Download Udemy - Data Analysis with Pandas and Python [Desire Course] Torrent

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Udemy - Data Analysis with Pandas and Python [Desire Course]

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1. Installation and Setup

1. Introduction to the Course.mp4	MP4	34 MB
1. Introduction to the Course.srt	SRT	19.55 KB
1.1 pandas.zip.zip	ZIP	684.75 KB
10. Windows - Install Anaconda Distribution.mp4	MP4	15.2 MB
10. Windows - Install Anaconda Distribution.srt	SRT	6.23 KB
11. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4	MP4	19.06 MB
11. Windows - Access the Command Prompt and Update Anaconda Libraries.srt	SRT	17.98 KB
12. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4	MP4	15.47 MB
12. Windows - Unpack Course Materials + The Startdown and Shutdown Process.srt	SRT	15.1 KB
13. Intro to the Jupyter Notebook Interface.mp4	MP4	9.31 MB
13. Intro to the Jupyter Notebook Interface.srt	SRT	8.44 KB
14. Cell Types and Cell Modes.mp4	MP4	11.68 MB
14. Cell Types and Cell Modes.srt	SRT	11.49 KB
15. Code Cell Execution.mp4	MP4	8.23 MB
15. Code Cell Execution.srt	SRT	7.79 KB
16. Popular Keyboard Shortcuts.mp4	MP4	6.27 MB
16. Popular Keyboard Shortcuts.srt	SRT	5.12 KB
17. Import Libraries into Jupyter Notebook.mp4	MP4	11.53 MB
17. Import Libraries into Jupyter Notebook.srt	SRT	12.17 KB
18. Python Crash Course, Part 1 - Data Types and Variables.mp4	MP4	11.99 MB
18. Python Crash Course, Part 1 - Data Types and Variables.srt	SRT	11.25 KB
19. Python Crash Course, Part 2 - Lists.mp4	MP4	9 MB
19. Python Crash Course, Part 2 - Lists.srt	SRT	7.72 KB
2. About Me.mp4	MP4	21.3 MB
2. About Me.srt	SRT	1.72 KB
20. Python Crash Course, Part 3 - Dictionaries.mp4	MP4	7.21 MB
20. Python Crash Course, Part 3 - Dictionaries.srt	SRT	6.31 KB
21. Python Crash Course, Part 4 - Operators.mp4	MP4	7.87 MB
21. Python Crash Course, Part 4 - Operators.srt	SRT	7.02 KB
22. Python Crash Course, Part 5 - Functions.mp4	MP4	10.12 MB
22. Python Crash Course, Part 5 - Functions.srt	SRT	9.61 KB
3. Completed Course Files.html	HTML	782 B
3.1 CompletedCourseFiles.zip.zip	ZIP	363.34 KB
4. Mac OS - Download the Anaconda Distribution.mp4	MP4	7.92 MB
4. Mac OS - Download the Anaconda Distribution.srt	SRT	5.11 KB
5. Mac OS - Install Anaconda Distribution.mp4	MP4	18.06 MB
5. Mac OS - Install Anaconda Distribution.srt	SRT	8.8 KB
6. Mac OS - Access the Terminal.mp4	MP4	6.36 MB
6. Mac OS - Access the Terminal.srt	SRT	2.85 KB
7. Mac OS - Update Anaconda Libraries.mp4	MP4	35.27 MB
7. Mac OS - Update Anaconda Libraries.srt	SRT	17.73 KB
8. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4	MP4	22.15 MB
8. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.srt	SRT	17.87 KB
9. Windows - Download the Anaconda Distribution.mp4	MP4	7.65 MB
9. Windows - Download the Anaconda Distribution.srt	SRT	6.13 KB

