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Udemy - Data Analysis With Pandas And Python [TP]

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1. Installation and Setup

1. Introduction to the Course.mp4	MP4	34 MB
1. Introduction to the Course.vtt	VTT	17.2 KB
1.1 pandas.zip.zip	ZIP	684.75 KB
10. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4	MP4	19.06 MB
10. Windows - Access the Command Prompt and Update Anaconda Libraries.vtt	VTT	15.85 KB
11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4	MP4	15.47 MB
11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.vtt	VTT	13.27 KB
12. Intro to the Jupyter Notebook Interface.mp4	MP4	9.32 MB
12. Intro to the Jupyter Notebook Interface.vtt	VTT	7.49 KB
13. Cell Types and Cell Modes.mp4	MP4	11.68 MB
13. Cell Types and Cell Modes.vtt	VTT	10.2 KB
14. Code Cell Execution.mp4	MP4	8.23 MB
14. Code Cell Execution.vtt	VTT	6.85 KB
15. Popular Keyboard Shortcuts.mp4	MP4	6.27 MB
15. Popular Keyboard Shortcuts.vtt	VTT	4.53 KB
16. Import Libraries into Jupyter Notebook.mp4	MP4	11.53 MB
16. Import Libraries into Jupyter Notebook.vtt	VTT	10.76 KB
17. Python Crash Course, Part 1 - Data Types and Variables.mp4	MP4	11.99 MB
17. Python Crash Course, Part 1 - Data Types and Variables.vtt	VTT	9.96 KB
18. Python Crash Course, Part 2 - Lists.mp4	MP4	9.01 MB
18. Python Crash Course, Part 2 - Lists.vtt	VTT	6.78 KB
19. Python Crash Course, Part 3 - Dictionaries.mp4	MP4	7.21 MB
19. Python Crash Course, Part 3 - Dictionaries.vtt	VTT	5.58 KB
2. Completed Course Files.html	HTML	782 B
2.1 CompletedCourseFiles.zip.zip	ZIP	363.34 KB
20. Python Crash Course, Part 4 - Operators.mp4	MP4	7.88 MB
20. Python Crash Course, Part 4 - Operators.vtt	VTT	6.08 KB
21. Python Crash Course, Part 5 - Functions.mp4	MP4	10.12 MB
21. Python Crash Course, Part 5 - Functions.vtt	VTT	8.5 KB
3. Mac OS - Download the Anaconda Distribution.mp4	MP4	7.93 MB
3. Mac OS - Download the Anaconda Distribution.vtt	VTT	4.55 KB
4. Mac OS - Install Anaconda Distribution.mp4	MP4	18.06 MB
4. Mac OS - Install Anaconda Distribution.vtt	VTT	7.76 KB
5. Mac OS - Access the Terminal.mp4	MP4	6.36 MB
5. Mac OS - Access the Terminal.vtt	VTT	2.54 KB
6. Mac OS - Update Anaconda Libraries.mp4	MP4	35.27 MB
6. Mac OS - Update Anaconda Libraries.vtt	VTT	15.52 KB
7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4	MP4	22.15 MB
7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.vtt	VTT	15.74 KB
8. Windows - Download the Anaconda Distribution.mp4	MP4	7.65 MB
8. Windows - Download the Anaconda Distribution.vtt	VTT	5.46 KB
9. Windows - Install Anaconda Distribution.mp4	MP4	15.2 MB
9. Windows - Install Anaconda Distribution.vtt	VTT	5.5 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.vtt	VTT	5.49 KB
10. Install pandas-datareader Library.mp4	MP4	5.9 MB
10. Install pandas-datareader Library.vtt	VTT	3.15 KB
11. Import Financial Data Set with pandas_datareader Library.mp4	MP4	25.48 MB
11. Import Financial Data Set with pandas_datareader Library.vtt	VTT	14.27 KB
12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4	MP4	18.34 MB
12. Selecting Rows from a DataFrame with a DateTimeIndex.vtt	VTT	9.86 KB
13. Timestamp Object Attributes.mp4	MP4	19.58 MB
13. Timestamp Object Attributes.vtt	VTT	9.42 KB
14. The .truncate() Method.mp4	MP4	9.05 MB
14. The .truncate() Method.vtt	VTT	3.7 KB
15. pd.DateOffset Objects.mp4	MP4	25.58 MB
15. pd.DateOffset Objects.vtt	VTT	16.05 KB
16. More Fun with pd.DateOffset Objects.mp4	MP4	31.91 MB
16. More Fun with pd.DateOffset Objects.vtt	VTT	18.54 KB
17. The pandas Timedelta Object.mp4	MP4	15.41 MB
17. The pandas Timedelta Object.vtt	VTT	10.69 KB
18. Timedeltas in a Dataset.mp4	MP4	19.55 MB
18. Timedeltas in a Dataset.vtt	VTT	12.7 KB
2. Review of Python's datetime Module.mp4	MP4	16.73 MB
2. Review of Python's datetime Module.vtt	VTT	11.63 KB
3. The pandas Timestamp Object.mp4	MP4	12.8 MB
3. The pandas Timestamp Object.vtt	VTT	8.92 KB
4. The pandas DateTimeIndex Object.mp4	MP4	9.66 MB
4. The pandas DateTimeIndex Object.vtt	VTT	6.37 KB
5. The pd.to_datetime() Method.mp4	MP4	22.88 MB
5. The pd.to_datetime() Method.vtt	VTT	14.03 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.vtt	VTT	14.81 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.vtt	VTT	11.15 KB
8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4	MP4	16.33 MB
8. Create Range of Dates with the pd.date_range() Method, Part 3.vtt	VTT	9.35 KB
9. The .dt Accessor.mp4	MP4	13.68 MB
9. The .dt Accessor.vtt	VTT	9.37 KB

