| 1. Installation and Setup | |||
| 1. Introduction to the Course.mp4 | 34 MB | ||
| 1. Introduction to the Course.srt | 19.55 KB | ||
| 1.1 pandas.zip.zip | 684.75 KB | ||
| 10. Windows - Install Anaconda Distribution.mp4 | 15.2 MB | ||
| 10. Windows - Install Anaconda Distribution.srt | 6.23 KB | ||
| 11. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4 | 19.06 MB | ||
| 11. Windows - Access the Command Prompt and Update Anaconda Libraries.srt | 17.98 KB | ||
| 12. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 | 15.47 MB | ||
| 12. Windows - Unpack Course Materials + The Startdown and Shutdown Process.srt | 15.1 KB | ||
| 13. Intro to the Jupyter Notebook Interface.mp4 | 9.31 MB | ||
| 13. Intro to the Jupyter Notebook Interface.srt | 8.44 KB | ||
| 14. Cell Types and Cell Modes.mp4 | 11.68 MB | ||
| 14. Cell Types and Cell Modes.srt | 11.49 KB | ||
| 15. Code Cell Execution.mp4 | 8.23 MB | ||
| 15. Code Cell Execution.srt | 7.79 KB | ||
| 16. Popular Keyboard Shortcuts.mp4 | 6.27 MB | ||
| 16. Popular Keyboard Shortcuts.srt | 5.12 KB | ||
| 17. Import Libraries into Jupyter Notebook.mp4 | 11.53 MB | ||
| 17. Import Libraries into Jupyter Notebook.srt | 12.17 KB | ||
| 18. Python Crash Course, Part 1 - Data Types and Variables.mp4 | 11.99 MB | ||
| 18. Python Crash Course, Part 1 - Data Types and Variables.srt | 11.25 KB | ||
| 19. Python Crash Course, Part 2 - Lists.mp4 | 9 MB | ||
| 19. Python Crash Course, Part 2 - Lists.srt | 7.72 KB | ||
| 2. About Me.mp4 | 21.3 MB | ||
| 2. About Me.srt | 1.72 KB | ||
| 20. Python Crash Course, Part 3 - Dictionaries.mp4 | 7.21 MB | ||
| 20. Python Crash Course, Part 3 - Dictionaries.srt | 6.31 KB | ||
| 21. Python Crash Course, Part 4 - Operators.mp4 | 7.87 MB | ||
| 21. Python Crash Course, Part 4 - Operators.srt | 7.02 KB | ||
| 22. Python Crash Course, Part 5 - Functions.mp4 | 10.12 MB | ||
| 22. Python Crash Course, Part 5 - Functions.srt | 9.61 KB | ||
| 3. Completed Course Files.html | 782 B | ||
| 3.1 CompletedCourseFiles.zip.zip | 363.34 KB | ||
| 4. Mac OS - Download the Anaconda Distribution.mp4 | 7.92 MB | ||
| 4. Mac OS - Download the Anaconda Distribution.srt | 5.11 KB | ||
| 5. Mac OS - Install Anaconda Distribution.mp4 | 18.06 MB | ||
| 5. Mac OS - Install Anaconda Distribution.srt | 8.8 KB | ||
| 6. Mac OS - Access the Terminal.mp4 | 6.36 MB | ||
| 6. Mac OS - Access the Terminal.srt | 2.85 KB | ||
| 7. Mac OS - Update Anaconda Libraries.mp4 | 35.27 MB | ||
| 7. Mac OS - Update Anaconda Libraries.srt | 17.73 KB | ||
| 8. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4 | 22.15 MB | ||
| 8. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.srt | 17.87 KB | ||
| 9. Windows - Download the Anaconda Distribution.mp4 | 7.65 MB | ||
| 9. Windows - Download the Anaconda Distribution.srt | 6.13 KB | ||
| 10. Working with Dates and Times | |||
| 1. Intro to the Working with Dates and Times Module.mp4 | 6.32 MB | ||
| 1. Intro to the Working with Dates and Times Module.srt | 6.21 KB | ||
| 10. Install pandas-datareader Library.mp4 | 5.9 MB | ||
| 10. Install pandas-datareader Library.srt | 3.52 KB | ||
| 11. Import Financial Data Set with pandas_datareader Library.mp4 | 25.48 MB | ||
| 11. Import Financial Data Set with pandas_datareader Library.srt | 16.18 KB | ||
