[DesireCourse.Net] Udemy - Data Analysis With Pandas And Python

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[DesireCourse.Net] Udemy - Data Analysis with Pandas and Python[DesireCourse.Net] Udemy - Data Analysis with Pandas and Python

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[DesireCourse.Net] Udemy - Data Analysis with Pandas and Python.torrent
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Other
INFOHASH
2b355fa71ed49d356ca026416c4f074f44a86d83
SIZE
2.3 GB in 99 files
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Uploaded on 08-02-2020 by our crawler pet called "Spidey".
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Description

Data Analysis with Pandas and Python

Analyze data quickly and easily with Python's powerful pandas library! All datasets included --- beginners welcome!

For More Courses Visit: https://desirecourse.net

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Files in this torrent

FILENAMESIZE
1. Installation and Setup/1. Introduction to the Course.mp434 MB
1. Installation and Setup/1. Introduction to the Course.srt19.6 KB
1. Installation and Setup/1.1 pandas.zip.zip684.7 KB
1. Installation and Setup/10. Windows - Install Anaconda Distribution.mp415.2 MB
1. Installation and Setup/10. Windows - Install Anaconda Distribution.srt6.2 KB
1. Installation and Setup/11. Windows - Access the Command Prompt and Update Anaconda Libraries.mp419.1 MB
1. Installation and Setup/11. Windows - Access the Command Prompt and Update Anaconda Libraries.srt18 KB
1. Installation and Setup/12. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp415.5 MB
1. Installation and Setup/12. Windows - Unpack Course Materials + The Startdown and Shutdown Process.srt15.1 KB
1. Installation and Setup/13. Intro to the Jupyter Notebook Interface.mp49.3 MB
1. Installation and Setup/13. Intro to the Jupyter Notebook Interface.srt8.4 KB
1. Installation and Setup/14. Cell Types and Cell Modes.mp411.7 MB
1. Installation and Setup/14. Cell Types and Cell Modes.srt11.5 KB
1. Installation and Setup/15. Code Cell Execution.mp48.2 MB
1. Installation and Setup/15. Code Cell Execution.srt7.8 KB
1. Installation and Setup/16. Popular Keyboard Shortcuts.mp46.3 MB
1. Installation and Setup/16. Popular Keyboard Shortcuts.srt5.1 KB
1. Installation and Setup/17. Import Libraries into Jupyter Notebook.mp411.5 MB
1. Installation and Setup/17. Import Libraries into Jupyter Notebook.srt12.2 KB
1. Installation and Setup/18. Python Crash Course, Part 1 - Data Types and Variables.mp412 MB
1. Installation and Setup/18. Python Crash Course, Part 1 - Data Types and Variables.srt11.3 KB
1. Installation and Setup/19. Python Crash Course, Part 2 - Lists.mp49 MB
1. Installation and Setup/19. Python Crash Course, Part 2 - Lists.srt7.7 KB
1. Installation and Setup/2. About Me.mp421.3 MB
1. Installation and Setup/2. About Me.srt1.7 KB
1. Installation and Setup/20. Python Crash Course, Part 3 - Dictionaries.mp47.2 MB
1. Installation and Setup/20. Python Crash Course, Part 3 - Dictionaries.srt6.3 KB
1. Installation and Setup/21. Python Crash Course, Part 4 - Operators.mp47.9 MB
1. Installation and Setup/21. Python Crash Course, Part 4 - Operators.srt7 KB
1. Installation and Setup/22. Python Crash Course, Part 5 - Functions.mp410.1 MB
1. Installation and Setup/22. Python Crash Course, Part 5 - Functions.srt9.6 KB
1. Installation and Setup/3. Completed Course Files.html782 B
1. Installation and Setup/3.1 CompletedCourseFiles.zip.zip363.3 KB
1. Installation and Setup/4. Mac OS - Download the Anaconda Distribution.mp47.9 MB
1. Installation and Setup/4. Mac OS - Download the Anaconda Distribution.srt5.1 KB
1. Installation and Setup/5. Mac OS - Install Anaconda Distribution.mp418.1 MB
1. Installation and Setup/5. Mac OS - Install Anaconda Distribution.srt8.8 KB
1. Installation and Setup/6. Mac OS - Access the Terminal.mp46.4 MB
1. Installation and Setup/6. Mac OS - Access the Terminal.srt2.9 KB
1. Installation and Setup/7. Mac OS - Update Anaconda Libraries.mp435.3 MB
1. Installation and Setup/7. Mac OS - Update Anaconda Libraries.srt17.7 KB
1. Installation and Setup/8. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp422.2 MB
1. Installation and Setup/8. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.srt17.9 KB