10. Working with Dates and Times

1. Intro to the Working with Dates and Times Module.mp4	MP4	6.32 MB
1. Intro to the Working with Dates and Times Module.srt	SRT	6.21 KB
10. Install pandas-datareader Library.mp4	MP4	5.9 MB
10. Install pandas-datareader Library.srt	SRT	3.52 KB
11. Import Financial Data Set with pandas_datareader Library.mp4	MP4	25.48 MB
11. Import Financial Data Set with pandas_datareader Library.srt	SRT	16.18 KB
12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4	MP4	18.34 MB
12. Selecting Rows from a DataFrame with a DateTimeIndex.srt	SRT	11.15 KB
13. Timestamp Object Attributes.mp4	MP4	19.57 MB
13. Timestamp Object Attributes.srt	SRT	10.65 KB
14. The .truncate() Method.mp4	MP4	9.04 MB
14. The .truncate() Method.srt	SRT	4.14 KB
15. pd.DateOffset Objects.mp4	MP4	25.58 MB
15. pd.DateOffset Objects.srt	SRT	18.37 KB
16. More Fun with pd.DateOffset Objects.mp4	MP4	31.91 MB
16. More Fun with pd.DateOffset Objects.srt	SRT	21.06 KB
17. The pandas Timedelta Object.mp4	MP4	15.41 MB
17. The pandas Timedelta Object.srt	SRT	12.16 KB
18. Timedeltas in a Dataset.mp4	MP4	19.55 MB
18. Timedeltas in a Dataset.srt	SRT	14.4 KB
2. Review of Python's datetime Module.mp4	MP4	16.73 MB
2. Review of Python's datetime Module.srt	SRT	13.18 KB
3. The pandas Timestamp Object.mp4	MP4	12.8 MB
3. The pandas Timestamp Object.srt	SRT	10.18 KB
4. The pandas DateTimeIndex Object.mp4	MP4	9.65 MB
4. The pandas DateTimeIndex Object.srt	SRT	7.24 KB
5. The pd.to_datetime() Method.mp4	MP4	22.88 MB
5. The pd.to_datetime() Method.srt	SRT	15.97 KB
6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4	MP4	19.68 MB
6. Create Range of Dates with the pd.date_range() Method, Part 1.srt	SRT	16.84 KB
7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4	MP4	18.54 MB
7. Create Range of Dates with the pd.date_range() Method, Part 2.srt	SRT	12.61 KB
8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4	MP4	16.34 MB
8. Create Range of Dates with the pd.date_range() Method, Part 3.srt	SRT	10.54 KB
9. The .dt Accessor.mp4	MP4	13.68 MB
9. The .dt Accessor.srt	SRT	10.57 KB

11. Panels

1. DEPRECATION WARNING.html	HTML	474 B
10. Transpose a Panel with the .transpose() Method.mp4	MP4	15.74 MB
10. Transpose a Panel with the .transpose() Method.srt	SRT	11.78 KB
11. The .swapaxes() Method.mp4	MP4	9.71 MB
11. The .swapaxes() Method.srt	SRT	6.32 KB
12. A Review of the Panels Module.html	HTML	135 B
2. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4	MP4	13.67 MB
2. Intro to the Module + Fetch Panel Dataset from Google Finance.srt	SRT	11.88 KB
3. The Axes of a Panel Object.mp4	MP4	16.31 MB
3. The Axes of a Panel Object.srt	SRT	12.1 KB
4. Panel Attributes.mp4	MP4	10.49 MB
4. Panel Attributes.srt	SRT	7.53 KB
5. Use Bracket Notation to Extract a DataFrame from a Panel.mp4	MP4	8.25 MB
5. Use Bracket Notation to Extract a DataFrame from a Panel.srt	SRT	6.3 KB
6. Extracting with the .loc, .iloc, and .ix Methods.mp4	MP4	13.53 MB
6. Extracting with the .loc, .iloc, and .ix Methods.srt	SRT	10.12 KB
7. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4	MP4	8.68 MB
7. Convert Panel to a MultiIndex DataFrame (and Vice Versa).srt	SRT	6.02 KB
8. The .major_xs() Method.mp4	MP4	12.11 MB
8. The .major_xs() Method.srt	SRT	8.44 KB
9. The .minor_xs() Method.mp4	MP4	13.62 MB
9. The .minor_xs() Method.srt	SRT	9.52 KB

