Python Bootcamp for Data Science 2021 Numpy Pandas Seaborn
Torrent Info
| Category | Other |
| Added | Saturday 1st July 2023 04:33:15 PM (3 years ago) |
| Size | 1.9 GB |
| Peers | 2 Peers (2 Seeders and 0 leechers) update |
| Downloaded | 0 times |
| Uploader | tutsnode Thank You (0) Report Torrent 00/0 |
| Comments | None |
| Uploader Comments | None |
| Tags | English |
| Seeders | 2 |
| Leechers | 0 |
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| Filename | Size |
|---|---|
| 5. Housing Dataset Analysis -Part Five.mp4 | 40.0 MB |
| TutsNode.com.txt | 63 bytes |
| 2. List.srt | 9.2 KB |
| 5. Housing Dataset Analysis -Part Five.srt | 8.7 KB |
| [TGx]Downloaded from torrentgalaxy.to .txt | 585 bytes |
| 5. Short Quiz.html | 213 bytes |
| 0 | 179 bytes |
| 2. How to Download Course Notebooks.mp4 | 38.1 MB |
| 2.1 How to download course notebooks.pdf | 140.2 KB |
| 1. Merging Datasets on Keys (common columns).srt | 8.2 KB |
| 2. Dataframe in Pandas.srt | 7.7 KB |
| 7. Adding Annotations and Drawings on a Plot.srt | 7.6 KB |
| 2. Creating Ndarrays.srt | 7.4 KB |
| 3. Basics of Time Series.srt | 7.4 KB |
| 3. Concatenating Along an Axis.srt | 7.2 KB |
| 2. Tour In Basics of Jupyter Notebooks.srt | 7.0 KB |
| 8. Rolling and Moving Windows.srt | 6.7 KB |
| 2. Creating Figures and Subplots.srt | 6.7 KB |
| 10. Mathematical and Statistical Methods.srt | 6.6 KB |
| 5. Shifting Data Through Time (Lagging and Leading).srt | 6.6 KB |
| 1. Hierarchical Indexing.srt | 6.5 KB |
| 3. Reshaping by Pivoting (Long to Wide).srt | 6.4 KB |
| 14. Factor Plots for Categorical Data.srt | 6.4 KB |
| 4. Housing Dataset Analysis -Part Four.srt | 6.2 KB |
| 2. How to Download Course Notebooks.srt | 6.2 KB |
| 1. Creating and Calling Functions.srt | 6.2 KB |
| 6. Indexing, Slicing and Filtering.srt | 6.1 KB |
| 7. Boolean Indexing.srt | 6.1 KB |
| 1. Running Jupyter Notebook.srt | 5.9 KB |
| 3. Overview of Course Curriculum.srt | 5.9 KB |
| 1. Series in Pandas.srt | 5.9 KB |
| 2. Reshaping by Melting (Wide to Long ).srt | 5.9 KB |
| 4. Set.srt | 2.3 KB |
| 1. Reading Data in Text Format-Part1.srt | 5.8 KB |
| 6. Handling Time Zone.srt | 5.7 KB |
| 11. Bar Plots with Seaborn.srt | 5.6 KB |
| 1. Reshaping by Stacking and Unstacking.srt | 5.6 KB |
| 2. Returning Multiple Values.srt | 2.3 KB |
| 7. Resampling and Frequency Conversion.srt | 5.5 KB |
| 13. Scatter Plots and Pair Plots.srt | 5.4 KB |
| 4. Short Quiz.html | 213 bytes |
| 2. Converting Between String and Datetime.srt | 5.3 KB |
| 1. What Is NumPy Arrays (Ndarrays).srt | 2.9 KB |
| 3. Cloud Environment Google Colab Jupyter Notebooks.srt | 5.3 KB |
| 12. Histograms and Density Plots.srt | 5.1 KB |
| 7. Arithmetic with Dataframe.srt | 5.0 KB |
| 1. Tuple.srt | 5.0 KB |
| 4. Indexing with Columns in Dataframe.srt | 5.0 KB |
| 6. Adding Texts and Arrows on a Plot.srt | 4.9 KB |
