Data Analysis with Pandas and Python | EDD21EC1288858476527906964CAFACF79C39B23

Data Analysis with Pandas and Python

Name	Data Analysis with Pandas and Python	DOWNLOAD Copy Link
Total Size	2.5 GB
Total Files	378
Hash	EDD21EC1288858476527906964CAFACF79C39B23

/.../1. Installation and Setup/
6. Mac OS - Update Anaconda Libraries.mp4	37.0 MB
1. Introduction to the Course.mp4	35.7 MB
1. Introduction to the Course.vtt	17.6 KB
1.1 pandas.zip.zip	701.2 KB
2. Completed Course Files.html	0.8 KB
2.1 CompletedCourseFiles.zip.zip	372.1 KB
3. Mac OS - Download the Anaconda Distribution.mp4	8.3 MB
3. Mac OS - Download the Anaconda Distribution.vtt	4.7 KB
4. Mac OS - Install Anaconda Distribution.mp4	23.9 MB
4. Mac OS - Install Anaconda Distribution.vtt	7.9 KB
5. Mac OS - Access the Terminal.mp4	9.3 MB
5. Mac OS - Access the Terminal.vtt	2.6 KB
6. Mac OS - Update Anaconda Libraries.vtt	15.9 KB
7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4	23.2 MB
7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.vtt	16.1 KB
8. Windows - Download the Anaconda Distribution.mp4	9.7 MB
8. Windows - Download the Anaconda Distribution.vtt	5.6 KB
9. Windows - Install Anaconda Distribution.mp4	19.5 MB
9. Windows - Install Anaconda Distribution.vtt	5.6 KB
10. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4	23.6 MB
10. Windows - Access the Command Prompt and Update Anaconda Libraries.vtt	16.2 KB
11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4	18.6 MB
11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.vtt	13.6 KB
12. Intro to the Jupyter Notebook Interface.mp4	9.8 MB
12. Intro to the Jupyter Notebook Interface.vtt	7.7 KB
13. Cell Types and Cell Modes.mp4	12.3 MB
13. Cell Types and Cell Modes.vtt	10.4 KB
14. Code Cell Execution.mp4	8.6 MB
14. Code Cell Execution.vtt	7.0 KB
15. Popular Keyboard Shortcuts.mp4	6.6 MB
15. Popular Keyboard Shortcuts.vtt	4.6 KB
16. Import Libraries into Jupyter Notebook.mp4	12.1 MB
16. Import Libraries into Jupyter Notebook.vtt	11.0 KB
17. Python Crash Course, Part 1 - Data Types and Variables.mp4	12.6 MB
17. Python Crash Course, Part 1 - Data Types and Variables.vtt	10.2 KB
18. Python Crash Course, Part 2 - Lists.mp4	9.5 MB
18. Python Crash Course, Part 2 - Lists.vtt	6.9 KB
19. Python Crash Course, Part 3 - Dictionaries.mp4	7.6 MB
19. Python Crash Course, Part 3 - Dictionaries.vtt	5.7 KB
20. Python Crash Course, Part 4 - Operators.mp4	8.3 MB
20. Python Crash Course, Part 4 - Operators.vtt	6.2 KB
21. Python Crash Course, Part 5 - Functions.mp4	10.6 MB
21. Python Crash Course, Part 5 - Functions.vtt	8.7 KB
Must Read.txt	0.5 KB
Visit Coursedrive.org.url	0.1 KB
/
Visit Coursedrive.org.url	0.1 KB
Course Downloaded from coursedrive.org.txt	0.5 KB
/Data Analysis with Pandas and Python/
ReadMe.txt	0.5 KB
Visit Coursedrive.org.url	0.1 KB
/2. Series/
1. Create Jupyter Notebook for the Series Module.mp4	4.0 MB
1. Create Jupyter Notebook for the Series Module.vtt	3.0 KB
2. Create A Series Object from a Python List.mp4	19.0 MB
2. Create A Series Object from a Python List.vtt	14.8 KB
3. Create A Series Object from a Python Dictionary.mp4	5.5 MB
3. Create A Series Object from a Python Dictionary.vtt	3.9 KB
4. Intro to Attributes.mp4	13.5 MB