12. Input and Output

1. Intro to the Input and Output Module.mp4	MP4	2.8 MB
1. Intro to the Input and Output Module.srt	SRT	2.54 KB
2. Feed pd.read_csv() Method a URL Argument.mp4	MP4	7.61 MB
2. Feed pd.read_csv() Method a URL Argument.srt	SRT	6.05 KB
3. Quick Object Conversions.mp4	MP4	11.35 MB
3. Quick Object Conversions.srt	SRT	7.68 KB
4. Export DataFrame to CSV File with the .to_csv() Method.mp4	MP4	11.36 MB
4. Export DataFrame to CSV File with the .to_csv() Method.srt	SRT	9.33 KB
5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4	MP4	5.99 MB
5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.srt	SRT	3.63 KB
6. Import Excel File into pandas.mp4	MP4	19.13 MB
6. Import Excel File into pandas.srt	SRT	14.72 KB
7. Export Excel File.mp4	MP4	17.8 MB
7. Export Excel File.srt	SRT	14.56 KB
8. Input and Output.html	HTML	135 B

13. Visualization

1. Intro to Visualization Module.mp4	MP4	7.31 MB
1. Intro to Visualization Module.srt	SRT	7.04 KB
2. The .plot() Method.mp4	MP4	18.97 MB
2. The .plot() Method.srt	SRT	14.79 KB
3. Modifying Aesthetics with Templates.mp4	MP4	12.08 MB
3. Modifying Aesthetics with Templates.srt	SRT	8.38 KB
4. Bar Graphs.mp4	MP4	12.27 MB
4. Bar Graphs.srt	SRT	10.33 KB
5. Pie Charts.mp4	MP4	9.88 MB
5. Pie Charts.srt	SRT	8.13 KB
6. Histograms.mp4	MP4	12.16 MB
6. Histograms.srt	SRT	9.5 KB
7. Visualization.html	HTML	135 B

14. Options and Settings

1. Introduction to the Options and Settings Module.mp4	MP4	3.32 MB
1. Introduction to the Options and Settings Module.srt	SRT	2.73 KB
2. Changing pandas Options with Attributes and Dot Syntax.mp4	MP4	19.83 MB
2. Changing pandas Options with Attributes and Dot Syntax.srt	SRT	11.72 KB
3. Changing pandas Options with Methods.mp4	MP4	13.92 MB
3. Changing pandas Options with Methods.srt	SRT	9.93 KB
4. The precision Option.mp4	MP4	6.11 MB
4. The precision Option.srt	SRT	4.99 KB

