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TORRENT DETAILS

[FreeCourseSite Com] Udemy - Data Analysis With Pandas And Python

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	eBooks
Infohash	6a8404d24c7097caf190ee9590a491c99e9ba88d
Size:	2.3 GB in 99 files
Release Date(s):	Torrent Release: 06-02-2018 by user
Swarm:	0 Seeds & 2 Peers
Vote:	No votes yet.

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FILE LIST

Filename		Size
	1. Installation and Setup/1. Introduction to the Course.mp4	34 MB
	1. Installation and Setup/1.1 pandas.zip.zip	684.7 KB
	1. Installation and Setup/10. Windows - Access the Command Prompt and Update Anaconda Libraries.mp4	19.1 MB
	1. Installation and Setup/11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4	15.5 MB
	1. Installation and Setup/12. Intro to the Jupyter Notebook Interface.mp4	9.3 MB
	1. Installation and Setup/13. Cell Types and Cell Modes.mp4	11.7 MB
	1. Installation and Setup/14. Code Cell Execution.mp4	8.2 MB
	1. Installation and Setup/15. Popular Keyboard Shortcuts.mp4	6.3 MB
	1. Installation and Setup/16. Import Libraries into Jupyter Notebook.mp4	11.5 MB
	1. Installation and Setup/17. Python Crash Course, Part 1 - Data Types and Variables.mp4	12 MB
	1. Installation and Setup/18. Python Crash Course, Part 2 - Lists.mp4	9 MB
	1. Installation and Setup/19. Python Crash Course, Part 3 - Dictionaries.mp4	7.2 MB
	1. Installation and Setup/2. Completed Course Files.html	948 B
	1. Installation and Setup/2.1 CompletedCourseFiles.zip.zip	363.3 KB
	1. Installation and Setup/20. Python Crash Course, Part 4 - Operators.mp4	7.9 MB
	1. Installation and Setup/21. Python Crash Course, Part 5 - Functions.mp4	10.1 MB
	1. Installation and Setup/3. Mac OS - Download the Anaconda Distribution.mp4	7.9 MB
	1. Installation and Setup/4. Mac OS - Install Anaconda Distribution.mp4	18.1 MB
	1. Installation and Setup/5. Mac OS - Access the Terminal.mp4	6.4 MB
	1. Installation and Setup/6. Mac OS - Update Anaconda Libraries.mp4	35.3 MB
	1. Installation and Setup/7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4	22.2 MB
	1. Installation and Setup/8. Windows - Download the Anaconda Distribution.mp4	7.6 MB
	1. Installation and Setup/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	6.3 MB
	10. Working with Dates and Times/10. Install pandas-datareader Library.mp4	5.9 MB
	10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.mp4	25.5 MB
	10. Working with Dates and Times/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4	18.3 MB
	10. Working with Dates and Times/13. Timestamp Object Attributes.mp4	19.6 MB
	10. Working with Dates and Times/14. The .truncate() Method.mp4	9 MB
	10. Working with Dates and Times/15. pd.DateOffset Objects.mp4	25.6 MB
	10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.mp4	31.9 MB
	10. Working with Dates and Times/17. The pandas Timedelta Object.mp4	15.4 MB
	10. Working with Dates and Times/18. Timedeltas in a Dataset.mp4	19.6 MB
	10. Working with Dates and Times/2. Review of Python's datetime Module.mp4	16.7 MB
	10. Working with Dates and Times/3. The pandas Timestamp Object.mp4	12.8 MB
	10. Working with Dates and Times/4. The pandas DateTimeIndex Object.mp4	9.7 MB
	10. Working with Dates and Times/5. The pd.to_datetime() Method.mp4	22.9 MB
	10. Working with Dates and Times/6. Create Range of Dates with the pd.date_range() Method, Part 1.mp4	19.7 MB
	10. Working with Dates and Times/7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4	18.5 MB
	10. Working with Dates and Times/8. Create Range of Dates with the pd.date_range() Method, Part 3.mp4	16.3 MB