4. Intro to Attributes.vtt	10.0 KB
5. Intro to Methods.mp4	8.3 MB
5. Intro to Methods.vtt	6.6 KB
6. Parameters and Arguments.mp4	19.2 MB
6. Parameters and Arguments.vtt	13.2 KB
7. Import Series with the .read_csv() Method.mp4	22.2 MB
7. Import Series with the .read_csv() Method.vtt	14.6 KB
8. The .head() and .tail() Methods.mp4	6.8 MB
8. The .head() and .tail() Methods.vtt	4.8 KB
8.1 Official pandas Documentation.html	0.1 KB
9. Python Built-In Functions.mp4	10.3 MB
9. Python Built-In Functions.vtt	6.7 KB
10. More Series Attributes.mp4	12.2 MB
10. More Series Attributes.vtt	8.0 KB
11. The .sort_values() Method.mp4	11.4 MB
11. The .sort_values() Method.vtt	8.3 KB
11.1 Official pandas Documentation.html	0.1 KB
12. The inplace Parameter.mp4	9.9 MB
12. The inplace Parameter.vtt	7.3 KB
13. The .sort_index() Method.mp4	9.0 MB
13. The .sort_index() Method.vtt	6.2 KB
13.1 Official pandas Documentation.html	0.1 KB
14. Python's in Keyword.mp4	7.7 MB
14. Python's in Keyword.vtt	5.1 KB
15. Extract Series Values by Index Position.mp4	9.3 MB
15. Extract Series Values by Index Position.vtt	5.4 KB
16. Extract Series Values by Index Label.mp4	14.4 MB
16. Extract Series Values by Index Label.vtt	9.7 KB
17. The .get() Method on a Series.mp4	10.0 MB
17. The .get() Method on a Series.vtt	6.4 KB
18. Math Methods on Series Objects.mp4	10.7 MB
18. Math Methods on Series Objects.vtt	7.1 KB
19. The .idxmax() and .idxmin() Methods.mp4	6.0 MB
19. The .idxmax() and .idxmin() Methods.vtt	4.0 KB
20. The .value_counts() Method.mp4	7.1 MB
20. The .value_counts() Method.vtt	4.7 KB
20.1 Official Documentation for the Series.value_counts Method.html	0.1 KB
21. The .apply() Method.mp4	12.9 MB
21. The .apply() Method.vtt	8.8 KB
22. The .map() Method.mp4	13.7 MB
22. The .map() Method.vtt	8.5 KB
23. A Review of the Series Module.html	0.1 KB
/3. DataFrames I/
1. Intro to DataFrames I Module.mp4	18.5 MB
1. Intro to DataFrames I Module.vtt	10.7 KB
2. Shared Methods and Attributes between Series and DataFrames.mp4	16.4 MB
2. Shared Methods and Attributes between Series and DataFrames.vtt	10.5 KB
3. Differences between Shared Methods.mp4	13.7 MB
3. Differences between Shared Methods.vtt	8.9 KB
4. Select One Column from a DataFrame.mp4	15.6 MB
4. Select One Column from a DataFrame.vtt	10.9 KB
5. Select Two or More Columns from a DataFrame.mp4	10.4 MB
5. Select Two or More Columns from a DataFrame.vtt	7.5 KB
6. Add New Column to DataFrame.mp4	18.1 MB
6. Add New Column to DataFrame.vtt	10.5 KB
7. Broadcasting Operations.mp4	19.1 MB
7. Broadcasting Operations.vtt	12.2 KB
8. A Review of the .value_counts() Method.mp4	8.8 MB
8. A Review of the .value_counts() Method.vtt	5.3 KB
9. Drop Rows with Null Values.mp4	20.1 MB
9. Drop Rows with Null Values.vtt	8.5 KB
10. Fill in Null Values with the .fillna() Method.mp4	11.3 MB
10. Fill in Null Values with the .fillna() Method.vtt	6.3 KB
10.1 Official pandas Documentation.html	0.1 KB
11. The .astype() Method.mp4	25.0 MB
11. The .astype() Method.vtt	13.9 KB
11.1 Official pandas Documentation.html	0.1 KB
12. Sort a DataFrame with the .sort_values() Method, Part I.mp4	13.9 MB
12. Sort a DataFrame with the .sort_values() Method, Part I.vtt	7.4 KB