15. Conclusion

	1. Conclusion.mp4	MP4	2.95 MB
	1. Conclusion.srt	SRT	2.77 KB

2. Series

1. Create Jupyter Notebook for the Series Module.mp4	MP4	3.81 MB
1. Create Jupyter Notebook for the Series Module.srt	SRT	3.25 KB
10. More Series Attributes.mp4	MP4	11.66 MB
10. More Series Attributes.srt	SRT	8.86 KB
11. The .sort_values() Method.mp4	MP4	10.83 MB
11. The .sort_values() Method.srt	SRT	9.17 KB
11.1 Official pandas Documentation.html	HTML	145 B
12. The inplace Parameter.mp4	MP4	9.39 MB
12. The inplace Parameter.srt	SRT	8.11 KB
13. The .sort_index() Method.mp4	MP4	8.57 MB
13. The .sort_index() Method.srt	SRT	6.87 KB
13.1 Official pandas Documentation.html	HTML	144 B
14. Python's in Keyword.mp4	MP4	7.3 MB
14. Python's in Keyword.srt	SRT	5.63 KB
15. Extract Series Values by Index Position.mp4	MP4	8.9 MB
15. Extract Series Values by Index Position.srt	SRT	5.98 KB
16. Extract Series Values by Index Label.mp4	MP4	13.73 MB
16. Extract Series Values by Index Label.srt	SRT	10.69 KB
17. The .get() Method on a Series.mp4	MP4	9.56 MB
17. The .get() Method on a Series.srt	SRT	7.08 KB
18. Math Methods on Series Objects.mp4	MP4	10.16 MB
18. Math Methods on Series Objects.srt	SRT	7.82 KB
19. The .idxmax() and .idxmin() Methods.mp4	MP4	5.75 MB
19. The .idxmax() and .idxmin() Methods.srt	SRT	4.4 KB
2. Create A Series Object from a Python List.mp4	MP4	18.12 MB
2. Create A Series Object from a Python List.srt	SRT	16.54 KB
20. The .value_counts() Method.mp4	MP4	6.73 MB
20. The .value_counts() Method.srt	SRT	5.22 KB
20.1 Official Documentation for the Series.value_counts Method.html	HTML	147 B
21. The .apply() Method.mp4	MP4	12.32 MB
21. The .apply() Method.srt	SRT	9.73 KB
22. The .map() Method.mp4	MP4	13.09 MB
22. The .map() Method.srt	SRT	9.45 KB
23. A Review of the Series Module.html	HTML	135 B
3. Create A Series Object from a Python Dictionary.mp4	MP4	5.19 MB
3. Create A Series Object from a Python Dictionary.srt	SRT	4.33 KB
4. Intro to Attributes.mp4	MP4	12.85 MB
4. Intro to Attributes.srt	SRT	11.17 KB
5. Intro to Methods.mp4	MP4	7.92 MB
5. Intro to Methods.srt	SRT	7.33 KB
6. Parameters and Arguments.mp4	MP4	18.29 MB
6. Parameters and Arguments.srt	SRT	14.61 KB
7. Import Series with the .read_csv() Method.mp4	MP4	21.14 MB
7. Import Series with the .read_csv() Method.srt	SRT	16.24 KB
8. The .head() and .tail() Methods.mp4	MP4	6.47 MB
8. The .head() and .tail() Methods.srt	SRT	5.37 KB
8.1 Official pandas Documentation.html	HTML	138 B
9. Python Built-In Functions.mp4	MP4	9.88 MB
9. Python Built-In Functions.srt	SRT	7.36 KB

3. DataFrames I

1. Intro to DataFrames I Module.mp4	MP4	17.63 MB
1. Intro to DataFrames I Module.srt	SRT	11.87 KB
10. Fill in Null Values with the .fillna() Method.mp4	MP4	10.75 MB
10. Fill in Null Values with the .fillna() Method.srt	SRT	7.01 KB
10.1 Official pandas Documentation.html	HTML	143 B
11. The .astype() Method.mp4	MP4	23.86 MB
11. The .astype() Method.srt	SRT	15.45 KB
11.1 Official pandas Documentation.html	HTML	143 B
12. Sort a DataFrame with the .sort_values() Method, Part I.mp4	MP4	13.27 MB
12. Sort a DataFrame with the .sort_values() Method, Part I.srt	SRT	8.13 KB
12.1 Official pandas Documentation.html	HTML	148 B
13. Sort a DataFrame with the .sort_values() Method, Part II.mp4	MP4	8.84 MB
13. Sort a DataFrame with the .sort_values() Method, Part II.srt	SRT	6.23 KB
13.1 Official pandas Documentation.html	HTML	148 B
14. Sort DataFrame with the .sort_index() Method.mp4	MP4	6.56 MB
14. Sort DataFrame with the .sort_index() Method.srt	SRT	4.06 KB
14.1 Official pandas Documentation.html	HTML	147 B
15. Rank Values with the .rank() Method.mp4	MP4	13.17 MB
15. Rank Values with the .rank() Method.srt	SRT	8.5 KB
15.1 Official pandas Documentation.html	HTML	141 B
2. Shared Methods and Attributes between Series and DataFrames.mp4	MP4	15.62 MB
2. Shared Methods and Attributes between Series and DataFrames.srt	SRT	11.6 KB
3. Differences between Shared Methods.mp4	MP4	13.11 MB
3. Differences between Shared Methods.srt	SRT	9.77 KB
4. Select One Column from a DataFrame.mp4	MP4	14.87 MB
4. Select One Column from a DataFrame.srt	SRT	12 KB
5. Select Two or More Columns from a DataFrame.mp4	MP4	9.93 MB
5. Select Two or More Columns from a DataFrame.srt	SRT	8.31 KB
6. Add New Column to DataFrame.mp4	MP4	17.23 MB
6. Add New Column to DataFrame.srt	SRT	11.73 KB
7. Broadcasting Operations.mp4	MP4	18.23 MB
7. Broadcasting Operations.srt	SRT	13.51 KB
8. A Review of the .value_counts() Method.mp4	MP4	8.43 MB
8. A Review of the .value_counts() Method.srt	SRT	5.88 KB
9. Drop Rows with Null Values.mp4	MP4	19.2 MB
9. Drop Rows with Null Values.srt	SRT	9.43 KB