| 3. Data Types for Ndarrays.srt | 4.9 KB |
| 4. Customizing Ticks and Labels.srt | 4.9 KB |
| 7. Filtering Outliers.srt | 4.9 KB |
| 10. String Object Methods.srt | 4.8 KB |
| 9. Line Plots with Dataframe.srt | 4.8 KB |
| 6. Indexing and Slicing-Part two.srt | 4.7 KB |
| 9. Descriptive Statistics with Dataframe.srt | 4.7 KB |
| 4. Generating Date Ranges.srt | 4.6 KB |
| 1. Course Introduction.srt | 4.5 KB |
| 9. Transposing Arrays.srt | 2.0 KB |
| 3. Housing Dataset Analysis -Part Three.srt | 4.5 KB |
| 13. Short Quiz.html | 213 bytes |
| 1 | 50 bytes |
| 1. Merging Datasets on Keys (common columns).mp4 | 36.9 MB |
| 4. Getting Help in Jupyter Notebook.srt | 4.5 KB |
| 3. Filling in Missing Data.srt | 4.5 KB |
| 1. Date and time Data types.srt | 4.5 KB |
| 5. Adding Legends.srt | 4.4 KB |
| 8. Sorting Series and Dataframe.srt | 4.4 KB |
| 2. Filtering out Missing Data.srt | 4.3 KB |
| 2. Reading Data in Text Format-Part2.srt | 4.3 KB |
| 8. Fancy Indexing.srt | 4.3 KB |
| 3. Writing Data in Text Format.srt | 4.2 KB |
| 10. Bar Plots with Dataframes.srt | 4.2 KB |
| 4. Reindexing in Series and DataFrames.srt | 3.0 KB |
| 1. Housing Dataset Analysis -Part One.srt | 4.2 KB |
| 2. Housing Dataset Analysis -Part Two.srt | 4.2 KB |
| 5. Magic Commands.srt | 4.2 KB |
| 1. Decide Which Python Environment to Use.srt | 4.2 KB |
| 2. Local environment Installing Anaconda.srt | 4.2 KB |
| 5. Indexing and Slicing-Part One.srt | 4.2 KB |
| 3. Summary Statistics by Level.srt | 4.1 KB |
| 8. Shuffling and Random Sampling.srt | 4.1 KB |
| 10. Correlation and Covariance.srt | 4.1 KB |
| 3. Cell Types in Jupyter Notebook.srt | 4.1 KB |
| 3. Changing Colors, Markers and Linestyle.srt | 4.0 KB |
| 3. Index Objects.srt | 4.0 KB |
| 11. Short Quiz.html | 213 bytes |
| 9. Dummy Variables.srt | 3.9 KB |
| 8. Saving Plots to a File.srt | 3.9 KB |
| 3. Lambda Functions.srt | 3.8 KB |
| 5. Replacing Values.srt | 3.5 KB |
| 11. Sorting Arrays.srt | 3.5 KB |
| 5. Short Quiz.html | 213 bytes |
| 11. Short Quiz.html | 213 bytes |
| 4. Reading Microsoft Excel Files.srt | 2.4 KB |
| 1. Handling Missing Data.srt | 3.4 KB |
| 3. Dictionary.srt | 3.3 KB |
| 5. Deleting Rows and Columns.srt | 3.2 KB |
| 12. File Input and Output with Arrays.srt | 3.2 KB |
| 1. Introducing Matplotlib Library.srt | 3.2 KB |
| 4. Arithmetic with NumPy Arrays.srt | 3.1 KB |
| 2. Merging Datasets on Index.srt | 3.1 KB |
| 2. Reordering and Sorting Index Levels.srt | 3.0 KB |
| 4. Removing Duplicate Entries.srt | 2.7 KB |
| 6. Renaming columns and Index Labels.srt | 2.8 KB |
| 5. Short Quiz.html | 213 bytes |
| 4. Short Quiz.html | 213 bytes |
| 4. Short Quiz.html | 213 bytes |
| 15. Short Quiz.html | 213 bytes |
| 9. Short Quiz.html | 213 bytes |
| 2 | 478.1 KB |
| 2. List.mp4 | 36.4 MB |
| 3 | 133.6 KB |
| 13. Scatter Plots and Pair Plots.mp4 | 35.8 MB |