| 12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 | 18.34 MB | ||
| 12. Selecting Rows from a DataFrame with a DateTimeIndex.srt | 11.15 KB | ||
| 13. Timestamp Object Attributes.mp4 | 19.57 MB | ||
| 13. Timestamp Object Attributes.srt | 10.65 KB | ||
| 14. The .truncate() Method.mp4 | 9.04 MB | ||
| 14. The .truncate() Method.srt | 4.14 KB | ||
| 15. pd.DateOffset Objects.mp4 | 25.58 MB | ||
| 15. pd.DateOffset Objects.srt | 18.37 KB | ||
| 16. More Fun with pd.DateOffset Objects.mp4 | 31.91 MB | ||
| 16. More Fun with pd.DateOffset Objects.srt | 21.06 KB | ||
| 17. The pandas Timedelta Object.mp4 | 15.41 MB | ||
| 17. The pandas Timedelta Object.srt | 12.16 KB | ||
| 18. Timedeltas in a Dataset.mp4 | 19.55 MB | ||
| 18. Timedeltas in a Dataset.srt | 14.4 KB | ||
| 2. Review of Python's datetime Module.mp4 | 16.73 MB | ||
| 2. Review of Python's datetime Module.srt | 13.18 KB | ||
| 3. The pandas Timestamp Object.mp4 | 12.8 MB | ||
| 3. The pandas Timestamp Object.srt | 10.18 KB | ||
| 4. The pandas DateTimeIndex Object.mp4 | 9.65 MB | ||
| 4. The pandas DateTimeIndex Object.srt | 7.24 KB | ||
| 5. The pd.to_datetime() Method.mp4 | 22.88 MB | ||
| 5. The pd.to_datetime() Method.srt | 15.97 KB | ||
| 6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4 | 19.68 MB | ||
| 6. Create Range of Dates with the pd.date_range() Method, Part 1.srt | 16.84 KB | ||
| 7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4 | 18.54 MB | ||
| 7. Create Range of Dates with the pd.date_range() Method, Part 2.srt | 12.61 KB | ||
| 8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4 | 16.34 MB | ||
| 8. Create Range of Dates with the pd.date_range() Method, Part 3.srt | 10.54 KB | ||
| 9. The .dt Accessor.mp4 | 13.68 MB | ||
| 9. The .dt Accessor.srt | 10.57 KB | ||
| 11. Panels | |||
| 1. DEPRECATION WARNING.html | 474 B | ||
| 10. Transpose a Panel with the .transpose() Method.mp4 | 15.74 MB | ||
| 10. Transpose a Panel with the .transpose() Method.srt | 11.78 KB | ||
| 11. The .swapaxes() Method.mp4 | 9.71 MB | ||
| 11. The .swapaxes() Method.srt | 6.32 KB | ||
| 12. A Review of the Panels Module.html | 135 B | ||
| 2. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4 | 13.67 MB | ||
| 2. Intro to the Module + Fetch Panel Dataset from Google Finance.srt | 11.88 KB | ||
| 3. The Axes of a Panel Object.mp4 | 16.31 MB | ||
| 3. The Axes of a Panel Object.srt | 12.1 KB | ||
| 4. Panel Attributes.mp4 | 10.49 MB | ||
| 4. Panel Attributes.srt | 7.53 KB | ||
| 5. Use Bracket Notation to Extract a DataFrame from a Panel.mp4 | 8.25 MB | ||
| 5. Use Bracket Notation to Extract a DataFrame from a Panel.srt | 6.3 KB | ||
| 6. Extracting with the .loc, .iloc, and .ix Methods.mp4 | 13.53 MB | ||
| 6. Extracting with the .loc, .iloc, and .ix Methods.srt | 10.12 KB | ||
| 7. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4 | 8.68 MB | ||
| 7. Convert Panel to a MultiIndex DataFrame (and Vice Versa).srt | 6.02 KB | ||
| 8. The .major_xs() Method.mp4 | 12.11 MB | ||
| 8. The .major_xs() Method.srt | 8.44 KB | ||
| 9. The .minor_xs() Method.mp4 | 13.62 MB | ||
| 9. The .minor_xs() Method.srt | 9.52 KB | ||
| 12. Input and Output | |||
| 1. Intro to the Input and Output Module.mp4 | 2.8 MB | ||