1. Installation and Setup/9. Windows - Download the Anaconda Distribution.mp47.6 MB
1. Installation and Setup/9. Windows - Download the Anaconda Distribution.srt6.1 KB
10. Working with Dates and Times/1. Intro to the Working with Dates and Times Module.mp46.3 MB
10. Working with Dates and Times/1. Intro to the Working with Dates and Times Module.srt6.2 KB
10. Working with Dates and Times/10. Install pandas-datareader Library.mp45.9 MB
10. Working with Dates and Times/10. Install pandas-datareader Library.srt3.5 KB
10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.mp425.5 MB
10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.srt16.2 KB
10. Working with Dates and Times/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp418.3 MB
10. Working with Dates and Times/12. Selecting Rows from a DataFrame with a DateTimeIndex.srt11.2 KB
10. Working with Dates and Times/13. Timestamp Object Attributes.mp419.6 MB
10. Working with Dates and Times/13. Timestamp Object Attributes.srt10.6 KB
10. Working with Dates and Times/14. The .truncate() Method.mp49 MB
10. Working with Dates and Times/14. The .truncate() Method.srt4.1 KB
10. Working with Dates and Times/15. pd.DateOffset Objects.mp425.6 MB
10. Working with Dates and Times/15. pd.DateOffset Objects.srt18.4 KB
10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.mp431.9 MB
10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.srt21.1 KB
10. Working with Dates and Times/17. The pandas Timedelta Object.mp415.4 MB
10. Working with Dates and Times/17. The pandas Timedelta Object.srt12.2 KB
10. Working with Dates and Times/18. Timedeltas in a Dataset.mp419.6 MB
10. Working with Dates and Times/18. Timedeltas in a Dataset.srt14.4 KB
10. Working with Dates and Times/2. Review of Python's datetime Module.mp416.7 MB
10. Working with Dates and Times/2. Review of Python's datetime Module.srt13.2 KB
10. Working with Dates and Times/3. The pandas Timestamp Object.mp412.8 MB
10. Working with Dates and Times/3. The pandas Timestamp Object.srt10.2 KB
10. Working with Dates and Times/4. The pandas DateTimeIndex Object.mp49.7 MB
10. Working with Dates and Times/4. The pandas DateTimeIndex Object.srt7.2 KB
10. Working with Dates and Times/5. The pd.to_datetime() Method.mp422.9 MB
10. Working with Dates and Times/5. The pd.to_datetime() Method.srt16 KB
10. Working with Dates and Times/6. Create Range of Dates with the pd.date_range() Method, Part 1.mp419.7 MB
10. Working with Dates and Times/6. Create Range of Dates with the pd.date_range() Method, Part 1.srt16.8 KB
10. Working with Dates and Times/7. Create Range of Dates with the pd.date_range() Method, Part 2.mp418.5 MB
10. Working with Dates and Times/7. Create Range of Dates with the pd.date_range() Method, Part 2.srt12.6 KB
10. Working with Dates and Times/8. Create Range of Dates with the pd.date_range() Method, Part 3.mp416.3 MB
10. Working with Dates and Times/8. Create Range of Dates with the pd.date_range() Method, Part 3.srt10.5 KB
10. Working with Dates and Times/9. The .dt Accessor.mp413.7 MB
10. Working with Dates and Times/9. The .dt Accessor.srt10.6 KB
11. Panels/1. DEPRECATION WARNING.html474 B
11. Panels/10. Transpose a Panel with the .transpose() Method.mp415.7 MB
11. Panels/10. Transpose a Panel with the .transpose() Method.srt11.8 KB
11. Panels/11. The .swapaxes() Method.mp49.7 MB
11. Panels/11. The .swapaxes() Method.srt6.3 KB
11. Panels/12. A Review of the Panels Module.html135 B
11. Panels/2. Intro to the Module + Fetch Panel Dataset from Google Finance.mp413.7 MB
11. Panels/2. Intro to the Module + Fetch Panel Dataset from Google Finance.srt11.9 KB
11. Panels/3. The Axes of a Panel Object.mp416.3 MB
11. Panels/3. The Axes of a Panel Object.srt12.1 KB
11. Panels/4. Panel Attributes.mp410.5 MB
11. Panels/4. Panel Attributes.srt7.5 KB
11. Panels/5. Use Bracket Notation to Extract a DataFrame from a Panel.mp48.3 MB
11. Panels/5. Use Bracket Notation to Extract a DataFrame from a Panel.srt6.3 KB
11. Panels/6. Extracting with the .loc, .iloc, and .ix Methods.mp413.5 MB
11. Panels/6. Extracting with the .loc, .iloc, and .ix Methods.srt10.1 KB
11. Panels/7. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp48.7 MB
11. Panels/7. Convert Panel to a MultiIndex DataFrame (and Vice Versa).srt6 KB

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