0 kB

09 - The GroupBy Object/007 Iterating through Groups.mp4

34 MB

09 - The GroupBy Object/007 Iterating through Groups_en.srt

13 kB

10 - Merging, Joining, and Concatenating DataFrames/001 Intro to the Merging, Joining, and Concatenating Section.mp4

12 MB

10 - Merging, Joining, and Concatenating DataFrames/001 Intro to the Merging, Joining, and Concatenating Section_en.srt

7.5 kB

10 - Merging, Joining, and Concatenating DataFrames/002 The pd.concat Method, Part 1.mp4

10 MB

10 - Merging, Joining, and Concatenating DataFrames/002 The pd.concat Method, Part 1_en.srt

8.2 kB

10 - Merging, Joining, and Concatenating DataFrames/003 The pd.concat Method, Part 2.mp4

15 MB

10 - Merging, Joining, and Concatenating DataFrames/003 The pd.concat Method, Part 2_en.srt

10 kB

10 - Merging, Joining, and Concatenating DataFrames/004 Inner Joins, Part 1.mp4

43 MB

10 - Merging, Joining, and Concatenating DataFrames/004 Inner Joins, Part 1_en.srt

15 kB

10 - Merging, Joining, and Concatenating DataFrames/005 Inner Joins, Part 2.mp4

21 MB

10 - Merging, Joining, and Concatenating DataFrames/005 Inner Joins, Part 2_en.srt

14 kB

10 - Merging, Joining, and Concatenating DataFrames/006 Outer Joins.mp4

60 MB

10 - Merging, Joining, and Concatenating DataFrames/006 Outer Joins_en.srt

19 kB

10 - Merging, Joining, and Concatenating DataFrames/007 Left Joins.mp4

63 MB

10 - Merging, Joining, and Concatenating DataFrames/007 Left Joins_en.srt

14 kB

10 - Merging, Joining, and Concatenating DataFrames/008 The left_on and right_on Parameters.mp4

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10 - Merging, Joining, and Concatenating DataFrames/008 The left_on and right_on Parameters_en.srt

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10 - Merging, Joining, and Concatenating DataFrames/009 Merging by Indexes with the left_index and right_index Parameters.mp4

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10 - Merging, Joining, and Concatenating DataFrames/010 The .join() Method.mp4

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10 - Merging, Joining, and Concatenating DataFrames/010 The .join() Method_en.srt

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10 - Merging, Joining, and Concatenating DataFrames/011 The pd.merge() Method.mp4

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10 - Merging, Joining, and Concatenating DataFrames/011 The pd.merge() Method_en.srt

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10 - Merging, Joining, and Concatenating DataFrames/external-assets-links.txt

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11 - Working with Dates and Times in Datasets/001 Intro to the Working with Dates and Times Module.mp4

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11 - Working with Dates and Times in Datasets/001 Intro to the Working with Dates and Times Module_en.srt

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11 - Working with Dates and Times in Datasets/002 Review of Python's datetime Module.mp4

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11 - Working with Dates and Times in Datasets/002 Review of Python's datetime Module_en.srt

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11 - Working with Dates and Times in Datasets/003 The pandas Timestamp Object.mp4

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11 - Working with Dates and Times in Datasets/003 The pandas Timestamp Object_en.srt

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11 - Working with Dates and Times in Datasets/004 The pandas DateTimeIndex Object.mp4

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11 - Working with Dates and Times in Datasets/004 The pandas DateTimeIndex Object_en.srt

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11 - Working with Dates and Times in Datasets/005 The pd.to_datetime() Method.mp4

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11 - Working with Dates and Times in Datasets/006 Create Range of Dates with the pd.date_range() Method, Part 1.mp4

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11 - Working with Dates and Times in Datasets/007 Create Range of Dates with the pd.date_range() Method, Part 2.mp4

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11 - Working with Dates and Times in Datasets/008 Create Range of Dates with the pd.date_range() Method, Part 3.mp4

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11 - Working with Dates and Times in Datasets/009 The .dt Accessor.mp4

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11 - Working with Dates and Times in Datasets/010 Install pandas-datareader Library.mp4

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11 - Working with Dates and Times in Datasets/011 Import Financial Data Set with pandas_datareader Library.mp4

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11 - Working with Dates and Times in Datasets/012 Selecting Rows from a DataFrame with a DateTimeIndex.mp4

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11 - Working with Dates and Times in Datasets/013 Timestamp Object Attributes and Methods.mp4

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11 - Working with Dates and Times in Datasets/014 The pd.DateOffset Object.mp4

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11 - Working with Dates and Times in Datasets/014 The pd.DateOffset Object_en.srt

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11 - Working with Dates and Times in Datasets/015 Timeseries Offsets.mp4

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11 - Working with Dates and Times in Datasets/016 The Timedelta Object.mp4

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11 - Working with Dates and Times in Datasets/017 Timedeltas in a Dataset.mp4

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12 - Input and Output in pandas/001 Intro to the Input and Output Section.mp4

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12 - Input and Output in pandas/002 Pass a URL to the pd.read_csv Method.mp4

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12 - Input and Output in pandas/003 Quick Object Conversions.mp4

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12 - Input and Output in pandas/004 Export CSV File with the to_csv Method.mp4

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12 - Input and Output in pandas/005 Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4

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12 - Input and Output in pandas/006 Import Excel File into pandas with the read_excel Method.mp4

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12 - Input and Output in pandas/006 Import Excel File into pandas with the read_excel Method_en.srt

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12 - Input and Output in pandas/007 Export Excel File with the to_excel Method.mp4

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12 - Input and Output in pandas/external-assets-links.txt

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13 - Visualization/001 Intro to Visualization Section.mp4

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13 - Visualization/002 Use the plot Method to Render a Line Chart.mp4

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13 - Visualization/003 Modifying Plot Aesthetics with matplotlib Templates.mp4

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13 - Visualization/004 Creating Bar Graphs to Show Counts.mp4

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13 - Visualization/005 Creating Pie Charts to Represent Proportions.mp4

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14 - Options and Settings in pandas/001 Introduction to the Options and Settings Module.mp4

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14 - Options and Settings in pandas/002 Changing pandas Options with Attributes and Dot Syntax.mp4

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14 - Options and Settings in pandas/002 Changing pandas Options with Attributes and Dot Syntax_en.srt

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14 - Options and Settings in pandas/003 Changing pandas Options with Methods.mp4

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14 - Options and Settings in pandas/003 Changing pandas Options with Methods_en.srt

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14 - Options and Settings in pandas/004 The precision Option.mp4

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14 - Options and Settings in pandas/004 The precision Option_en.srt

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15 - Conclusion/001 Conclusion.mp4

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15 - Conclusion/002 Bonus_.html

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