12.1 Official pandas Documentation.html	0.1 KB
13. Sort a DataFrame with the .sort_values() Method, Part II.mp4	9.3 MB
13. Sort a DataFrame with the .sort_values() Method, Part II.vtt	5.6 KB
13.1 Official pandas Documentation.html	0.1 KB
14. Sort DataFrame with the .sort_index() Method.mp4	6.9 MB
14. Sort DataFrame with the .sort_index() Method.vtt	3.7 KB
14.1 Official pandas Documentation.html	0.1 KB
15. Rank Values with the .rank() Method.mp4	13.8 MB
15. Rank Values with the .rank() Method.vtt	7.7 KB
15.1 Official pandas Documentation.html	0.1 KB
/4. DataFrames II/
1. This Module's Dataset + Memory Optimization.mp4	25.6 MB
1. This Module's Dataset + Memory Optimization.vtt	15.7 KB
2. Filter a DataFrame Based on A Condition.mp4	28.7 MB
2. Filter a DataFrame Based on A Condition.vtt	16.7 KB
3. Filter with More than One Condition (AND - &).mp4	9.8 MB
3. Filter with More than One Condition (AND - &).vtt	6.0 KB
4. Filter with More than One Condition (OR - ).mp4	17.6 MB
4. Filter with More than One Condition (OR - ).vtt	10.9 KB
5. The .isin() Method.mp4	13.1 MB
5. The .isin() Method.vtt	8.6 KB
6. The .isnull() and .notnull() Methods.mp4	12.9 MB
6. The .isnull() and .notnull() Methods.vtt	7.3 KB
7. The .between() Method.mp4	17.6 MB
7. The .between() Method.vtt	9.2 KB
8. The .duplicated() Method.mp4	20.5 MB
8. The .duplicated() Method.vtt	12.3 KB
8.1 Official documentation for the DataFrame.duplicated method.html	0.2 KB
9. The .drop_duplicates() Method.mp4	18.4 MB
9. The .drop_duplicates() Method.vtt	11.2 KB
9.1 Official documentation for the DataFrame.drop_duplicates method.html	0.2 KB
10. The .unique() and .nunique() Methods.mp4	8.6 MB
10. The .unique() and .nunique() Methods.vtt	5.9 KB
/5. DataFrames III/
1. Intro to the DataFrames III Module + Import Dataset.mp4	8.0 MB
1. Intro to the DataFrames III Module + Import Dataset.vtt	4.8 KB
2. The .set_index() and .reset_index() Methods.mp4	13.8 MB
2. The .set_index() and .reset_index() Methods.vtt	6.6 KB
2.1 set_index Documentation.html	0.1 KB
2.2 reset_index Documentation.html	0.1 KB
3. Retrieve Rows by Index Label with .loc[].mp4	27.1 MB
3. Retrieve Rows by Index Label with .loc[].vtt	13.0 KB
3.1 loc[] Documentation.html	0.1 KB
4. Retrieve Rows by Index Position with .iloc[].mp4	14.0 MB
4. Retrieve Rows by Index Position with .iloc[].vtt	7.8 KB
5. The Catch-All .ix[] Method.mp4	19.5 MB
5. The Catch-All .ix[] Method.vtt	12.2 KB
6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.mp4	13.0 MB
6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.vtt	7.9 KB
7. Set New Values for a Specific Cell or Row.mp4	9.3 MB
7. Set New Values for a Specific Cell or Row.vtt	5.3 KB
8. Set Multiple Values in DataFrame.mp4	21.6 MB
8. Set Multiple Values in DataFrame.vtt	13.1 KB
9. Rename Index Labels or Columns in a DataFrame.mp4	14.1 MB
9. Rename Index Labels or Columns in a DataFrame.vtt	8.7 KB
10. Delete Rows or Columns from a DataFrame.mp4	17.0 MB
10. Delete Rows or Columns from a DataFrame.vtt	9.6 KB
11. Create Random Sample with the .sample() Method.mp4	9.8 MB
11. Create Random Sample with the .sample() Method.vtt	6.2 KB
12. The .nsmallest() and .nlargest() Methods.mp4	12.7 MB
12. The .nsmallest() and .nlargest() Methods.vtt	6.8 KB