4. DataFrames II

1. This Module's Dataset + Memory Optimization.mp4	MP4	24.45 MB
1. This Module's Dataset + Memory Optimization.srt	SRT	17.38 KB
10. The .unique() and .nunique() Methods.mp4	MP4	8.19 MB
10. The .unique() and .nunique() Methods.srt	SRT	6.47 KB
2. Filter a DataFrame Based on A Condition.mp4	MP4	27.4 MB
2. Filter a DataFrame Based on A Condition.srt	SRT	18.61 KB
3. Filter with More than One Condition (AND - &).mp4	MP4	9.29 MB
3. Filter with More than One Condition (AND - &).srt	SRT	6.66 KB
4. Filter with More than One Condition (OR - ).mp4	MP4	16.75 MB
4. Filter with More than One Condition (OR - ).srt	SRT	12.12 KB
5. The .isin() Method.mp4	MP4	12.53 MB
5. The .isin() Method.srt	SRT	9.51 KB
6. The .isnull() and .notnull() Methods.mp4	MP4	12.26 MB
6. The .isnull() and .notnull() Methods.srt	SRT	8.08 KB
7. The .between() Method.mp4	MP4	16.76 MB
7. The .between() Method.srt	SRT	10.19 KB
8. The .duplicated() Method.mp4	MP4	19.56 MB
8. The .duplicated() Method.srt	SRT	13.71 KB
8.1 Official documentation for the DataFrame.duplicated method.html	HTML	152 B
9. The .drop_duplicates() Method.mp4	MP4	17.55 MB
9. The .drop_duplicates() Method.srt	SRT	12.44 KB
9.1 Official documentation for the DataFrame.drop_duplicates method.html	HTML	157 B

5. DataFrames III

1. Intro to the DataFrames III Module + Import Dataset.mp4	MP4	7.67 MB
1. Intro to the DataFrames III Module + Import Dataset.srt	SRT	5.28 KB
10. Delete Rows or Columns from a DataFrame.mp4	MP4	16.22 MB
10. Delete Rows or Columns from a DataFrame.srt	SRT	10.66 KB
11. Create Random Sample with the .sample() Method.mp4	MP4	9.33 MB
11. Create Random Sample with the .sample() Method.srt	SRT	6.91 KB
12. The .nsmallest() and .nlargest() Methods.mp4	MP4	12.07 MB
12. The .nsmallest() and .nlargest() Methods.srt	SRT	7.54 KB
13. Filtering with the .where() Method.mp4	MP4	13.56 MB
13. Filtering with the .where() Method.srt	SRT	7.26 KB
14. The .query() Method.mp4	MP4	19.93 MB
14. The .query() Method.srt	SRT	12.59 KB
15. A Review of the .apply() Method on Single Columns.mp4	MP4	11.75 MB
15. A Review of the .apply() Method on Single Columns.srt	SRT	7.99 KB
16. The .apply() Method with Row Values.mp4	MP4	13.41 MB
16. The .apply() Method with Row Values.srt	SRT	9.67 KB
17. The .copy() Method.mp4	MP4	15.44 MB
17. The .copy() Method.srt	SRT	9.82 KB
2. The .set_index() and .reset_index() Methods.mp4	MP4	13.19 MB
2. The .set_index() and .reset_index() Methods.srt	SRT	7.27 KB
2.1 set_index Documentation.html	HTML	147 B
2.2 reset_index Documentation.html	HTML	149 B
3. Retrieve Rows by Index Label with .loc[].mp4	MP4	25.87 MB
3. Retrieve Rows by Index Label with .loc[].srt	SRT	14.41 KB
3.1 loc[] Documentation.html	HTML	141 B
4. Retrieve Rows by Index Position with .iloc[].mp4	MP4	13.31 MB
4. Retrieve Rows by Index Position with .iloc[].srt	SRT	8.63 KB
5. The Catch-All .ix[] Method.mp4	MP4	18.56 MB
5. The Catch-All .ix[] Method.srt	SRT	13.5 KB
6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.mp4	MP4	12.36 MB
6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.srt	SRT	8.65 KB
7. Set New Values for a Specific Cell or Row.mp4	MP4	8.89 MB
7. Set New Values for a Specific Cell or Row.srt	SRT	5.9 KB
8. Set Multiple Values in DataFrame.mp4	MP4	20.54 MB
8. Set Multiple Values in DataFrame.srt	SRT	14.64 KB
9. Rename Index Labels or Columns in a DataFrame.mp4	MP4	13.39 MB
9. Rename Index Labels or Columns in a DataFrame.srt	SRT	9.67 KB