11. Panels

1. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4	MP4	13.67 MB
1. Intro to the Module + Fetch Panel Dataset from Google Finance.vtt	VTT	10.54 KB
10. The .swapaxes() Method.mp4	MP4	9.72 MB
10. The .swapaxes() Method.vtt	VTT	5.57 KB
11. A Review of the Panels Module.html	HTML	135 B
2. The Axes of a Panel Object.mp4	MP4	16.31 MB
2. The Axes of a Panel Object.vtt	VTT	10.71 KB
3. Panel Attributes.mp4	MP4	10.5 MB
3. Panel Attributes.vtt	VTT	6.68 KB
4. Use Bracket Notation to Extract a DataFrame from a Panel.mp4	MP4	8.26 MB
4. Use Bracket Notation to Extract a DataFrame from a Panel.vtt	VTT	5.59 KB
5. Extracting with the .loc, .iloc, and .ix Methods.mp4	MP4	13.53 MB
5. Extracting with the .loc, .iloc, and .ix Methods.vtt	VTT	8.95 KB
6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4	MP4	8.68 MB
6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).vtt	VTT	5.36 KB
7. The .major_xs() Method.mp4	MP4	12.12 MB
7. The .major_xs() Method.vtt	VTT	7.47 KB
8. The .minor_xs() Method.mp4	MP4	13.63 MB
8. The .minor_xs() Method.vtt	VTT	8.43 KB
9. Transpose a Panel with the .transpose() Method.mp4	MP4	15.73 MB
9. Transpose a Panel with the .transpose() Method.vtt	VTT	10.43 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.vtt	VTT	2.27 KB
2. Feed pd.read_csv() Method a URL Argument.mp4	MP4	7.61 MB
2. Feed pd.read_csv() Method a URL Argument.vtt	VTT	5.37 KB
3. Quick Object Conversions.mp4	MP4	11.35 MB
3. Quick Object Conversions.vtt	VTT	6.83 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.vtt	VTT	8.24 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.vtt	VTT	3.18 KB
6. Import Excel File into pandas.mp4	MP4	19.14 MB
6. Import Excel File into pandas.vtt	VTT	12.9 KB
7. Export Excel File.mp4	MP4	17.81 MB
7. Export Excel File.vtt	VTT	12.77 KB
8. Input and Output.html	HTML	135 B

