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[Tutorialsplanet NET] Udemy - Data Analysis with Pandas and Python

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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
22C8DF38077A2E49F6E015738AFF41B851B4C697
Source
Unverified
Total Size
2.31 GB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
1. Installation and Setup/1. Introduction to the Course.mp434 MB
1. Installation and Setup/1. Introduction to the Course.vtt17.2 KB
1. Installation and Setup/1.1 pandas.zip.zip684.75 KB
1. Installation and Setup/10. Windows - Access the Command Prompt and Update Anaconda Libraries.mp419.06 MB
1. Installation and Setup/10. Windows - Access the Command Prompt and Update Anaconda Libraries.vtt15.85 KB
1. Installation and Setup/11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp415.47 MB
1. Installation and Setup/11. Windows - Unpack Course Materials + The Startdown and Shutdown Process.vtt13.27 KB
1. Installation and Setup/12. Intro to the Jupyter Notebook Interface.mp49.32 MB
1. Installation and Setup/12. Intro to the Jupyter Notebook Interface.vtt7.49 KB
1. Installation and Setup/13. Cell Types and Cell Modes.mp411.68 MB
1. Installation and Setup/13. Cell Types and Cell Modes.vtt10.2 KB
1. Installation and Setup/14. Code Cell Execution.mp48.23 MB
1. Installation and Setup/14. Code Cell Execution.vtt6.85 KB
1. Installation and Setup/15. Popular Keyboard Shortcuts.mp46.27 MB
1. Installation and Setup/15. Popular Keyboard Shortcuts.vtt4.53 KB
1. Installation and Setup/16. Import Libraries into Jupyter Notebook.mp411.53 MB
1. Installation and Setup/16. Import Libraries into Jupyter Notebook.vtt10.76 KB
1. Installation and Setup/17. Python Crash Course, Part 1 - Data Types and Variables.mp411.99 MB
1. Installation and Setup/17. Python Crash Course, Part 1 - Data Types and Variables.vtt9.96 KB
1. Installation and Setup/18. Python Crash Course, Part 2 - Lists.mp49.01 MB
1. Installation and Setup/18. Python Crash Course, Part 2 - Lists.vtt6.78 KB
1. Installation and Setup/19. Python Crash Course, Part 3 - Dictionaries.mp47.21 MB
1. Installation and Setup/19. Python Crash Course, Part 3 - Dictionaries.vtt5.58 KB
1. Installation and Setup/2. Completed Course Files.html782 B
1. Installation and Setup/2.1 CompletedCourseFiles.zip.zip363.34 KB
1. Installation and Setup/20. Python Crash Course, Part 4 - Operators.mp47.88 MB
1. Installation and Setup/20. Python Crash Course, Part 4 - Operators.vtt6.08 KB
1. Installation and Setup/21. Python Crash Course, Part 5 - Functions.mp410.12 MB
1. Installation and Setup/21. Python Crash Course, Part 5 - Functions.vtt8.5 KB
1. Installation and Setup/3. Mac OS - Download the Anaconda Distribution.mp47.93 MB
1. Installation and Setup/3. Mac OS - Download the Anaconda Distribution.vtt4.55 KB
1. Installation and Setup/4. Mac OS - Install Anaconda Distribution.mp418.06 MB
1. Installation and Setup/4. Mac OS - Install Anaconda Distribution.vtt7.76 KB
1. Installation and Setup/5. Mac OS - Access the Terminal.mp46.36 MB
1. Installation and Setup/5. Mac OS - Access the Terminal.vtt2.54 KB
1. Installation and Setup/6. Mac OS - Update Anaconda Libraries.mp435.27 MB
1. Installation and Setup/6. Mac OS - Update Anaconda Libraries.vtt15.52 KB
1. Installation and Setup/7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.mp422.15 MB
1. Installation and Setup/7. Mac OS - Unpack Course Materials + The Startdown and Shutdown Process.vtt15.74 KB
1. Installation and Setup/8. Windows - Download the Anaconda Distribution.mp47.65 MB
1. Installation and Setup/8. Windows - Download the Anaconda Distribution.vtt5.46 KB
1. Installation and Setup/9. Windows - Install Anaconda Distribution.mp415.2 MB
1. Installation and Setup/9. Windows - Install Anaconda Distribution.vtt5.5 KB
10. Working with Dates and Times/1. Intro to the Working with Dates and Times Module.mp46.32 MB
10. Working with Dates and Times/1. Intro to the Working with Dates and Times Module.vtt5.49 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.vtt3.15 KB
