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1. Downloads for this Section.html
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124 B
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1.1 Appendix3_Materials.zip
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656.29 KB
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10. Boolean Arrays and Conditional Filtering.mp4
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18.14 MB
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10. Boolean Arrays and Conditional Filtering.srt
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5.62 KB
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11. Advanced Filtering & Bitwise Operators.mp4
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28.18 MB
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11. Advanced Filtering & Bitwise Operators.srt
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7.24 KB
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12. Determining a Project´s Payback Period with np.where().mp4
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22.54 MB
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12. Determining a Project´s Payback Period with np.where().srt
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5.89 KB
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13. Creating Numpy Arrays from Scratch.mp4
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37.87 MB
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13. Creating Numpy Arrays from Scratch.srt
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6.12 KB
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14. Coding Exercise 7.html
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158 B
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15. How to work with nested Lists.mp4
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18.24 MB
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15. How to work with nested Lists.srt
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5.37 KB
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16. 2-dimensional Numpy Arrays.mp4
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16.13 MB
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16. 2-dimensional Numpy Arrays.srt
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4.63 KB
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17. How to slice 2-dim Numpy Arrays (Part 1).mp4
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28.93 MB
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17. How to slice 2-dim Numpy Arrays (Part 1).srt
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6.72 KB
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18. How to slice 2-dim Numpy Arrays (Part 2).mp4
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8.75 MB
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18. How to slice 2-dim Numpy Arrays (Part 2).srt
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2.43 KB
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19. Recap Changing Elements in a Numpy Array slice.mp4
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16.51 MB
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19. Recap Changing Elements in a Numpy Array slice.srt
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4.4 KB
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2. Modules, Packages and Libraries - No need to reinvent the Wheel.mp4
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32.02 MB
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2. Modules, Packages and Libraries - No need to reinvent the Wheel.srt
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9.01 KB
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20. How to perform row-wise and column-wise Operations.mp4
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22.47 MB
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20. How to perform row-wise and column-wise Operations.srt
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5.54 KB
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21. Coding Exercise 8.html
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158 B
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22. Intro to Tabular Data Pandas.mp4
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18.08 MB
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22. Intro to Tabular Data Pandas.srt
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5.64 KB
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23. Create your very first Pandas DataFrame (from csv).mp4
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62.52 MB
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23. Create your very first Pandas DataFrame (from csv).srt
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10.37 KB
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24. Pandas Display Options and the methods head() & tail().mp4
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40.48 MB
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24. Pandas Display Options and the methods head() & tail().srt
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7.77 KB
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25. First Data Inspection.mp4
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56.02 MB
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25. First Data Inspection.srt
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14.46 KB
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26. Coding Exercise 9.html
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159 B
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27. Selecting Columns.mp4
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26.63 MB
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27. Selecting Columns.srt
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6.54 KB
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28. Selecting one Column with the dot notation.mp4
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8.55 MB
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28. Selecting one Column with the dot notation.srt
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2.75 KB
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29. Zero-based Indexing and Negative Indexing.mp4
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10.18 MB
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29. Zero-based Indexing and Negative Indexing.srt
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3.97 KB
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3. Numpy Arrays.mp4
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35.7 MB
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3. Numpy Arrays.srt
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9.28 KB
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30. Selecting Rows with iloc (position-based indexing).mp4
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65.01 MB
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30. Selecting Rows with iloc (position-based indexing).srt
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11.52 KB
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31. Slicing Rows and Columns with iloc (position-based indexing).mp4
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24.28 MB
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31. Slicing Rows and Columns with iloc (position-based indexing).srt
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5.37 KB
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32. Position-based Indexing Cheat Sheets.html
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440 B
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32.1 pandas_iloc.pdf
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72 KB
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33. Selecting Rows with loc (label-based indexing).mp4
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21.32 MB
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33. Selecting Rows with loc (label-based indexing).srt
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3.87 KB
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34. Slicing Rows and Columns with loc (label-based indexing).mp4
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77.57 MB
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34. Slicing Rows and Columns with loc (label-based indexing).srt
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11.64 KB
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35. Label-based Indexing Cheat Sheets.html
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701 B
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35.1 Pandas_loc.pdf
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67.8 KB
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36. Summary, Best Practices and Outlook.mp4
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42.02 MB
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36. Summary, Best Practices and Outlook.srt
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7.7 KB
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37. Coding Exercise 10.html
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159 B
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38. First Steps with Pandas Series.mp4
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18.99 MB
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38. First Steps with Pandas Series.srt
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4.98 KB
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4. Indexing and Slicing Numpy Arrays.mp4
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13.67 MB
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4. Indexing and Slicing Numpy Arrays.srt
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3.24 KB
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41. The copy() method.mp4
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20.78 MB
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41. The copy() method.srt
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5.27 KB
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42. Sorting of Series and Introduction to the inplace - parameter.mp4
