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Name:	[FreeCourseSite com] Udemy Data Analysis with Pandas and Python
Usenet:	Downloads Anonymously to Unlimited data Access! Get Usenet Free Trial
Hash:	6A8404D24C7097CAF190EE9590A491C99E9BA88D
Category:	Audio Books
Peers:	Seeds: 3 & Leechers: 28
Size:	2.31 GB
Stream:	Watch Full HD Movies @ LimeMovies
Date:	6 February 2018

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Torrent Files Size: 2.31 GB
[FreeCourseSite.com] Udemy - Data Analysis with Pandas and Python 1. Installation and Setup 1. Introduction to the Course.mp4 - 34 MB 1.1 pandas.zip.zip - 684.75 KB 10. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4 - 19.06 MB 11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 - 15.47 MB 12. Intro to the Jupyter Notebook Interface.mp4 - 9.31 MB 13. Cell Types and Cell Modes.mp4 - 11.68 MB 14. Code Cell Execution.mp4 - 8.22 MB 15. Popular Keyboard Shortcuts.mp4 - 6.26 MB 16. Import Libraries into Jupyter Notebook.mp4 - 11.54 MB 17. Python Crash Course, Part 1 - Data Types and Variables.mp4 - 11.98 MB 18. Python Crash Course, Part 2 - Lists.mp4 - 9 MB 19. Python Crash Course, Part 3 - Dictionaries.mp4 - 7.2 MB 2. Completed Course Files.html - 948 bytes 2.1 CompletedCourseFiles.zip.zip - 363.34 KB 20. Python Crash Course, Part 4 - Operators.mp4 - 7.88 MB 21. Python Crash Course, Part 5 - Functions.mp4 - 10.12 MB 3. Mac OS - Download the Anaconda Distribution.mp4 - 7.93 MB 4. Mac OS - Install Anaconda Distribution.mp4 - 18.07 MB 5. Mac OS - Access the Terminal.mp4 - 6.35 MB 6. Mac OS - Update Anaconda Libraries.mp4 - 35.27 MB 7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4 - 22.15 MB 8. Windows - Download the Anaconda Distribution.mp4 - 7.65 MB 9. Windows - Install Anaconda Distribution.mp4 - 15.2 MB 10. Working with Dates and Times 1. Intro to the Working with Dates and Times Module.mp4 - 6.33 MB 10. Install pandas-datareader Library.mp4 - 5.9 MB 11. Import Financial Data Set with pandas_datareader Library.mp4 - 25.48 MB 12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 - 18.34 MB 13. Timestamp Object Attributes.mp4 - 19.57 MB 14. The .truncate() Method.mp4 - 9.04 MB 15. pd.DateOffset Objects.mp4 - 25.58 MB 16. More Fun with pd.DateOffset Objects.mp4 - 31.91 MB 17. The pandas Timedelta Object.mp4 - 15.41 MB 18. Timedeltas in a Dataset.mp4 - 19.55 MB 2. Review of Python's datetime Module.mp4 - 16.74 MB 3. The pandas Timestamp Object.mp4 - 12.81 MB 4. The pandas DateTimeIndex Object.mp4 - 9.65 MB 5. The pd.to_datetime() Method.mp4 - 22.88 MB 6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4 - 19.68 MB 7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4 - 18.54 MB 8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4 - 16.33 MB 9. The .dt Accessor.mp4 - 13.69 MB 11. Panels 1. