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

• [DesireCourse.Com] Udemy - Data Analysis with Pandas and Python
• 1. Installation and Setup/1. Introduction to the Course.mp4 34 MB
• 1. Installation and Setup/1. Introduction to the Course.vtt 17.2 KB
• 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/10. Windows - Access the Command Prompt and Update Anaconda Libraries.vtt 16.6 KB
• 1. Installation and Setup/11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 15.5 MB
• 1. Installation and Setup/11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.vtt 13.7 KB
• 1. Installation and Setup/12. Intro to the Jupyter Notebook Interface.mp4 9.3 MB
• 1. Installation and Setup/12. Intro to the Jupyter Notebook Interface.vtt 7.9 KB
• 1. Installation and Setup/13. Cell Types and Cell Modes.mp4 11.7 MB
• 1. Installation and Setup/13. Cell Types and Cell Modes.vtt 11 KB
• 1. Installation and Setup/14. Code Cell Execution.mp4 8.2 MB
• 1. Installation and Setup/14. Code Cell Execution.vtt 7.2 KB
• 1. Installation and Setup/15. Popular Keyboard Shortcuts.mp4 6.3 MB
• 1. Installation and Setup/15. Popular Keyboard Shortcuts.vtt 4.8 KB
• 1. Installation and Setup/16. Import Libraries into Jupyter Notebook.mp4 11.5 MB
• 1. Installation and Setup/16. Import Libraries into Jupyter Notebook.vtt 11.4 KB
• 1. Installation and Setup/17. Python Crash Course, Part 1 - Data Types and Variables.mp4 12 MB
• 1. Installation and Setup/17. Python Crash Course, Part 1 - Data Types and Variables.vtt 10.6 KB
• 1. Installation and Setup/18. Python Crash Course, Part 2 - Lists.mp4 9 MB
• 1. Installation and Setup/18. Python Crash Course, Part 2 - Lists.vtt 7.3 KB
• 1. Installation and Setup/19. Python Crash Course, Part 3 - Dictionaries.mp4 7.2 MB
• 1. Installation and Setup/19. Python Crash Course, Part 3 - Dictionaries.vtt 6 KB
• 1. Installation and Setup/2. Completed Course Files.html 782 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/20. Python Crash Course, Part 4 - Operators.vtt 6.2 KB
• 1. Installation and Setup/21. Python Crash Course, Part 5 - Functions.mp4 10.1 MB
• 1. Installation and Setup/21. Python Crash Course, Part 5 - Functions.vtt 9 KB
• 1. Installation and Setup/3. Mac OS - Download the Anaconda Distribution.mp4 7.9 MB
• 1. Installation and Setup/3. Mac OS - Download the Anaconda Distribution.vtt 4.9 KB
• 1. Installation and Setup/4. Mac OS - Install Anaconda Distribution.mp4 18.1 MB
• 1. Installation and Setup/4. Mac OS - Install Anaconda Distribution.vtt 8.2 KB
• 1. Installation and Setup/5. Mac OS - Access the Terminal.mp4 6.4 MB
• 1. Installation and Setup/5. Mac OS - Access the Terminal.vtt 2.7 KB
• 1. Installation and Setup/6. Mac OS - Update Anaconda Libraries.mp4 35.3 MB
• 1. Installation and Setup/6. Mac OS - Update Anaconda Libraries.vtt 16.3 KB
• 1. Installation and Setup/7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp4 22.2 MB
• 1. Installation and Setup/7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.vtt 16.1 KB
• 1. Installation and Setup/8. Windows - Download the Anaconda Distribution.mp4 7.6 MB
• 1. Installation and Setup/8. Windows - Download the Anaconda Distribution.vtt 5.8 KB
• 1. Installation and Setup/9. Windows - Install Anaconda Distribution.mp4 15.2 MB
• 1. Installation and Setup/9. Windows - Install Anaconda Distribution.vtt 5.8 KB
• 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/1. Intro to the Working with Dates and Times Module.vtt 5.5 KB
• 10. Working with Dates and Times/10. Install pandas-datareader Library.mp4 5.9 MB
• 10. Working with Dates and Times/10. Install pandas-datareader Library.vtt 3.3 KB