6. Working with Text Data

1. Intro to the Working with Text Data Module.mp4	MP4	13.86 MB
1. Intro to the Working with Text Data Module.srt	SRT	9.33 KB
2. Common String Methods - lower, upper, title, and len.mp4	MP4	14.88 MB
2. Common String Methods - lower, upper, title, and len.srt	SRT	10.51 KB
3. The .str.replace() Method.mp4	MP4	16 MB
3. The .str.replace() Method.srt	SRT	12.04 KB
4. Filtering with String Methods.mp4	MP4	15.54 MB
4. Filtering with String Methods.srt	SRT	9.85 KB
5. More String Methods - strip, lstrip, and rstrip.mp4	MP4	9.54 MB
5. More String Methods - strip, lstrip, and rstrip.srt	SRT	6.26 KB
6. String Methods on Index and Columns.mp4	MP4	11.12 MB
6. String Methods on Index and Columns.srt	SRT	7.57 KB
7. Split Strings by Characters with .str.split() Method.mp4	MP4	17.52 MB
7. Split Strings by Characters with .str.split() Method.srt	SRT	12.6 KB
8. More Practice with Splits.mp4	MP4	11.92 MB
8. More Practice with Splits.srt	SRT	8.48 KB
9. The expand and n Parameters of the .str.split() Method.mp4	MP4	15.3 MB
9. The expand and n Parameters of the .str.split() Method.srt	SRT	10.26 KB

7. MultiIndex

1. Intro to the MultiIndex Module.mp4	MP4	8.32 MB
1. Intro to the MultiIndex Module.srt	SRT	7 KB
10. The .unstack() Method, Part 1.mp4	MP4	8.49 MB
10. The .unstack() Method, Part 1.srt	SRT	5.75 KB
11. The .unstack() Method, Part 2.mp4	MP4	14.54 MB
11. The .unstack() Method, Part 2.srt	SRT	9.32 KB
12. The .unstack() Method, Part 3.mp4	MP4	11.96 MB
12. The .unstack() Method, Part 3.srt	SRT	7.89 KB
13. The .pivot() Method.mp4	MP4	12.11 MB
13. The .pivot() Method.srt	SRT	10.92 KB
14. The .pivot_table() Method.mp4	MP4	22.16 MB
14. The .pivot_table() Method.srt	SRT	16.49 KB
15. The pd.melt() Method.mp4	MP4	17.26 MB
15. The pd.melt() Method.srt	SRT	9.07 KB
2. Create a MultiIndex with the set_index() Method.mp4	MP4	21.05 MB
2. Create a MultiIndex with the set_index() Method.srt	SRT	12.99 KB
3. The .get_level_values() Method.mp4	MP4	16.54 MB
3. The .get_level_values() Method.srt	SRT	12.76 KB
4. The .set_names() Method.mp4	MP4	6.09 MB
4. The .set_names() Method.srt	SRT	4.78 KB
5. The sort_index() Method.mp4	MP4	10.25 MB
5. The sort_index() Method.srt	SRT	8 KB
6. Extract Rows from a MultiIndex DataFrame.mp4	MP4	17.34 MB
6. Extract Rows from a MultiIndex DataFrame.srt	SRT	11.72 KB
7. The .transpose() Method and MultiIndex on Column Level.mp4	MP4	11.92 MB
7. The .transpose() Method and MultiIndex on Column Level.srt	SRT	7.99 KB
8. The .swaplevel() Method.mp4	MP4	5.18 MB
8. The .swaplevel() Method.srt	SRT	3.46 KB
9. The .stack() Method.mp4	MP4	13.2 MB
9. The .stack() Method.srt	SRT	9.57 KB