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4 - 13.68 MB 10. The .swapaxes() Method.mp4 - 9.71 MB 11. A Review of the Panels Module.html - 131 bytes 2. The Axes of a Panel Object.mp4 - 16.31 MB 3. Panel Attributes.mp4 - 10.5 MB 4. Use Bracket Notation to Extract a DataFrame from a Panel.mp4 - 8.25 MB 5. Extracting with the .loc, .iloc, and .ix Methods.mp4 - 13.54 MB 6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4 - 8.69 MB 7. The .major_xs() Method.mp4 - 12.12 MB 8. The .minor_xs() Method.mp4 - 13.62 MB 9. Transpose a Panel with the .transpose() Method.mp4 - 15.73 MB 12. Input and Output 1. Intro to the Input and Output Module.mp4 - 2.81 MB 2. Feed pd.read_csv() Method a URL Argument.mp4 - 7.61 MB 3. Quick Object Conversions.mp4 - 11.36 MB 4. Export DataFrame to CSV File with the .to_csv() Method.mp4 - 10.67 MB 5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4 - 5.98 MB 6. Import Excel File into pandas.mp4 - 19.13 MB 7. Export Excel File.mp4 - 17.8 MB 8. Input and Output.html - 131 bytes 13. Visualization 1. Intro to Visualization Module.mp4 - 7.31 MB 2. The .plot() Method.mp4 - 18.97 MB 3. Modifying Aesthetics with Templates.mp4 - 12.09 MB 4. Bar Graphs.mp4 - 12.27 MB 5. Pie Charts.mp4 - 9.87 MB 6. Histograms.mp4 - 12.17 MB 7. Visualization.html - 131 bytes 14. Options and Settings 1. Introduction to the Options and Settings Module.mp4 - 3.33 MB 2. Changing pandas Options with Attributes and Dot Syntax.mp4 - 19.83 MB 3. Changing pandas Options with Methods.mp4 - 13.92 MB 4. The precision Option.mp4 - 6.1 MB 15. Conclusion 1. Conclusion.mp4 - 2.95 MB 2. Series 1. Create Jupyter Notebook for the Series Module.mp4 - 3.81 MB 10. More Series Attributes.mp4 - 11.66 MB 11. The .sort_values() Method.mp4 - 10.83 MB 11.1 Official pandas Documentation.html - 145 bytes 12. The inplace Parameter.mp4 - 9.39 MB 13. The .sort_index() Method.mp4 - 8.58 MB 13.1 Official pandas Documentation.html - 144 bytes 14. Python's in Keyword.mp4 - 7.3 MB 15. Extract Series Values by Index Position.mp4 - 8.9 MB 16. Extract Series Values by Index Label.mp4 - 13.74 MB 17. The .get() Method on a Series.mp4 - 9.56 MB 18. Math Methods on Series Objects.mp4 - 10.16 MB 19. The .idxmax() and .idxmin() Methods.mp4 - 5.75 MB 2. Create A Series Object from a Python List.mp4 - 18.12 MB 20. The .value_counts() Method.mp4 - 6.73 MB 21. The .apply() Method.mp4 - 12.32 MB 22. The .map() Method.mp4 - 13.09 MB 23. A Review of the Series Module.html - 131 bytes 3. Create A Series Object from a Python Dictionary.mp4 - 5.19 MB 4. Intro to Attributes.mp4 - 12.86 MB 5. Intro to Methods.mp4 - 7.91 MB 6. Parameters and Arguments.mp4 - 18.28 MB 7. Import Series with the .read_csv() Method.mp4 - 21.14 MB 8. The .head() and .tail() Methods.mp4 - 6.47 MB 8.1 Official pandas Documentation.html - 138 bytes 9. Python Built-In Functions.mp4 - 9.87 MB 3. DataFrames I 1. Intro to DataFrames I Module.mp4 - 17.63 MB 10. Fill