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33.42 MB
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42. Sorting of Series and Introduction to the inplace - parameter.srt
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11.04 KB
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43. First Steps with Pandas Index Objects.mp4
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37.14 MB
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43. First Steps with Pandas Index Objects.srt
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6.83 KB
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44. Changing Row Index with set_index() and reset_index().mp4
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63.07 MB
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44. Changing Row Index with set_index() and reset_index().srt
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11.79 KB
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45. Changing Column Labels.mp4
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17.97 MB
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45. Changing Column Labels.srt
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4.03 KB
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46. Renaming Index & Column Labels with rename().mp4
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27.99 MB
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46. Renaming Index & Column Labels with rename().srt
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4.72 KB
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47. Filtering DataFrames (one Condition).mp4
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44.85 MB
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47. Filtering DataFrames (one Condition).srt
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12.78 KB
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48. Filtering DataFrames by many Conditions (AND).mp4
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21.23 MB
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48. Filtering DataFrames by many Conditions (AND).srt
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5.34 KB
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49. Filtering DataFrames by many Conditions (OR).mp4
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25.79 MB
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49. Filtering DataFrames by many Conditions (OR).srt
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5.7 KB
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5. Vectorized Operations with Numpy Arrays.mp4
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18.73 MB
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5. Vectorized Operations with Numpy Arrays.srt
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4.59 KB
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50. Advanced Filtering with between(), isin() and ~.mp4
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54.43 MB
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50. Advanced Filtering with between(), isin() and ~.srt
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8.98 KB
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51. Intro to NA Values missing Values.mp4
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38.16 MB
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51. Intro to NA Values missing Values.srt
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11.03 KB
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52. Handling NA Values missing Values.mp4
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56.25 MB
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52. Handling NA Values missing Values.srt
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12.95 KB
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53. Exporting DataFrames to csv.mp4
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10.59 MB
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53. Exporting DataFrames to csv.srt
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2.63 KB
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54. Summary Statistics and Accumulations.mp4
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46.93 MB
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54. Summary Statistics and Accumulations.srt
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11.74 KB
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55. Visualization with Matplotlib (Intro).mp4
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59.12 MB
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55. Visualization with Matplotlib (Intro).srt
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10.77 KB
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56. Customization of Plots.mp4
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84.12 MB
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56. Customization of Plots.srt
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14.45 KB
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57. Histogramms (Part 1).mp4
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20.46 MB
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57. Histogramms (Part 1).srt
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5.4 KB
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58. Histogramms (Part 2).mp4
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28.85 MB
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58. Histogramms (Part 2).srt
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7.99 KB
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59. Scatterplots.mp4
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29.46 MB
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59. Scatterplots.srt
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8.34 KB
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6. Changing Elements in Numpy Arrays & Mutability.mp4
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24.52 MB
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6. Changing Elements in Numpy Arrays & Mutability.srt
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6.65 KB
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6.1 Mutability_arrays.pdf
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121.74 KB
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60. First Steps with Seaborn.mp4
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18.25 MB
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60. First Steps with Seaborn.srt
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6.88 KB
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61. Categorical Seaborn Plots.mp4
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70.72 MB
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61. Categorical Seaborn Plots.srt
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16.75 KB
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62. Seaborn Regression Plots.mp4
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66.52 MB
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62. Seaborn Regression Plots.srt
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14.25 KB
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63. Seaborn Heatmaps.mp4
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35.71 MB
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63. Seaborn Heatmaps.srt
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10.32 KB
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64. Removing Columns.mp4
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29.62 MB
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64. Removing Columns.srt
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6.19 KB
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65. Introduction to GroupBy Operations.mp4
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8.09 MB
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65. Introduction to GroupBy Operations.srt
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2.69 KB
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66. Understanding the GroupBy Object.mp4
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39.43 MB
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66. Understanding the GroupBy Object.srt
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10.04 KB
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67. Splitting with many Keys.mp4
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42.24 MB
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67. Splitting with many Keys.srt
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8.3 KB
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68. split-apply-combine.mp4
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40.1 MB
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68. split-apply-combine.srt
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12.17 KB
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7. View vs. copy - potential Pitfalls when slicing Numpy Arrays.mp4
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19.26 MB
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7. View vs. copy - potential Pitfalls when slicing Numpy Arrays.srt
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5.78 KB
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7.1 Slicing_arrays.pdf
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122.52 KB
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8. Numpy Array Methods and Attributes.mp4
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21.98 MB
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8. Numpy Array Methods and Attributes.srt
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6.27 KB
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9. Numpy Universal Functions.mp4
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17.77 MB
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9. Numpy Universal Functions.srt
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4.76 KB
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