8. GroupBy

1. Intro to the Groupby Module.mp4	MP4	14.29 MB
1. Intro to the Groupby Module.srt	SRT	12.19 KB
2. First Operations with groupby Object.mp4	MP4	23.08 MB
2. First Operations with groupby Object.srt	SRT	13.97 KB
3. Retrieve A Group with the .get_group() Method.mp4	MP4	10.14 MB
3. Retrieve A Group with the .get_group() Method.srt	SRT	5.42 KB
4. Methods on the Groupby Object and DataFrame Columns.mp4	MP4	20.49 MB
4. Methods on the Groupby Object and DataFrame Columns.srt	SRT	12.73 KB
5. Grouping by Multiple Columns.mp4	MP4	10.34 MB
5. Grouping by Multiple Columns.srt	SRT	6.71 KB
6. The .agg() Method.mp4	MP4	13.18 MB
6. The .agg() Method.srt	SRT	8.91 KB
7. Iterating through Groups.mp4	MP4	21.37 MB
7. Iterating through Groups.srt	SRT	12.74 KB

9. Merging, Joining, and Concatenating

1. Intro to the Merging, Joining, and Concatenating Module.mp4	MP4	11.46 MB
1. Intro to the Merging, Joining, and Concatenating Module.srt	SRT	8.9 KB
10. Merging by Indexes with the left_index and right_index Parameters.mp4	MP4	22.7 MB
10. Merging by Indexes with the left_index and right_index Parameters.srt	SRT	15.4 KB
11. The .join() Method.mp4	MP4	6.28 MB
11. The .join() Method.srt	SRT	4.53 KB
12. The pd.merge() Method.mp4	MP4	6.84 MB
12. The pd.merge() Method.srt	SRT	4.7 KB
2. The pd.concat() Method, Part 1.mp4	MP4	12.56 MB
2. The pd.concat() Method, Part 1.srt	SRT	8.64 KB
3. The pd.concat() Method, Part 2.mp4	MP4	13.2 MB
3. The pd.concat() Method, Part 2.srt	SRT	9.77 KB
4. The .append() Method on a DataFrame.mp4	MP4	5.13 MB
4. The .append() Method on a DataFrame.srt	SRT	3.23 KB
5. Inner Joins, Part 1.mp4	MP4	17.92 MB
5. Inner Joins, Part 1.srt	SRT	14.55 KB
6. Inner Joins, Part 2.mp4	MP4	17.75 MB
6. Inner Joins, Part 2.srt	SRT	13.33 KB
7. Outer Joins.mp4	MP4	25.94 MB
7. Outer Joins.srt	SRT	17.75 KB
8. Left Joins.mp4	MP4	20.99 MB
8. Left Joins.srt	SRT	13.47 KB
9. The left_on and right_on Parameters.mp4	MP4	20.24 MB
9. The left_on and right_on Parameters.srt	SRT	13.29 KB

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Udemy - Data Analysis with Pandas and Python [Desire Course]

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