| 1. Intro to the Input and Output Module.srt | 2.54 KB | ||
| 2. Feed pd.read_csv() Method a URL Argument.mp4 | 7.61 MB | ||
| 2. Feed pd.read_csv() Method a URL Argument.srt | 6.05 KB | ||
| 3. Quick Object Conversions.mp4 | 11.35 MB | ||
| 3. Quick Object Conversions.srt | 7.68 KB | ||
| 4. Export DataFrame to CSV File with the .to_csv() Method.mp4 | 11.36 MB | ||
| 4. Export DataFrame to CSV File with the .to_csv() Method.srt | 9.33 KB | ||
| 5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4 | 5.99 MB | ||
| 5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.srt | 3.63 KB | ||
| 6. Import Excel File into pandas.mp4 | 19.13 MB | ||
| 6. Import Excel File into pandas.srt | 14.72 KB | ||
| 7. Export Excel File.mp4 | 17.8 MB | ||
| 7. Export Excel File.srt | 14.56 KB | ||
| 8. Input and Output.html | 135 B | ||
| 13. Visualization | |||
| 1. Intro to Visualization Module.mp4 | 7.31 MB | ||
| 1. Intro to Visualization Module.srt | 7.04 KB | ||
| 2. The .plot() Method.mp4 | 18.97 MB | ||
| 2. The .plot() Method.srt | 14.79 KB | ||
| 3. Modifying Aesthetics with Templates.mp4 | 12.08 MB | ||
| 3. Modifying Aesthetics with Templates.srt | 8.38 KB | ||
| 4. Bar Graphs.mp4 | 12.27 MB | ||
| 4. Bar Graphs.srt | 10.33 KB | ||
| 5. Pie Charts.mp4 | 9.88 MB | ||
| 5. Pie Charts.srt | 8.13 KB | ||
| 6. Histograms.mp4 | 12.16 MB | ||
| 6. Histograms.srt | 9.5 KB | ||
| 7. Visualization.html | 135 B | ||
| 14. Options and Settings | |||
| 1. Introduction to the Options and Settings Module.mp4 | 3.32 MB | ||
| 1. Introduction to the Options and Settings Module.srt | 2.73 KB | ||
| 2. Changing pandas Options with Attributes and Dot Syntax.mp4 | 19.83 MB | ||
| 2. Changing pandas Options with Attributes and Dot Syntax.srt | 11.72 KB | ||
| 3. Changing pandas Options with Methods.mp4 | 13.92 MB | ||
| 3. Changing pandas Options with Methods.srt | 9.93 KB | ||
| 4. The precision Option.mp4 | 6.11 MB | ||
| 4. The precision Option.srt | 4.99 KB | ||
| 15. Conclusion | |||
| 1. Conclusion.mp4 | 2.95 MB | ||
| 1. Conclusion.srt | 2.77 KB | ||
| 2. Series | |||
| 1. Create Jupyter Notebook for the Series Module.mp4 | 3.81 MB | ||
| 1. Create Jupyter Notebook for the Series Module.srt | 3.25 KB | ||
| 10. More Series Attributes.mp4 | 11.66 MB | ||
| 10. More Series Attributes.srt | 8.86 KB | ||
| 11. The .sort_values() Method.mp4 | 10.83 MB | ||
| 11. The .sort_values() Method.srt | 9.17 KB | ||
| 11.1 Official pandas Documentation.html | 145 B | ||
| 12. The inplace Parameter.mp4 | 9.39 MB | ||
| 12. The inplace Parameter.srt | 8.11 KB | ||
| 13. The .sort_index() Method.mp4 | 8.57 MB | ||
| 13. The .sort_index() Method.srt | 6.87 KB | ||
| 13.1 Official pandas Documentation.html | 144 B | ||
| 14. Python's in Keyword.mp4 | 7.3 MB | ||
| 14. Python's in Keyword.srt | 5.63 KB | ||
| 15. Extract Series Values by Index Position.mp4 | 8.9 MB | ||
| 15. Extract Series Values by Index Position.srt | 5.98 KB | ||
| 16. Extract Series Values by Index Label.mp4 | 13.73 MB | ||
| 16. Extract Series Values by Index Label.srt | 10.69 KB | ||
| 17. The .get() Method on a Series.mp4 | 9.56 MB | ||
| 17. The .get() Method on a Series.srt | 7.08 KB | ||
| 18. Math Methods on Series Objects.mp4 | 10.16 MB | ||