13. Visualization

1. Intro to Visualization Module.mp4	MP4	7.32 MB
1. Intro to Visualization Module.vtt	VTT	6.21 KB
2. The .plot() Method.mp4	MP4	18.98 MB
2. The .plot() Method.vtt	VTT	13.06 KB
3. Modifying Aesthetics with Templates.mp4	MP4	12.08 MB
3. Modifying Aesthetics with Templates.vtt	VTT	7.42 KB
4. Bar Graphs.mp4	MP4	12.27 MB
4. Bar Graphs.vtt	VTT	9.14 KB
5. Pie Charts.mp4	MP4	9.87 MB
5. Pie Charts.vtt	VTT	7.17 KB
6. Histograms.mp4	MP4	12.16 MB
6. Histograms.vtt	VTT	8.42 KB
7. Visualization.html	HTML	135 B

14. Options and Settings

1. Introduction to the Options and Settings Module.mp4	MP4	3.33 MB
1. Introduction to the Options and Settings Module.vtt	VTT	2.4 KB
2. Changing pandas Options with Attributes and Dot Syntax.mp4	MP4	19.83 MB
2. Changing pandas Options with Attributes and Dot Syntax.vtt	VTT	10.34 KB
3. Changing pandas Options with Methods.mp4	MP4	13.92 MB
3. Changing pandas Options with Methods.vtt	VTT	8.78 KB
4. The precision Option.mp4	MP4	6.11 MB
4. The precision Option.vtt	VTT	4.41 KB

15. Conclusion

	1. Conclusion.mp4	MP4	2.96 MB
	1. Conclusion.vtt	VTT	2.47 KB

2. Series

1. Create Jupyter Notebook for the Series Module.mp4	MP4	3.8 MB
1. Create Jupyter Notebook for the Series Module.vtt	VTT	2.91 KB
10. More Series Attributes.mp4	MP4	11.66 MB
10. More Series Attributes.vtt	VTT	7.84 KB
11. The .sort_values() Method.mp4	MP4	10.83 MB
11. The .sort_values() Method.vtt	VTT	8.07 KB
11.1 Official pandas Documentation.html	HTML	145 B
12. The inplace Parameter.mp4	MP4	9.4 MB
12. The inplace Parameter.vtt	VTT	7.15 KB
13. The .sort_index() Method.mp4	MP4	8.58 MB
13. The .sort_index() Method.vtt	VTT	6.05 KB
13.1 Official pandas Documentation.html	HTML	144 B
14. Python's in Keyword.mp4	MP4	7.31 MB
14. Python's in Keyword.vtt	VTT	4.99 KB
15. Extract Series Values by Index Position.mp4	MP4	8.9 MB
15. Extract Series Values by Index Position.vtt	VTT	5.28 KB
16. Extract Series Values by Index Label.mp4	MP4	13.74 MB
16. Extract Series Values by Index Label.vtt	VTT	9.46 KB
17. The .get() Method on a Series.mp4	MP4	9.57 MB
17. The .get() Method on a Series.vtt	VTT	6.25 KB
18. Math Methods on Series Objects.mp4	MP4	10.16 MB
18. Math Methods on Series Objects.vtt	VTT	6.92 KB
19. The .idxmax() and .idxmin() Methods.mp4	MP4	5.75 MB
19. The .idxmax() and .idxmin() Methods.vtt	VTT	3.9 KB
2. Create A Series Object from a Python List.mp4	MP4	18.12 MB
2. Create A Series Object from a Python List.vtt	VTT	14.48 KB
20. The .value_counts() Method.mp4	MP4	6.73 MB
20. The .value_counts() Method.vtt	VTT	4.59 KB
20.1 Official Documentation for the Series.value_counts Method.html	HTML	147 B
21. The .apply() Method.mp4	MP4	12.31 MB
21. The .apply() Method.vtt	VTT	8.6 KB
22. The .map() Method.mp4	MP4	13.1 MB
22. The .map() Method.vtt	VTT	8.34 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.vtt	VTT	3.82 KB
4. Intro to Attributes.mp4	MP4	12.86 MB
4. Intro to Attributes.vtt	VTT	9.81 KB
5. Intro to Methods.mp4	MP4	7.92 MB
5. Intro to Methods.vtt	VTT	6.45 KB
6. Parameters and Arguments.mp4	MP4	18.28 MB
6. Parameters and Arguments.vtt	VTT	12.88 KB
7. Import Series with the .read_csv() Method.mp4	MP4	21.14 MB
7. Import Series with the .read_csv() Method.vtt	VTT	14.27 KB
8. The .head() and .tail() Methods.mp4	MP4	6.48 MB
8. The .head() and .tail() Methods.vtt	VTT	4.71 KB
8.1 Official pandas Documentation.html	HTML	138 B
9. Python Built-In Functions.mp4	MP4	9.87 MB
9. Python Built-In Functions.vtt	VTT	6.57 KB