in Null Values with the .fillna() Method.mp4 - 10.75 MB 10.1 Official pandas Documentation.html - 143 bytes 11. The .astype() Method.mp4 - 23.86 MB 11.1 Official pandas Documentation.html - 143 bytes 12. Sort a DataFrame with the .sort_values() Method, Part I.mp4 - 13.28 MB 12.1 Official pandas Documentation.html - 148 bytes 13. Sort a DataFrame with the .sort_values() Method, Part II.mp4 - 8.83 MB 13.1 Official pandas Documentation.html - 148 bytes 14. Sort DataFrame with the .sort_index() Method.mp4 - 6.56 MB 14.1 Official pandas Documentation.html - 147 bytes 15. Rank Values with the .rank() Method.mp4 - 13.16 MB 15.1 Official pandas Documentation.html - 141 bytes 2. Shared Methods and Attributes between Series and DataFrames.mp4 - 15.62 MB 3. Differences between Shared Methods.mp4 - 13.1 MB 4. Select One Column from a DataFrame.mp4 - 14.87 MB 5. Select Two or More Columns from a DataFrame.mp4 - 9.94 MB 6. Add New Column to DataFrame.mp4 - 17.23 MB 7. Broadcasting Operations.mp4 - 18.23 MB 8. A Review of the .value_counts() Method.mp4 - 8.42 MB 9. Drop Rows with Null Values.mp4 - 19.2 MB 4. DataFrames II 1. This Module's Dataset + Memory Optimization.mp4 - 24.44 MB 10. The .unique() and .nunique() Methods.mp4 - 8.19 MB 2. Filter a DataFrame Based on A Condition.mp4 - 27.4 MB 3. Filter with More than One Condition (AND - &).mp4 - 9.29 MB 4. Filter with More than One Condition (OR - ).mp4 - 16.75 MB 5. The .isin() Method.mp4 - 12.54 MB 6. The .isnull() and .notnull() Methods.mp4 - 12.26 MB 7. The .between() Method.mp4 - 16.76 MB 8. The .duplicated() Method.mp4 - 19.56 MB 9. The .drop_duplicates() Method.mp4 - 17.55 MB 5. DataFrames III 1. Intro to the DataFrames III Module + Import Dataset.mp4 - 7.67 MB 10. Delete Rows or Columns from a DataFrame.mp4 - 16.21 MB 11. Create Random Sample with the .sample() Method.mp4 - 9.33 MB 12. The .nsmallest() and .nlargest() Methods.mp4 - 12.07 MB 13. Filtering with the .where() Method.mp4 - 13.56 MB 14. The .query() Method.mp4 - 19.93 MB 15. A Review of the .apply() Method on Single Columns.mp4 - 11.75 MB 16. The .apply() Method with Row Values.mp4 - 13.41 MB 17. The .copy() Method.mp4 - 15.45 MB 2. The .set_index() and .reset_index() Methods.mp4 - 13.19 MB 2.1 set_index Documentation.html - 147 bytes 2.2 reset_index Documentation.html - 149 bytes 3. Retrieve Rows by Index Label with .loc[].mp4 - 25.87 MB 3.1 loc[] Documentation.html - 141 bytes 4. Retrieve Rows by Index Position with .iloc[].mp4 - 13.31 MB 5. The Catch-All .ix[] Method.mp4 - 18.56 MB 6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.mp4 - 12.36 MB 7. Set New Values for a Specific Cell or Row.mp4 - 8.89 MB 8. Set Multiple Values in DataFrame.mp4 - 20.54 MB 9. Rename Index Labels or Columns in a DataFrame.mp4 - 13.4 MB 6. Working with Text Data 1. Intro to the Working with Text Data Module.mp4 - 13.87 MB

