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[Volver] Parent Directory - [TXT] 13. How To Download The Course Assignments.srt 11K [VID] 13. How To Download The Course Assignments.mp4 67M [TXT] 13.2 Google Colab.html 95 [TXT] 13.1 Course notebooks - Github.html 108 [TXT] 12. Assignment Pandas Practice.html 2.1K [TXT] 11. Manipulating Data 3.srt 14K [VID] 11. Manipulating Data 3.mp4 91M [TXT] 11.2 Introduction to Pandas Jupyter Notebook (from the videos).html 191 [TXT] 11.1 Introduction to Pandas Jupyter Notebook (with annotations).html 185 [TXT] 10. Manipulating Data 2.srt 14K [VID] 10. Manipulating Data 2.mp4 87M [IMG] 10.1 pandas-anatomy-of-a-dataframe.png 333K [TXT] 9. Manipulating Data.srt 18K [VID] 9. Manipulating Data.mp4 105M [TXT] 9.2 car-sales-missing-data.csv 287 [TXT] 9.1 Jake VanderPlas's Data Manipulation with Pandas.html 146 [TXT] 8. Selecting and Viewing Data with Pandas Part 2.srt 18K [VID] 8. Selecting and Viewing Data with Pandas Part 2.mp4 107M [TXT] 7. Selecting and Viewing Data with Pandas.srt 15K [VID] 7. Selecting and Viewing Data with Pandas.mp4 72M [TXT] 7.1 car-sales.csv 369 [TXT] 6. Describing Data with Pandas.srt 14K [VID] 6. Describing Data with Pandas.mp4 76M [TXT] 5. Data from URLs.html 1.1K [TXT] 4. Series, Data Frames and CSVs.srt 17K [VID] 4. Series, Data Frames and CSVs.mp4 95M [IMG] 4.1 pandas-anatomy-of-a-dataframe.png 333K [VID] 3. Pandas Introduction.mp4 27M [TXT] 3.4 Pandas Documentation.html 106 [TXT] 3.3 Introduction to Pandas Jupyter Notebook (from the upcoming videos).html 191 [TXT] 3.2 10-minutes to pandas (from the pandas documentation).html 132 [TXT] 3.1 Introduction to Pandas Jupyter Notebook (with annotations).html 185 [TXT] 2. Downloading Workbooks and Assignments.html 967 [TXT] 1. Section Overview.srt 3.7K [VID] 1. Section Overview.mp4 11M