3. DataFrames I

1. Intro to DataFrames I Module.mp4	MP4	17.63 MB
1. Intro to DataFrames I Module.vtt	VTT	10.49 KB
10. Fill in Null Values with the .fillna() Method.mp4	MP4	10.75 MB
10. Fill in Null Values with the .fillna() Method.vtt	VTT	6.19 KB
10.1 Official pandas Documentation.html	HTML	143 B
11. The .astype() Method.mp4	MP4	23.87 MB
11. The .astype() Method.vtt	VTT	13.54 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.vtt	VTT	7.19 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.vtt	VTT	5.5 KB
13.1 Official pandas Documentation.html	HTML	148 B
14. Sort DataFrame with the .sort_index() Method.mp4	MP4	6.57 MB
14. Sort DataFrame with the .sort_index() Method.vtt	VTT	3.59 KB
14.1 Official pandas Documentation.html	HTML	147 B
15. Rank Values with the .rank() Method.mp4	MP4	13.16 MB
15. Rank Values with the .rank() Method.vtt	VTT	7.53 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.vtt	VTT	10.27 KB
3. Differences between Shared Methods.mp4	MP4	13.1 MB
3. Differences between Shared Methods.vtt	VTT	8.66 KB
4. Select One Column from a DataFrame.mp4	MP4	14.87 MB
4. Select One Column from a DataFrame.vtt	VTT	10.6 KB
5. Select Two or More Columns from a DataFrame.mp4	MP4	9.94 MB
5. Select Two or More Columns from a DataFrame.vtt	VTT	7.3 KB
6. Add New Column to DataFrame.mp4	MP4	17.24 MB
6. Add New Column to DataFrame.vtt	VTT	10.29 KB
7. Broadcasting Operations.mp4	MP4	18.23 MB
7. Broadcasting Operations.vtt	VTT	11.92 KB
8. A Review of the .value_counts() Method.mp4	MP4	8.43 MB
8. A Review of the .value_counts() Method.vtt	VTT	5.17 KB
9. Drop Rows with Null Values.mp4	MP4	19.21 MB
9. Drop Rows with Null Values.vtt	VTT	8.34 KB