• 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/11. Import Financial Data Set with pandas_datareader Library.vtt 15.5 KB
• 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/12. Selecting Rows from a DataFrame with a DateTimeIndex.vtt 9.9 KB
• 10. Working with Dates and Times/13. Timestamp Object Attributes.mp4 19.6 MB
• 10. Working with Dates and Times/13. Timestamp Object Attributes.vtt 9.4 KB
• 10. Working with Dates and Times/14. The .truncate() Method.mp4 9 MB
• 10. Working with Dates and Times/14. The .truncate() Method.vtt 3.9 KB
• 10. Working with Dates and Times/15. pd.DateOffset Objects.mp4 25.6 MB
• 10. Working with Dates and Times/15. pd.DateOffset Objects.vtt 17 KB
• 10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.mp4 31.9 MB
• 10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.vtt 19.5 KB
• 10. Working with Dates and Times/17. The pandas Timedelta Object.mp4 15.4 MB
• 10. Working with Dates and Times/17. The pandas Timedelta Object.vtt 11.6 KB
• 10. Working with Dates and Times/18. Timedeltas in a Dataset.mp4 19.6 MB
• 10. Working with Dates and Times/18. Timedeltas in a Dataset.vtt 13.4 KB
• 10. Working with Dates and Times/2. Review of Python's datetime Module.mp4 16.7 MB
• 10. Working with Dates and Times/2. Review of Python's datetime Module.vtt 11.6 KB
• 10. Working with Dates and Times/3. The pandas Timestamp Object.mp4 12.8 MB
• 10. Working with Dates and Times/3. The pandas Timestamp Object.vtt 9.7 KB
• 10. Working with Dates and Times/4. The pandas DateTimeIndex Object.mp4 9.7 MB
• 10. Working with Dates and Times/4. The pandas DateTimeIndex Object.vtt 6.7 KB
• 10. Working with Dates and Times/5. The pd.to_datetime() Method.mp4 22.9 MB
• 10. Working with Dates and Times/5. The pd.to_datetime() Method.vtt 14.9 KB
• 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/6. Create Range of Dates with the pd.date_range() Method, Part 1.vtt 15.4 KB
• 10. Working with Dates and Times/7. Create Range of Dates with the pd.date_range() Method, Part 2.mp4 18.6 MB
• 10. Working with Dates and Times/7. Create Range of Dates with the pd.date_range() Method, Part 2.vtt 11.8 KB
• 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/8. Create Range of Dates with the pd.date_range() Method, Part 3.vtt 9.8 KB
• 10. Working with Dates and Times/9. The .dt Accessor.mp4 13.7 MB
• 10. Working with Dates and Times/9. The .dt Accessor.vtt 10 KB
• 11. Panels/1. Intro to the Module + Fetch Panel Dataset from Google Finance.mp4 13.7 MB
• 11. Panels/1. Intro to the Module + Fetch Panel Dataset from Google Finance.vtt 11.1 KB
• 11. Panels/10. The .swapaxes() Method.mp4 9.7 MB
• 11. Panels/10. The .swapaxes() Method.vtt 6.1 KB
• 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/2. The Axes of a Panel Object.vtt 11.2 KB
• 11. Panels/3. Panel Attributes.mp4 10.5 MB
• 11. Panels/3. Panel Attributes.vtt 7.2 KB
• 11. Panels/4. Use Bracket Notation to Extract a DataFrame from a Panel.mp4 8.3 MB
• 11. Panels/4. Use Bracket Notation to Extract a DataFrame from a Panel.vtt 6.1 KB
• 11. Panels/5. Extracting with the .loc, .iloc, and .ix Methods.mp4 13.5 MB
• 11. Panels/5. Extracting with the .loc, .iloc, and .ix Methods.vtt 9.5 KB
• 11. Panels/6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4 8.7 MB
• 11. Panels/6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).vtt 5.9 KB
• 11. Panels/7. The .major_xs() Method.mp4 12.1 MB
• 11. Panels/7. The .major_xs() Method.vtt 8.3 KB
• 11. Panels/8. The .minor_xs() Method.mp4 13.6 MB
• 11. Panels/8. The .minor_xs() Method.vtt 9 KB
• 11. Panels/9. Transpose a Panel with the .transpose() Method.mp4 15.7 MB

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