13. Filtering with the .where() Method.mp4	14.2 MB
13. Filtering with the .where() Method.vtt	6.6 KB
14. The .query() Method.mp4	20.9 MB
14. The .query() Method.vtt	11.4 KB
15. A Review of the .apply() Method on Single Columns.mp4	12.3 MB
15. A Review of the .apply() Method on Single Columns.vtt	7.3 KB
16. The .apply() Method with Row Values.mp4	14.1 MB
16. The .apply() Method with Row Values.vtt	8.8 KB
17. The .copy() Method.mp4	16.2 MB
17. The .copy() Method.vtt	8.9 KB
/.../6. Working with Text Data/
1. Intro to the Working with Text Data Module.mp4	14.5 MB
1. Intro to the Working with Text Data Module.vtt	8.4 KB
2. Common String Methods - lower, upper, title, and len.mp4	15.6 MB
2. Common String Methods - lower, upper, title, and len.vtt	9.4 KB
3. The .str.replace() Method.mp4	16.8 MB
3. The .str.replace() Method.vtt	10.8 KB
4. Filtering with String Methods.mp4	16.3 MB
4. Filtering with String Methods.vtt	8.9 KB
5. More String Methods - strip, lstrip, and rstrip.mp4	10.0 MB
5. More String Methods - strip, lstrip, and rstrip.vtt	5.7 KB
6. String Methods on Index and Columns.mp4	11.7 MB
6. String Methods on Index and Columns.vtt	6.9 KB
7. Split Strings by Characters with .str.split() Method.mp4	18.4 MB
7. Split Strings by Characters with .str.split() Method.vtt	11.3 KB
8. More Practice with Splits.mp4	12.5 MB
8. More Practice with Splits.vtt	7.7 KB
9. The expand and n Parameters of the .str.split() Method.mp4	16.1 MB
9. The expand and n Parameters of the .str.split() Method.vtt	9.3 KB
/7. MultiIndex/
1. Intro to the MultiIndex Module.mp4	8.7 MB
1. Intro to the MultiIndex Module.vtt	6.3 KB
2. Create a MultiIndex with the set_index() Method.mp4	22.1 MB
2. Create a MultiIndex with the set_index() Method.vtt	11.8 KB
3. The .get_level_values() Method.mp4	17.3 MB
3. The .get_level_values() Method.vtt	11.6 KB
4. The .set_names() Method.mp4	6.4 MB
4. The .set_names() Method.vtt	4.3 KB
5. The sort_index() Method.mp4	10.8 MB
5. The sort_index() Method.vtt	7.3 KB
6. Extract Rows from a MultiIndex DataFrame.mp4	18.2 MB
6. Extract Rows from a MultiIndex DataFrame.vtt	10.6 KB
7. The .transpose() Method and MultiIndex on Column Level.mp4	12.5 MB
7. The .transpose() Method and MultiIndex on Column Level.vtt	7.2 KB
8. The .swaplevel() Method.mp4	5.4 MB
8. The .swaplevel() Method.vtt	3.2 KB
9. The .stack() Method.mp4	13.8 MB
9. The .stack() Method.vtt	8.7 KB
10. The .unstack() Method, Part 1.mp4	8.9 MB
10. The .unstack() Method, Part 1.vtt	5.2 KB
11. The .unstack() Method, Part 2.mp4	15.2 MB
11. The .unstack() Method, Part 2.vtt	8.4 KB
12. The .unstack() Method, Part 3.mp4	12.5 MB
12. The .unstack() Method, Part 3.vtt	7.2 KB
13. The .pivot() Method.mp4	12.7 MB
13. The .pivot() Method.vtt	9.9 KB
14. The .pivot_table() Method.mp4	23.2 MB
14. The .pivot_table() Method.vtt	14.8 KB
15. The pd.melt() Method.mp4	18.1 MB
15. The pd.melt() Method.vtt	8.2 KB
/8. GroupBy/
1. Intro to the Groupby Module.mp4	15.0 MB
1. Intro to the Groupby Module.vtt	11.1 KB
2. First Operations with groupby Object.mp4	24.2 MB
2. First Operations with groupby Object.vtt	12.6 KB
3. Retrieve A Group with the .get_group() Method.mp4	10.6 MB
3. Retrieve A Group with the .get_group() Method.vtt	4.9 KB