| 18. Math Methods on Series Objects.srt | 7.82 KB | ||
| 19. The .idxmax() and .idxmin() Methods.mp4 | 5.75 MB | ||
| 19. The .idxmax() and .idxmin() Methods.srt | 4.4 KB | ||
| 2. Create A Series Object from a Python List.mp4 | 18.12 MB | ||
| 2. Create A Series Object from a Python List.srt | 16.54 KB | ||
| 20. The .value_counts() Method.mp4 | 6.73 MB | ||
| 20. The .value_counts() Method.srt | 5.22 KB | ||
| 20.1 Official Documentation for the Series.value_counts Method.html | 147 B | ||
| 21. The .apply() Method.mp4 | 12.32 MB | ||
| 21. The .apply() Method.srt | 9.73 KB | ||
| 22. The .map() Method.mp4 | 13.09 MB | ||
| 22. The .map() Method.srt | 9.45 KB | ||
| 23. A Review of the Series Module.html | 135 B | ||
| 3. Create A Series Object from a Python Dictionary.mp4 | 5.19 MB | ||
| 3. Create A Series Object from a Python Dictionary.srt | 4.33 KB | ||
| 4. Intro to Attributes.mp4 | 12.85 MB | ||
| 4. Intro to Attributes.srt | 11.17 KB | ||
| 5. Intro to Methods.mp4 | 7.92 MB | ||
| 5. Intro to Methods.srt | 7.33 KB | ||
| 6. Parameters and Arguments.mp4 | 18.29 MB | ||
| 6. Parameters and Arguments.srt | 14.61 KB | ||
| 7. Import Series with the .read_csv() Method.mp4 | 21.14 MB | ||
| 7. Import Series with the .read_csv() Method.srt | 16.24 KB | ||
| 8. The .head() and .tail() Methods.mp4 | 6.47 MB | ||
| 8. The .head() and .tail() Methods.srt | 5.37 KB | ||
| 8.1 Official pandas Documentation.html | 138 B | ||
| 9. Python Built-In Functions.mp4 | 9.88 MB | ||
| 9. Python Built-In Functions.srt | 7.36 KB | ||
| 3. DataFrames I | |||
| 1. Intro to DataFrames I Module.mp4 | 17.63 MB | ||
| 1. Intro to DataFrames I Module.srt | 11.87 KB | ||
| 10. Fill in Null Values with the .fillna() Method.mp4 | 10.75 MB | ||
| 10. Fill in Null Values with the .fillna() Method.srt | 7.01 KB | ||
| 10.1 Official pandas Documentation.html | 143 B | ||
| 11. The .astype() Method.mp4 | 23.86 MB | ||
| 11. The .astype() Method.srt | 15.45 KB | ||
| 11.1 Official pandas Documentation.html | 143 B | ||
| 12. Sort a DataFrame with the .sort_values() Method, Part I.mp4 | 13.27 MB | ||
| 12. Sort a DataFrame with the .sort_values() Method, Part I.srt | 8.13 KB | ||
| 12.1 Official pandas Documentation.html | 148 B | ||
| 13. Sort a DataFrame with the .sort_values() Method, Part II.mp4 | 8.84 MB | ||
| 13. Sort a DataFrame with the .sort_values() Method, Part II.srt | 6.23 KB | ||
| 13.1 Official pandas Documentation.html | 148 B | ||
| 14. Sort DataFrame with the .sort_index() Method.mp4 | 6.56 MB | ||
| 14. Sort DataFrame with the .sort_index() Method.srt | 4.06 KB | ||
| 14.1 Official pandas Documentation.html | 147 B | ||
| 15. Rank Values with the .rank() Method.mp4 | 13.17 MB | ||
| 15. Rank Values with the .rank() Method.srt | 8.5 KB | ||
| 15.1 Official pandas Documentation.html | 141 B | ||
| 2. Shared Methods and Attributes between Series and DataFrames.mp4 | 15.62 MB | ||
| 2. Shared Methods and Attributes between Series and DataFrames.srt | 11.6 KB | ||
| 3. Differences between Shared Methods.mp4 | 13.11 MB | ||
| 3. Differences between Shared Methods.srt | 9.77 KB | ||
| 4. Select One Column from a DataFrame.mp4 | 14.87 MB | ||
| 4. Select One Column from a DataFrame.srt | 12 KB | ||