Torrent Files

Size: 2.31 GB

[FreeCourseSite.com] Udemy - Data Analysis with Pandas and Python

1. Installation and Setup

1. Introduction to the Course.mp4 -

34 MB

1.1 pandas.zip.zip -

684.75 KB

10. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4 -

19.06 MB

11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 -

15.47 MB

12. Intro to the Jupyter Notebook Interface.mp4 -

9.31 MB

13. Cell Types and Cell Modes.mp4 -

11.68 MB

14. Code Cell Execution.mp4 -

8.22 MB

15. Popular Keyboard Shortcuts.mp4 -

6.26 MB

16. Import Libraries into Jupyter Notebook.mp4 -

11.54 MB

17. Python Crash Course, Part 1 - Data Types and Variables.mp4 -

11.98 MB

18. Python Crash Course, Part 2 - Lists.mp4 -

9 MB

19. Python Crash Course, Part 3 - Dictionaries.mp4 -

7.2 MB

2. Completed Course Files.html -

948 bytes

2.1 CompletedCourseFiles.zip.zip -

363.34 KB

20. Python Crash Course, Part 4 - Operators.mp4 -

7.88 MB

21. Python Crash Course, Part 5 - Functions.mp4 -

10.12 MB

3. Mac OS - Download the Anaconda Distribution.mp4 -

7.93 MB

4. Mac OS - Install Anaconda Distribution.mp4 -

18.07 MB

5. Mac OS - Access the Terminal.mp4 -

6.35 MB

6. Mac OS - Update Anaconda Libraries.mp4 -

35.27 MB

7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4 -

22.15 MB

8. Windows - Download the Anaconda Distribution.mp4 -

7.65 MB

9. Windows - Install Anaconda Distribution.mp4 -

15.2 MB

10. Working with Dates and Times

1. Intro to the Working with Dates and Times Module.mp4 -

6.33 MB

10. Install pandas-datareader Library.mp4 -

5.9 MB

11. Import Financial Data Set with pandas_datareader Library.mp4 -

25.48 MB

12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 -

18.34 MB

13. Timestamp Object Attributes.mp4 -

19.57 MB

14. The .truncate() Method.mp4 -

9.04 MB

15. pd.DateOffset Objects.mp4 -

25.58 MB

16. More Fun with pd.DateOffset Objects.mp4 -

31.91 MB

17. The pandas Timedelta Object.mp4 -

15.41 MB

18. Timedeltas in a Dataset.mp4 -

19.55 MB

2. Review of Python's datetime Module.mp4 -

16.74 MB

3. The pandas Timestamp Object.mp4 -

12.81 MB

4. The pandas DateTimeIndex Object.mp4 -

9.65 MB

5. The pd.to_datetime() Method.mp4 -

22.88 MB

6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4 -

19.68 MB

7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4 -

18.54 MB

8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4 -

16.33 MB

9. The .dt Accessor.mp4 -

13.69 MB

11. Panels

1. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4 -

13.68 MB

10. The .swapaxes() Method.mp4 -

9.71 MB

11. A Review of the Panels Module.html -

131 bytes

2. The Axes of a Panel Object.mp4 -

16.31 MB

3. Panel Attributes.mp4 -

10.5 MB

4. Use Bracket Notation to Extract a DataFrame from a Panel.mp4 -

8.25 MB

5. Extracting with the .loc, .iloc, and .ix Methods.mp4 -

13.54 MB

6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4 -

8.69 MB

7. The .major_xs() Method.mp4 -

12.12 MB

8. The .minor_xs() Method.mp4 -

13.62 MB

9. Transpose a Panel with the .transpose() Method.mp4 -

15.73 MB

12. Input and Output

1. Intro to the Input and Output Module.mp4 -

2.81 MB

2. Feed pd.read_csv() Method a URL Argument.mp4 -

7.61 MB

3. Quick Object Conversions.mp4 -

11.36 MB

4. Export DataFrame to CSV File with the .to_csv() Method.mp4 -

10.67 MB

5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4 -

5.98 MB

6. Import Excel File into pandas.mp4 -

19.13 MB

7. Export Excel File.mp4 -

17.8 MB

8. Input and Output.html -

131 bytes

13. Visualization

1. Intro to Visualization Module.mp4 -

7.31 MB

2. The .plot() Method.mp4 -

18.97 MB

3. Modifying Aesthetics with Templates.mp4 -

12.09 MB

4. Bar Graphs.mp4 -

12.27 MB

5. Pie Charts.mp4 -

9.87 MB

6. Histograms.mp4 -

12.17 MB

7. Visualization.html -

131 bytes

14. Options and Settings

1. Introduction to the Options and Settings Module.mp4 -

3.33 MB

2. Changing pandas Options with Attributes and Dot Syntax.mp4 -

19.83 MB

3. Changing pandas Options with Methods.mp4 -

13.92 MB

4. The precision Option.mp4 -

6.1 MB

15. Conclusion

1. Conclusion.mp4 -

2.95 MB

2. Series

1. Create Jupyter Notebook for the Series Module.mp4 -

3.81 MB

10. More Series Attributes.mp4 -

11.66 MB

11. The .sort_values() Method.mp4 -

