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


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Torrent File Content (196 files)


[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



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