| 5. Select Two or More Columns from a DataFrame.mp4 | 9.93 MB | ||
| 5. Select Two or More Columns from a DataFrame.srt | 8.31 KB | ||
| 6. Add New Column to DataFrame.mp4 | 17.23 MB | ||
| 6. Add New Column to DataFrame.srt | 11.73 KB | ||
| 7. Broadcasting Operations.mp4 | 18.23 MB | ||
| 7. Broadcasting Operations.srt | 13.51 KB | ||
| 8. A Review of the .value_counts() Method.mp4 | 8.43 MB | ||
| 8. A Review of the .value_counts() Method.srt | 5.88 KB | ||
| 9. Drop Rows with Null Values.mp4 | 19.2 MB | ||
| 9. Drop Rows with Null Values.srt | 9.43 KB | ||
| 4. DataFrames II | |||
| 1. This Module's Dataset + Memory Optimization.mp4 | 24.45 MB | ||
| 1. This Module's Dataset + Memory Optimization.srt | 17.38 KB | ||
| 10. The .unique() and .nunique() Methods.mp4 | 8.19 MB | ||
| 10. The .unique() and .nunique() Methods.srt | 6.47 KB | ||
| 2. Filter a DataFrame Based on A Condition.mp4 | 27.4 MB | ||
| 2. Filter a DataFrame Based on A Condition.srt | 18.61 KB | ||
| 3. Filter with More than One Condition (AND - &).mp4 | 9.29 MB | ||
| 3. Filter with More than One Condition (AND - &).srt | 6.66 KB | ||
| 4. Filter with More than One Condition (OR - ).mp4 | 16.75 MB | ||
| 4. Filter with More than One Condition (OR - ).srt | 12.12 KB | ||
| 5. The .isin() Method.mp4 | 12.53 MB | ||
| 5. The .isin() Method.srt | 9.51 KB | ||
| 6. The .isnull() and .notnull() Methods.mp4 | 12.26 MB | ||
| 6. The .isnull() and .notnull() Methods.srt | 8.08 KB | ||
| 7. The .between() Method.mp4 | 16.76 MB | ||
| 7. The .between() Method.srt | 10.19 KB | ||
| 8. The .duplicated() Method.mp4 | 19.56 MB | ||
| 8. The .duplicated() Method.srt | 13.71 KB | ||
| 8.1 Official documentation for the DataFrame.duplicated method.html | 152 B | ||
| 9. The .drop_duplicates() Method.mp4 | 17.55 MB | ||
| 9. The .drop_duplicates() Method.srt | 12.44 KB | ||
| 9.1 Official documentation for the DataFrame.drop_duplicates method.html | 157 B | ||
| 5. DataFrames III | |||
| 1. Intro to the DataFrames III Module + Import Dataset.mp4 | 7.67 MB | ||
| 1. Intro to the DataFrames III Module + Import Dataset.srt | 5.28 KB | ||
| 10. Delete Rows or Columns from a DataFrame.mp4 | 16.22 MB | ||
| 10. Delete Rows or Columns from a DataFrame.srt | 10.66 KB | ||
| 11. Create Random Sample with the .sample() Method.mp4 | 9.33 MB | ||
| 11. Create Random Sample with the .sample() Method.srt | 6.91 KB | ||
| 12. The .nsmallest() and .nlargest() Methods.mp4 | 12.07 MB | ||
| 12. The .nsmallest() and .nlargest() Methods.srt | 7.54 KB | ||
| 13. Filtering with the .where() Method.mp4 | 13.56 MB | ||
| 13. Filtering with the .where() Method.srt | 7.26 KB | ||
| 14. The .query() Method.mp4 | 19.93 MB | ||
| 14. The .query() Method.srt | 12.59 KB | ||
| 15. A Review of the .apply() Method on Single Columns.mp4 | 11.75 MB | ||
| 15. A Review of the .apply() Method on Single Columns.srt | 7.99 KB | ||
| 16. The .apply() Method with Row Values.mp4 | 13.41 MB | ||
| 16. The .apply() Method with Row Values.srt | 9.67 KB | ||
| 17. The .copy() Method.mp4 | 15.44 MB | ||
| 17. The .copy() Method.srt | 9.82 KB | ||
| 2. The .set_index() and .reset_index() Methods.mp4 | 13.19 MB | ||
| 2. The .set_index() and .reset_index() Methods.srt | 7.27 KB | ||