10.83 MB

11.1 Official pandas Documentation.html -

145 bytes

12. The inplace Parameter.mp4 -

9.39 MB

13. The .sort_index() Method.mp4 -

8.58 MB

13.1 Official pandas Documentation.html -

144 bytes

14. Python's in Keyword.mp4 -

7.3 MB

15. Extract Series Values by Index Position.mp4 -

8.9 MB

16. Extract Series Values by Index Label.mp4 -

13.74 MB

17. The .get() Method on a Series.mp4 -

9.56 MB

18. Math Methods on Series Objects.mp4 -

10.16 MB

19. The .idxmax() and .idxmin() Methods.mp4 -

5.75 MB

2. Create A Series Object from a Python List.mp4 -

18.12 MB

20. The .value_counts() Method.mp4 -

6.73 MB

21. The .apply() Method.mp4 -

12.32 MB

22. The .map() Method.mp4 -

13.09 MB

23. A Review of the Series Module.html -

131 bytes

3. Create A Series Object from a Python Dictionary.mp4 -

5.19 MB

4. Intro to Attributes.mp4 -

12.86 MB

5. Intro to Methods.mp4 -

7.91 MB

6. Parameters and Arguments.mp4 -

18.28 MB

7. Import Series with the .read_csv() Method.mp4 -

21.14 MB

8. The .head() and .tail() Methods.mp4 -

6.47 MB

8.1 Official pandas Documentation.html -

138 bytes

9. Python Built-In Functions.mp4 -

9.87 MB

3. DataFrames I

1. Intro to DataFrames I Module.mp4 -

17.63 MB

10. Fill in Null Values with the .fillna() Method.mp4 -

10.75 MB

10.1 Official pandas Documentation.html -

143 bytes

11. The .astype() Method.mp4 -

23.86 MB

11.1 Official pandas Documentation.html -

143 bytes

12. Sort a DataFrame with the .sort_values() Method, Part I.mp4 -

13.28 MB

12.1 Official pandas Documentation.html -

148 bytes

13. Sort a DataFrame with the .sort_values() Method, Part II.mp4 -

8.83 MB

13.1 Official pandas Documentation.html -

148 bytes

14. Sort DataFrame with the .sort_index() Method.mp4 -

6.56 MB

14.1 Official pandas Documentation.html -

147 bytes

15. Rank Values with the .rank() Method.mp4 -

13.16 MB

15.1 Official pandas Documentation.html -

141 bytes

2. Shared Methods and Attributes between Series and DataFrames.mp4 -

15.62 MB

3. Differences between Shared Methods.mp4 -

13.1 MB

4. Select One Column from a DataFrame.mp4 -

14.87 MB

5. Select Two or More Columns from a DataFrame.mp4 -

9.94 MB

6. Add New Column to DataFrame.mp4 -

17.23 MB

7. Broadcasting Operations.mp4 -

18.23 MB

8. A Review of the .value_counts() Method.mp4 -

8.42 MB

9. Drop Rows with Null Values.mp4 -

19.2 MB

4. DataFrames II

1. This Module's Dataset + Memory Optimization.mp4 -

24.44 MB

10. The .unique() and .nunique() Methods.mp4 -

8.19 MB

2. Filter a DataFrame Based on A Condition.mp4 -

27.4 MB

3. Filter with More than One Condition (AND - &).mp4 -

9.29 MB

4. Filter with More than One Condition (OR - ).mp4 -

16.75 MB

5. The .isin() Method.mp4 -

12.54 MB

6. The .isnull() and .notnull() Methods.mp4 -

12.26 MB

7. The .between() Method.mp4 -

16.76 MB

8. The .duplicated() Method.mp4 -

19.56 MB

9. The .drop_duplicates() Method.mp4 -

17.55 MB

5. DataFrames III

1. Intro to the DataFrames III Module + Import Dataset.mp4 -

7.67 MB

10. Delete Rows or Columns from a DataFrame.mp4 -

16.21 MB

11. Create Random Sample with the .sample() Method.mp4 -

9.33 MB

12. The .nsmallest() and .nlargest() Methods.mp4 -

12.07 MB

13. Filtering with the .where() Method.mp4 -

13.56 MB

14. The .query() Method.mp4 -

19.93 MB

15. A Review of the .apply() Method on Single Columns.mp4 -

11.75 MB

16. The .apply() Method with Row Values.mp4 -

13.41 MB

17. The .copy() Method.mp4 -

15.45 MB

2. The .set_index() and .reset_index() Methods.mp4 -

13.19 MB

2.1 set_index Documentation.html -

147 bytes

2.2 reset_index Documentation.html -

149 bytes

3. Retrieve Rows by Index Label with .loc[].mp4 -

25.87 MB

3.1 loc[] Documentation.html -

141 bytes

4. Retrieve Rows by Index Position with .iloc[].mp4 -

13.31 MB

5. The Catch-All .ix[] Method.mp4 -

18.56 MB

6. Second Arguments to .loc[], .iloc[], and .ix[] Methods.mp4 -

12.36 MB

7. Set New Values for a Specific Cell or Row.mp4 -

8.89 MB

8. Set Multiple Values in DataFrame.mp4 -

20.54 MB

9. Rename Index Labels or Columns in a DataFrame.mp4 -

13.4 MB

6. Working with Text Data

1. Intro to the Working with Text Data Module.mp4 -

13.87 MB

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