4. DataFrames II

1. This Module's Dataset + Memory Optimization.mp4	MP4	24.44 MB
1. This Module's Dataset + Memory Optimization.vtt	VTT	15.34 KB
10. The .unique() and .nunique() Methods.mp4	MP4	8.2 MB
10. The .unique() and .nunique() Methods.vtt	VTT	5.74 KB
2. Filter a DataFrame Based on A Condition.mp4	MP4	27.4 MB
2. Filter a DataFrame Based on A Condition.vtt	VTT	16.29 KB
3. Filter with More than One Condition (AND - &).mp4	MP4	9.3 MB
3. Filter with More than One Condition (AND - &).vtt	VTT	5.89 KB
4. Filter with More than One Condition (OR - ).mp4	MP4	16.75 MB
4. Filter with More than One Condition (OR - ).vtt	VTT	10.64 KB
5. The .isin() Method.mp4	MP4	12.54 MB
5. The .isin() Method.vtt	VTT	8.37 KB
6. The .isnull() and .notnull() Methods.mp4	MP4	12.26 MB
6. The .isnull() and .notnull() Methods.vtt	VTT	7.09 KB
7. The .between() Method.mp4	MP4	16.76 MB
7. The .between() Method.vtt	VTT	9.01 KB
8. The .duplicated() Method.mp4	MP4	19.56 MB
8. The .duplicated() Method.vtt	VTT	12.01 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.vtt	VTT	10.93 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.vtt	VTT	4.66 KB
10. Delete Rows or Columns from a DataFrame.mp4	MP4	16.21 MB
10. Delete Rows or Columns from a DataFrame.vtt	VTT	9.39 KB
11. Create Random Sample with the .sample() Method.mp4	MP4	9.34 MB
11. Create Random Sample with the .sample() Method.vtt	VTT	6.1 KB
12. The .nsmallest() and .nlargest() Methods.mp4	MP4	12.08 MB
12. The .nsmallest() and .nlargest() Methods.vtt	VTT	6.67 KB
13. Filtering with the .where() Method.mp4	MP4	13.56 MB
13. Filtering with the .where() Method.vtt	VTT	6.4 KB
14. The .query() Method.mp4	MP4	19.92 MB
14. The .query() Method.vtt	VTT	11.13 KB
15. A Review of the .apply() Method on Single Columns.mp4	MP4	11.76 MB
15. A Review of the .apply() Method on Single Columns.vtt	VTT	7.1 KB
16. The .apply() Method with Row Values.mp4	MP4	13.41 MB
16. The .apply() Method with Row Values.vtt	VTT	8.56 KB
17. The .copy() Method.mp4	MP4	15.45 MB
17. The .copy() Method.vtt	VTT	8.64 KB
2. The .set_index() and .reset_index() Methods.mp4	MP4	13.19 MB
2. The .set_index() and .reset_index() Methods.vtt	VTT	6.43 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[].vtt	VTT	12.68 KB
3.1 loc[] Documentation.html	HTML	141 B
4. Retrieve Rows by Index Position with .iloc[].mp4	MP4	13.3 MB
4. Retrieve Rows by Index Position with .iloc[].vtt	VTT	7.63 KB
5. The Catch-All .ix[] Method.mp4	MP4	18.56 MB
5. The Catch-All .ix[] Method.vtt	VTT	11.88 KB
6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.mp4	MP4	12.37 MB
6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.vtt	VTT	7.69 KB
7. Set New Values for a Specific Cell or Row.mp4	MP4	8.9 MB
7. Set New Values for a Specific Cell or Row.vtt	VTT	5.21 KB
8. Set Multiple Values in DataFrame.mp4	MP4	20.55 MB
8. Set Multiple Values in DataFrame.vtt	VTT	12.8 KB
9. Rename Index Labels or Columns in a DataFrame.mp4	MP4	13.4 MB
9. Rename Index Labels or Columns in a DataFrame.vtt	VTT	8.5 KB

6. Working with Text Data

1. Intro to the Working with Text Data Module.mp4	MP4	13.87 MB
1. Intro to the Working with Text Data Module.vtt	VTT	8.23 KB
2. Common String Methods - lower, upper, title, and len.mp4	MP4	14.88 MB
2. Common String Methods - lower, upper, title, and len.vtt	VTT	9.21 KB
3. The .str.replace() Method.mp4	MP4	16 MB
3. The .str.replace() Method.vtt	VTT	10.52 KB
4. Filtering with String Methods.mp4	MP4	15.54 MB
4. Filtering with String Methods.vtt	VTT	8.7 KB
5. More String Methods - strip, lstrip, and rstrip.mp4	MP4	9.54 MB
5. More String Methods - strip, lstrip, and rstrip.vtt	VTT	5.54 KB
6. String Methods on Index and Columns.mp4	MP4	11.12 MB
6. String Methods on Index and Columns.vtt	VTT	6.75 KB
7. Split Strings by Characters with .str.split() Method.mp4	MP4	17.52 MB
7. Split Strings by Characters with .str.split() Method.vtt	VTT	11.04 KB
8. More Practice with Splits.mp4	MP4	11.92 MB
8. More Practice with Splits.vtt	VTT	7.51 KB
9. The expand and n Parameters of the .str.split() Method.mp4	MP4	15.31 MB
9. The expand and n Parameters of the .str.split() Method.vtt	VTT	9.04 KB