| 2.1 set_index Documentation.html | 147 B | ||
| 2.2 reset_index Documentation.html | 149 B | ||
| 3. Retrieve Rows by Index Label with .loc[].mp4 | 25.87 MB | ||
| 3. Retrieve Rows by Index Label with .loc[].srt | 14.41 KB | ||
| 3.1 loc[] Documentation.html | 141 B | ||
| 4. Retrieve Rows by Index Position with .iloc[].mp4 | 13.31 MB | ||
| 4. Retrieve Rows by Index Position with .iloc[].srt | 8.63 KB | ||
| 5. The Catch-All .ix[] Method.mp4 | 18.56 MB | ||
| 5. The Catch-All .ix[] Method.srt | 13.5 KB | ||
| 6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.mp4 | 12.36 MB | ||
| 6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.srt | 8.65 KB | ||
| 7. Set New Values for a Specific Cell or Row.mp4 | 8.89 MB | ||
| 7. Set New Values for a Specific Cell or Row.srt | 5.9 KB | ||
| 8. Set Multiple Values in DataFrame.mp4 | 20.54 MB | ||
| 8. Set Multiple Values in DataFrame.srt | 14.64 KB | ||
| 9. Rename Index Labels or Columns in a DataFrame.mp4 | 13.39 MB | ||
| 9. Rename Index Labels or Columns in a DataFrame.srt | 9.67 KB | ||
| 6. Working with Text Data | |||
| 1. Intro to the Working with Text Data Module.mp4 | 13.86 MB | ||
| 1. Intro to the Working with Text Data Module.srt | 9.33 KB | ||
| 2. Common String Methods - lower, upper, title, and len.mp4 | 14.88 MB | ||
| 2. Common String Methods - lower, upper, title, and len.srt | 10.51 KB | ||
| 3. The .str.replace() Method.mp4 | 16 MB | ||
| 3. The .str.replace() Method.srt | 12.04 KB | ||
| 4. Filtering with String Methods.mp4 | 15.54 MB | ||
| 4. Filtering with String Methods.srt | 9.85 KB | ||
| 5. More String Methods - strip, lstrip, and rstrip.mp4 | 9.54 MB | ||
| 5. More String Methods - strip, lstrip, and rstrip.srt | 6.26 KB | ||
| 6. String Methods on Index and Columns.mp4 | 11.12 MB | ||
| 6. String Methods on Index and Columns.srt | 7.57 KB | ||
| 7. Split Strings by Characters with .str.split() Method.mp4 | 17.52 MB | ||
| 7. Split Strings by Characters with .str.split() Method.srt | 12.6 KB | ||
| 8. More Practice with Splits.mp4 | 11.92 MB | ||
| 8. More Practice with Splits.srt | 8.48 KB | ||
| 9. The expand and n Parameters of the .str.split() Method.mp4 | 15.3 MB | ||
| 9. The expand and n Parameters of the .str.split() Method.srt | 10.26 KB | ||
| 7. MultiIndex | |||
| 1. Intro to the MultiIndex Module.mp4 | 8.32 MB | ||
| 1. Intro to the MultiIndex Module.srt | 7 KB | ||
| 10. The .unstack() Method, Part 1.mp4 | 8.49 MB | ||
| 10. The .unstack() Method, Part 1.srt | 5.75 KB | ||
| 11. The .unstack() Method, Part 2.mp4 | 14.54 MB | ||
| 11. The .unstack() Method, Part 2.srt | 9.32 KB | ||
| 12. The .unstack() Method, Part 3.mp4 | 11.96 MB | ||
| 12. The .unstack() Method, Part 3.srt | 7.89 KB | ||
| 13. The .pivot() Method.mp4 | 12.11 MB | ||
| 13. The .pivot() Method.srt | 10.92 KB | ||
| 14. The .pivot_table() Method.mp4 | 22.16 MB | ||
| 14. The .pivot_table() Method.srt | 16.49 KB | ||
| 15. The pd.melt() Method.mp4 | 17.26 MB | ||
| 15. The pd.melt() Method.srt | 9.07 KB | ||
| 2. Create a MultiIndex with the set_index() Method.mp4 | 21.05 MB | ||
| 2. Create a MultiIndex with the set_index() Method.srt | 12.99 KB | ||
| 3. The .get_level_values() Method.mp4 | 16.54 MB | ||
| 3. The .get_level_values() Method.srt | 12.76 KB | ||