4. Methods on the Groupby Object and DataFrame Columns.mp4	21.5 MB
4. Methods on the Groupby Object and DataFrame Columns.vtt	11.5 KB
5. Grouping by Multiple Columns.mp4	10.8 MB
5. Grouping by Multiple Columns.vtt	6.1 KB
6. The .agg() Method.mp4	13.8 MB
6. The .agg() Method.vtt	8.1 KB
7. Iterating through Groups.mp4	22.4 MB
7. Iterating through Groups.vtt	11.5 KB
ReadMe.txt	0.5 KB
Visit Coursedrive.org.url	0.1 KB
/.../9. Merging, Joining, and Concatenating/
1. Intro to the Merging, Joining, and Concatenating Module.mp4	12.0 MB
1. Intro to the Merging, Joining, and Concatenating Module.vtt	8.1 KB
2. The pd.concat() Method, Part 1.mp4	13.2 MB
2. The pd.concat() Method, Part 1.vtt	7.8 KB
3. The pd.concat() Method, Part 2.mp4	13.9 MB
3. The pd.concat() Method, Part 2.vtt	8.9 KB
4. The .append() Method on a DataFrame.mp4	5.4 MB
4. The .append() Method on a DataFrame.vtt	2.9 KB
5. Inner Joins, Part 1.mp4	18.8 MB
5. Inner Joins, Part 1.vtt	13.1 KB
6. Inner Joins, Part 2.mp4	18.6 MB
6. Inner Joins, Part 2.vtt	12.0 KB
7. Outer Joins.mp4	27.2 MB
7. Outer Joins.vtt	16.0 KB
8. Left Joins.mp4	22.0 MB
8. Left Joins.vtt	12.2 KB
9. The left_on and right_on Parameters.mp4	21.2 MB
9. The left_on and right_on Parameters.vtt	12.0 KB
10. Merging by Indexes with the left_index and right_index Parameters.mp4	23.8 MB
10. Merging by Indexes with the left_index and right_index Parameters.vtt	13.8 KB
11. The .join() Method.mp4	6.6 MB
11. The .join() Method.vtt	4.1 KB
12. The pd.merge() Method.mp4	7.2 MB
12. The pd.merge() Method.vtt	4.3 KB
/.../10. Working with Dates and Times/
1. Intro to the Working with Dates and Times Module.mp4	6.6 MB
1. Intro to the Working with Dates and Times Module.vtt	5.6 KB
2. Review of Python's datetime Module.mp4	17.5 MB
2. Review of Python's datetime Module.vtt	11.9 KB
3. The pandas Timestamp Object.mp4	13.4 MB
3. The pandas Timestamp Object.vtt	9.1 KB
4. The pandas DateTimeIndex Object.mp4	10.1 MB
4. The pandas DateTimeIndex Object.vtt	6.5 KB
5. The pd.to_datetime() Method.mp4	24.0 MB
5. The pd.to_datetime() Method.vtt	14.4 KB
6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4	20.7 MB
6. Create Range of Dates with the pd.date_range() Method, Part 1.vtt	15.2 KB
7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4	19.5 MB
7. Create Range of Dates with the pd.date_range() Method, Part 2.vtt	11.4 KB
8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4	17.1 MB
8. Create Range of Dates with the pd.date_range() Method, Part 3.vtt	9.6 KB
9. The .dt Accessor.mp4	14.3 MB
9. The .dt Accessor.vtt	9.6 KB
10. Install pandas-datareader Library.mp4	6.2 MB
10. Install pandas-datareader Library.vtt	3.2 KB
11. Import Financial Data Set with pandas_datareader Library.mp4	26.7 MB
11. Import Financial Data Set with pandas_datareader Library.vtt	14.6 KB
12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4	19.2 MB
12. Selecting Rows from a DataFrame with a DateTimeIndex.vtt	10.1 KB
13. Timestamp Object Attributes.mp4	20.5 MB
13. Timestamp Object Attributes.vtt	9.6 KB
14. The .truncate() Method.mp4	9.5 MB
14. The .truncate() Method.vtt	3.8 KB
15. pd.DateOffset Objects.mp4	26.8 MB
15. pd.DateOffset Objects.vtt	16.4 KB