	10. Working with Dates and Times/9. The .dt Accessor.mp4	13.7 MB
	11. Panels/1. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4	13.7 MB
	11. Panels/10. The .swapaxes() Method.mp4	9.7 MB
	11. Panels/11. A Review of the Panels Module.html	131 B
	11. Panels/2. The Axes of a Panel Object.mp4	16.3 MB
	11. Panels/3. Panel Attributes.mp4	10.5 MB
	11. Panels/4. Use Bracket Notation to Extract a DataFrame from a Panel.mp4	8.3 MB
	11. Panels/5. Extracting with the .loc, .iloc, and .ix Methods.mp4	13.5 MB
	11. Panels/6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4	8.7 MB
	11. Panels/7. The .major_xs() Method.mp4	12.1 MB
	11. Panels/8. The .minor_xs() Method.mp4	13.6 MB
	11. Panels/9. Transpose a Panel with the .transpose() Method.mp4	15.7 MB
	12. Input and Output/1. Intro to the Input and Output Module.mp4	2.8 MB
	12. Input and Output/2. Feed pd.read_csv() Method a URL Argument.mp4	7.6 MB
	12. Input and Output/3. Quick Object Conversions.mp4	11.4 MB
	12. Input and Output/4. Export DataFrame to CSV File with the .to_csv() Method.mp4	10.7 MB
	12. Input and Output/5. Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4	6 MB
	12. Input and Output/6. Import Excel File into pandas.mp4	19.1 MB
	12. Input and Output/7. Export Excel File.mp4	17.8 MB
	12. Input and Output/8. Input and Output.html	131 B
	13. Visualization/1. Intro to Visualization Module.mp4	7.3 MB
	13. Visualization/2. The .plot() Method.mp4	19 MB
	13. Visualization/3. Modifying Aesthetics with Templates.mp4	12.1 MB
	13. Visualization/4. Bar Graphs.mp4	12.3 MB
	13. Visualization/5. Pie Charts.mp4	9.9 MB
	13. Visualization/6. Histograms.mp4	12.2 MB
	13. Visualization/7. Visualization.html	131 B
	14. Options and Settings/1. Introduction to the Options and Settings Module.mp4	3.3 MB
	14. Options and Settings/2. Changing pandas Options with Attributes and Dot Syntax.mp4	19.8 MB
	14. Options and Settings/3. Changing pandas Options with Methods.mp4	13.9 MB
	14. Options and Settings/4. The precision Option.mp4	6.1 MB
	15. Conclusion/1. Conclusion.mp4	3 MB
	2. Series/1. Create Jupyter Notebook for the Series Module.mp4	3.8 MB
	2. Series/10. More Series Attributes.mp4	11.7 MB
	2. Series/11. The .sort_values() Method.mp4	10.8 MB
	2. Series/11.1 Official pandas Documentation.html	145 B
	2. Series/12. The inplace Parameter.mp4	9.4 MB
	2. Series/13. The .sort_index() Method.mp4	8.6 MB
	2. Series/13.1 Official pandas Documentation.html	144 B
	2. Series/14. Python's in Keyword.mp4	7.3 MB
	2. Series/15. Extract Series Values by Index Position.mp4	8.9 MB
	2. Series/16. Extract Series Values by Index Label.mp4	13.7 MB
	2. Series/17. The .get() Method on a Series.mp4	9.6 MB
	2. Series/18. Math Methods on Series Objects.mp4	10.2 MB
	2. Series/19. The .idxmax() and .idxmin() Methods.mp4	5.8 MB
	2. Series/2. Create A Series Object from a Python List.mp4	18.1 MB
	2. Series/20. The .value_counts() Method.mp4	6.7 MB
	2. Series/21. The .apply() Method.mp4	12.3 MB
	2. Series/22. The .map() Method.mp4	13.1 MB
	2. Series/23. A Review of the Series Module.html	131 B
	2. Series/3. Create A Series Object from a Python Dictionary.mp4	5.2 MB
	2. Series/4. Intro to Attributes.mp4	12.9 MB
	2. Series/5. Intro to Methods.mp4	7.9 MB
	2. Series/6. Parameters and Arguments.mp4	18.3 MB
	2. Series/7. Import Series with the .read_csv() Method.mp4	21.1 MB
	2. Series/8. The .head() and .tail() Methods.mp4	6.5 MB
	2. Series/8.1 Official pandas Documentation.html	138 B
	2. Series/9. Python Built-In Functions.mp4	9.9 MB
	3. DataFrames I/1. Intro to DataFrames I Module.mp4	17.6 MB

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