7. MultiIndex

1. Intro to the MultiIndex Module.mp4	MP4	8.32 MB
1. Intro to the MultiIndex Module.vtt	VTT	6.2 KB
10. The .unstack() Method, Part 1.mp4	MP4	8.49 MB
10. The .unstack() Method, Part 1.vtt	VTT	5.11 KB
11. The .unstack() Method, Part 2.mp4	MP4	14.54 MB
11. The .unstack() Method, Part 2.vtt	VTT	8.25 KB
12. The .unstack() Method, Part 3.mp4	MP4	11.96 MB
12. The .unstack() Method, Part 3.vtt	VTT	7.03 KB
13. The .pivot() Method.mp4	MP4	12.12 MB
13. The .pivot() Method.vtt	VTT	9.67 KB
14. The .pivot_table() Method.mp4	MP4	22.16 MB
14. The .pivot_table() Method.vtt	VTT	14.5 KB
15. The pd.melt() Method.mp4	MP4	17.27 MB
15. The pd.melt() Method.vtt	VTT	8.02 KB
2. Create a MultiIndex with the set_index() Method.mp4	MP4	21.06 MB
2. Create a MultiIndex with the set_index() Method.vtt	VTT	11.48 KB
3. The .get_level_values() Method.mp4	MP4	16.54 MB
3. The .get_level_values() Method.vtt	VTT	11.3 KB
4. The .set_names() Method.mp4	MP4	6.1 MB
4. The .set_names() Method.vtt	VTT	4.24 KB
5. The sort_index() Method.mp4	MP4	10.25 MB
5. The sort_index() Method.vtt	VTT	7.11 KB
6. Extract Rows from a MultiIndex DataFrame.mp4	MP4	17.34 MB
6. Extract Rows from a MultiIndex DataFrame.vtt	VTT	10.35 KB
7. The .transpose() Method and MultiIndex on Column Level.mp4	MP4	11.92 MB
7. The .transpose() Method and MultiIndex on Column Level.vtt	VTT	7.07 KB
8. The .swaplevel() Method.mp4	MP4	5.19 MB
8. The .swaplevel() Method.vtt	VTT	3.08 KB
9. The .stack() Method.mp4	MP4	13.2 MB
9. The .stack() Method.vtt	VTT	8.47 KB

8. GroupBy

1. Intro to the Groupby Module.mp4	MP4	14.3 MB
1. Intro to the Groupby Module.vtt	VTT	10.81 KB
2. First Operations with groupby Object.mp4	MP4	23.08 MB
2. First Operations with groupby Object.vtt	VTT	12.31 KB
3. Retrieve A Group with the .get_group() Method.mp4	MP4	10.14 MB
3. Retrieve A Group with the .get_group() Method.vtt	VTT	4.79 KB
4. Methods on the Groupby Object and DataFrame Columns.mp4	MP4	20.5 MB
4. Methods on the Groupby Object and DataFrame Columns.vtt	VTT	11.27 KB
5. Grouping by Multiple Columns.mp4	MP4	10.34 MB
5. Grouping by Multiple Columns.vtt	VTT	5.94 KB
6. The .agg() Method.mp4	MP4	13.18 MB
6. The .agg() Method.vtt	VTT	7.87 KB
7. Iterating through Groups.mp4	MP4	21.37 MB
7. Iterating through Groups.vtt	VTT	11.27 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.vtt	VTT	7.89 KB
10. Merging by Indexes with the left_index and right_index Parameters.mp4	MP4	22.71 MB
10. Merging by Indexes with the left_index and right_index Parameters.vtt	VTT	13.51 KB
11. The .join() Method.mp4	MP4	6.28 MB
11. The .join() Method.vtt	VTT	4.04 KB
12. The pd.merge() Method.mp4	MP4	6.85 MB
12. The pd.merge() Method.vtt	VTT	4.16 KB
2. The pd.concat() Method, Part 1.mp4	MP4	12.56 MB
2. The pd.concat() Method, Part 1.vtt	VTT	7.64 KB
3. The pd.concat() Method, Part 2.mp4	MP4	13.2 MB
3. The pd.concat() Method, Part 2.vtt	VTT	8.66 KB
4. The .append() Method on a DataFrame.mp4	MP4	5.13 MB
4. The .append() Method on a DataFrame.vtt	VTT	2.87 KB
5. Inner Joins, Part 1.mp4	MP4	17.92 MB
5. Inner Joins, Part 1.vtt	VTT	12.84 KB
6. Inner Joins, Part 2.mp4	MP4	17.76 MB
6. Inner Joins, Part 2.vtt	VTT	11.73 KB
7. Outer Joins.mp4	MP4	25.94 MB
7. Outer Joins.vtt	VTT	15.63 KB
8. Left Joins.mp4	MP4	21 MB
8. Left Joins.vtt	VTT	11.92 KB
9. The left_on and right_on Parameters.mp4	MP4	20.25 MB
9. The left_on and right_on Parameters.vtt	VTT	11.68 KB

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Udemy - Data Analysis With Pandas And Python [TP]

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