16. More Fun with pd.DateOffset Objects.mp4	33.5 MB
16. More Fun with pd.DateOffset Objects.vtt	19.0 KB
17. The pandas Timedelta Object.mp4	16.2 MB
17. The pandas Timedelta Object.vtt	10.9 KB
18. Timedeltas in a Dataset.mp4	20.5 MB
18. Timedeltas in a Dataset.vtt	13.0 KB
/11. Panels/
1. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4	14.3 MB
1. Intro to the Module + Fetch Panel Dataset from Google Finance.vtt	10.8 KB
2. The Axes of a Panel Object.mp4	17.1 MB
2. The Axes of a Panel Object.vtt	11.0 KB
3. Panel Attributes.mp4	11.0 MB
3. Panel Attributes.vtt	6.8 KB
4. Use Bracket Notation to Extract a DataFrame from a Panel.mp4	8.7 MB
4. Use Bracket Notation to Extract a DataFrame from a Panel.vtt	5.7 KB
5. Extracting with the .loc, .iloc, and .ix Methods.mp4	14.2 MB
5. Extracting with the .loc, .iloc, and .ix Methods.vtt	9.2 KB
6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4	9.1 MB
6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).vtt	5.5 KB
7. The .major_xs() Method.mp4	12.7 MB
7. The .major_xs() Method.vtt	7.7 KB
8. The .minor_xs() Method.mp4	14.3 MB
8. The .minor_xs() Method.vtt	8.6 KB
9. Transpose a Panel with the .transpose() Method.mp4	16.5 MB
9. Transpose a Panel with the .transpose() Method.vtt	10.7 KB
10. The .swapaxes() Method.mp4	10.2 MB
10. The .swapaxes() Method.vtt	5.7 KB
11. A Review of the Panels Module.html	0.1 KB
/.../12. Input and Output/
1. Intro to the Input and Output Module.mp4	2.9 MB
1. Intro to the Input and Output Module.vtt	2.3 KB
2. Feed pd.read_csv() Method a URL Argument.mp4	8.0 MB
2. Feed pd.read_csv() Method a URL Argument.vtt	5.5 KB
3. Quick Object Conversions.mp4	11.9 MB
3. Quick Object Conversions.vtt	7.0 KB
4. Export DataFrame to CSV File with the .to_csv() Method.mp4	11.9 MB
4. Export DataFrame to CSV File with the .to_csv() Method.vtt	8.4 KB
5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4	6.3 MB
5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.vtt	3.3 KB
6. Import Excel File into pandas.mp4	20.1 MB
6. Import Excel File into pandas.vtt	13.2 KB
7. Export Excel File.mp4	18.7 MB
7. Export Excel File.vtt	13.1 KB
8. Input and Output.html	0.1 KB
/13. Visualization/
1. Intro to Visualization Module.mp4	7.7 MB
1. Intro to Visualization Module.vtt	6.4 KB
2. The .plot() Method.mp4	19.9 MB
2. The .plot() Method.vtt	13.4 KB
3. Modifying Aesthetics with Templates.mp4	12.7 MB
3. Modifying Aesthetics with Templates.vtt	7.6 KB
4. Bar Graphs.mp4	12.9 MB
4. Bar Graphs.vtt	9.4 KB
5. Pie Charts.mp4	10.4 MB
5. Pie Charts.vtt	7.3 KB
6. Histograms.mp4	12.8 MB
6. Histograms.vtt	8.6 KB
7. Visualization.html	0.1 KB
/.../14. Options and Settings/
1. Introduction to the Options and Settings Module.mp4	3.5 MB
1. Introduction to the Options and Settings Module.vtt	2.5 KB
2. Changing pandas Options with Attributes and Dot Syntax.mp4	20.8 MB
2. Changing pandas Options with Attributes and Dot Syntax.vtt	10.6 KB
3. Changing pandas Options with Methods.mp4	14.6 MB
3. Changing pandas Options with Methods.vtt	9.0 KB
4. The precision Option.mp4	6.4 MB
4. The precision Option.vtt	4.5 KB
/15. Conclusion/
1. Conclusion.mp4	3.1 MB
1. Conclusion.vtt	2.5 KB
ReadMe.txt	0.5 KB
Visit Coursedrive.org.url	0.1 KB
Total files 378