10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.mp425.48 MB
10. Working with Dates and Times/11. Import Financial Data Set with pandas_datareader Library.vtt14.27 KB
10. Working with Dates and Times/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp418.34 MB
10. Working with Dates and Times/12. Selecting Rows from a DataFrame with a DateTimeIndex.vtt9.86 KB
10. Working with Dates and Times/13. Timestamp Object Attributes.mp419.58 MB
10. Working with Dates and Times/13. Timestamp Object Attributes.vtt9.42 KB
10. Working with Dates and Times/14. The .truncate() Method.mp49.05 MB
10. Working with Dates and Times/14. The .truncate() Method.vtt3.7 KB
10. Working with Dates and Times/15. pd.DateOffset Objects.mp425.58 MB
10. Working with Dates and Times/15. pd.DateOffset Objects.vtt16.05 KB
10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.mp431.91 MB
10. Working with Dates and Times/16. More Fun with pd.DateOffset Objects.vtt18.54 KB
10. Working with Dates and Times/17. The pandas Timedelta Object.mp415.41 MB
10. Working with Dates and Times/17. The pandas Timedelta Object.vtt10.69 KB
10. Working with Dates and Times/18. Timedeltas in a Dataset.mp419.55 MB
10. Working with Dates and Times/18. Timedeltas in a Dataset.vtt12.7 KB
10. Working with Dates and Times/2. Review of Python's datetime Module.mp416.73 MB
10. Working with Dates and Times/2. Review of Python's datetime Module.vtt11.63 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.vtt8.92 KB
10. Working with Dates and Times/4. The pandas DateTimeIndex Object.mp49.66 MB
10. Working with Dates and Times/4. The pandas DateTimeIndex Object.vtt6.37 KB
10. Working with Dates and Times/5. The pd.to_datetime() Method.mp422.88 MB
10. Working with Dates and Times/5. The pd.to_datetime() Method.vtt14.03 KB
10. Working with Dates and Times/6. Create Range of Dates with the pd.date_range() Method, Part 1.mp419.68 MB
10. Working with Dates and Times/6. Create Range of Dates with the pd.date_range() Method, Part 1.vtt14.81 KB
10. Working with Dates and Times/7. Create Range of Dates with the pd.date_range() Method, Part 2.mp418.54 MB
10. Working with Dates and Times/7. Create Range of Dates with the pd.date_range() Method, Part 2.vtt11.15 KB
10. Working with Dates and Times/8. Create Range of Dates with the pd.date_range() Method, Part 3.mp416.33 MB
10. Working with Dates and Times/8. Create Range of Dates with the pd.date_range() Method, Part 3.vtt9.35 KB
10. Working with Dates and Times/9. The .dt Accessor.mp413.68 MB
10. Working with Dates and Times/9. The .dt Accessor.vtt9.37 KB
11. Panels/1. Intro to the Module + Fetch Panel Dataset from Google Finance.mp413.67 MB
11. Panels/1. Intro to the Module + Fetch Panel Dataset from Google Finance.vtt10.54 KB
11. Panels/10. The .swapaxes() Method.mp49.72 MB
11. Panels/10. The .swapaxes() Method.vtt5.57 KB
11. Panels/11. A Review of the Panels Module.html135 B
11. Panels/2. The Axes of a Panel Object.mp416.31 MB
11. Panels/2. The Axes of a Panel Object.vtt10.71 KB
11. Panels/3. Panel Attributes.mp410.5 MB
11. Panels/3. Panel Attributes.vtt6.68 KB
11. Panels/4. Use Bracket Notation to Extract a DataFrame from a Panel.mp48.26 MB
11. Panels/4. Use Bracket Notation to Extract a DataFrame from a Panel.vtt5.59 KB
11. Panels/5. Extracting with the .loc, .iloc, and .ix Methods.mp413.53 MB
11. Panels/5. Extracting with the .loc, .iloc, and .ix Methods.vtt8.95 KB
11. Panels/6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp48.68 MB
11. Panels/6. Convert Panel to a MultiIndex DataFrame (and Vice Versa).vtt5.36 KB
11. Panels/7. The .major_xs() Method.mp412.12 MB
11. Panels/7. The .major_xs() Method.vtt7.47 KB
11. Panels/8. The .minor_xs() Method.mp413.63 MB
11. Panels/8. The .minor_xs() Method.vtt8.43 KB
11. Panels/9. Transpose a Panel with the .transpose() Method.mp415.73 MB
11. Panels/9. Transpose a Panel with the .transpose() Method.vtt10.43 KB

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