| 4. The .set_names() Method.mp4 | 6.09 MB | ||
| 4. The .set_names() Method.srt | 4.78 KB | ||
| 5. The sort_index() Method.mp4 | 10.25 MB | ||
| 5. The sort_index() Method.srt | 8 KB | ||
| 6. Extract Rows from a MultiIndex DataFrame.mp4 | 17.34 MB | ||
| 6. Extract Rows from a MultiIndex DataFrame.srt | 11.72 KB | ||
| 7. The .transpose() Method and MultiIndex on Column Level.mp4 | 11.92 MB | ||
| 7. The .transpose() Method and MultiIndex on Column Level.srt | 7.99 KB | ||
| 8. The .swaplevel() Method.mp4 | 5.18 MB | ||
| 8. The .swaplevel() Method.srt | 3.46 KB | ||
| 9. The .stack() Method.mp4 | 13.2 MB | ||
| 9. The .stack() Method.srt | 9.57 KB | ||
| 8. GroupBy | |||
| 1. Intro to the Groupby Module.mp4 | 14.29 MB | ||
| 1. Intro to the Groupby Module.srt | 12.19 KB | ||
| 2. First Operations with groupby Object.mp4 | 23.08 MB | ||
| 2. First Operations with groupby Object.srt | 13.97 KB | ||
| 3. Retrieve A Group with the .get_group() Method.mp4 | 10.14 MB | ||
| 3. Retrieve A Group with the .get_group() Method.srt | 5.42 KB | ||
| 4. Methods on the Groupby Object and DataFrame Columns.mp4 | 20.49 MB | ||
| 4. Methods on the Groupby Object and DataFrame Columns.srt | 12.73 KB | ||
| 5. Grouping by Multiple Columns.mp4 | 10.34 MB | ||
| 5. Grouping by Multiple Columns.srt | 6.71 KB | ||
| 6. The .agg() Method.mp4 | 13.18 MB | ||
| 6. The .agg() Method.srt | 8.91 KB | ||
| 7. Iterating through Groups.mp4 | 21.37 MB | ||
| 7. Iterating through Groups.srt | 12.74 KB | ||
| 9. Merging, Joining, and Concatenating | |||
| 1. Intro to the Merging, Joining, and Concatenating Module.mp4 | 11.46 MB | ||
| 1. Intro to the Merging, Joining, and Concatenating Module.srt | 8.9 KB | ||
| 10. Merging by Indexes with the left_index and right_index Parameters.mp4 | 22.7 MB | ||
| 10. Merging by Indexes with the left_index and right_index Parameters.srt | 15.4 KB | ||
| 11. The .join() Method.mp4 | 6.28 MB | ||
| 11. The .join() Method.srt | 4.53 KB | ||
| 12. The pd.merge() Method.mp4 | 6.84 MB | ||
| 12. The pd.merge() Method.srt | 4.7 KB | ||
| 2. The pd.concat() Method, Part 1.mp4 | 12.56 MB | ||
| 2. The pd.concat() Method, Part 1.srt | 8.64 KB | ||
| 3. The pd.concat() Method, Part 2.mp4 | 13.2 MB | ||
| 3. The pd.concat() Method, Part 2.srt | 9.77 KB | ||
| 4. The .append() Method on a DataFrame.mp4 | 5.13 MB | ||
| 4. The .append() Method on a DataFrame.srt | 3.23 KB | ||
| 5. Inner Joins, Part 1.mp4 | 17.92 MB | ||
| 5. Inner Joins, Part 1.srt | 14.55 KB | ||
| 6. Inner Joins, Part 2.mp4 | 17.75 MB | ||
| 6. Inner Joins, Part 2.srt | 13.33 KB | ||
| 7. Outer Joins.mp4 | 25.94 MB | ||
| 7. Outer Joins.srt | 17.75 KB | ||
| 8. Left Joins.mp4 | 20.99 MB | ||
| 8. Left Joins.srt | 13.47 KB | ||
| 9. The left_on and right_on Parameters.mp4 | 20.24 MB | ||
| 9. The left_on and right_on Parameters.srt | 13.29 KB | ||
| [CourseClub.Me].url | 48 B | ||
| [DesireCourse.Net].url | 51 B | ||
| [FreeCourseWorld.Com].url | 54 B | ||
| ▲ 374 total files | |||
Data Analysis with Pandas and Python
Analyze data quickly and easily with Python's powerful pandas library! All datasets included --- beginners welcome!
For More Courses Visit: https://desirecourse.net
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