| 4 | 225.7 KB |
| 10. Mathematical and Statistical Methods.mp4 | 35.4 MB |
| 5 | 113.0 KB |
| 2. Dataframe in Pandas.mp4 | 34.0 MB |
| 6 | 42.1 KB |
| 6. Handling Time Zone.mp4 | 33.5 MB |
| 7 | 41.1 KB |
| 5. Shifting Data Through Time (Lagging and Leading).mp4 | 33.2 MB |
| 8 | 332.8 KB |
| 3. Basics of Time Series.mp4 | 32.8 MB |
| 9 | 216.1 KB |
| 4. Housing Dataset Analysis -Part Four.mp4 | 31.9 MB |
| 10 | 52.6 KB |
| 7. Adding Annotations and Drawings on a Plot.mp4 | 31.5 MB |
| 11 | 489.3 KB |
| 2. Creating Figures and Subplots.mp4 | 31.2 MB |
| 12 | 280.2 KB |
| 1. Hierarchical Indexing.mp4 | 31.2 MB |
| 13 | 284.1 KB |
| 2. Creating Ndarrays.mp4 | 31.2 MB |
| 14 | 284.2 KB |
| 3. Concatenating Along an Axis.mp4 | 30.1 MB |
| 15 | 403.6 KB |
| 8. Rolling and Moving Windows.mp4 | 29.8 MB |
| 16 | 234.8 KB |
| 3. Housing Dataset Analysis -Part Three.mp4 | 29.7 MB |
| 17 | 277.7 KB |
| 4. Generating Date Ranges.mp4 | 29.5 MB |
| 18 | 37.6 KB |
| 3. Reshaping by Pivoting (Long to Wide).mp4 | 28.9 MB |
| 19 | 83.1 KB |
| 1. Running Jupyter Notebook.mp4 | 28.8 MB |
| 20 | 243.3 KB |
| 4. Customizing Ticks and Labels.mp4 | 28.6 MB |
| 21 | 420.8 KB |
| 7. Boolean Indexing.mp4 | 28.2 MB |
| 22 | 347.3 KB |
| 12. Histograms and Density Plots.mp4 | 27.8 MB |
| 23 | 221.5 KB |
| 14. Factor Plots for Categorical Data.mp4 | 27.3 MB |
| 24 | 182.6 KB |
| 3. Overview of Course Curriculum.mp4 | 27.1 MB |
| 25 | 412.9 KB |
| 2. Tour In Basics of Jupyter Notebooks.mp4 | 26.9 MB |
| 26 | 131.2 KB |
| 9. Line Plots with Dataframe.mp4 | 26.7 MB |
| 27 | 286.8 KB |
| 1. Reshaping by Stacking and Unstacking.mp4 | 26.5 MB |
| 28 | 26.7 KB |
| 2. Converting Between String and Datetime.mp4 | 25.9 MB |
| 29 | 144.8 KB |
| 11. Bar Plots with Seaborn.mp4 | 25.7 MB |
| 30 | 322.3 KB |
| 6. Indexing, Slicing and Filtering.mp4 | 25.3 MB |
| 31 | 172.9 KB |
| 1. Series in Pandas.mp4 | 24.6 MB |
| 32 | 397.3 KB |
| 5. Adding Legends.mp4 | 24.6 MB |
| 33 | 399.5 KB |
| 1. Creating and Calling Functions.mp4 | 23.7 MB |
| 34 | 262.7 KB |
| 6. Adding Texts and Arrows on a Plot.mp4 | 23.4 MB |
| 35 | 56.4 KB |
| 5. Magic Commands.mp4 | 23.4 MB |
| 36 | 126.4 KB |
| 2. Housing Dataset Analysis -Part Two.mp4 | 23.3 MB |
| 37 | 217.4 KB |
| 7. Resampling and Frequency Conversion.mp4 | 23.1 MB |
| 38 | 415.7 KB |
| 4. Indexing with Columns in Dataframe.mp4 | 23.1 MB |
| 39 | 420.0 KB |
| 7. Filtering Outliers.mp4 | 22.4 MB |
| 40 | 59.8 KB |
| 1. Reading Data in Text Format-Part1.mp4 | 22.3 MB |
| 41 | 165.0 KB |
| 7. Arithmetic with Dataframe.mp4 | 22.1 MB |
| 42 | 371.1 KB |
| 3. Changing Colors, Markers and Linestyle.mp4 | 21.9 MB |
| 43 | 63.8 KB |
| 3. Writing Data in Text Format.mp4 | 21.9 MB |
| 44 | 123.9 KB |
| 2. Reading Data in Text Format-Part2.mp4 | 21.6 MB |
| 45 | 359.0 KB |
| 3. Filling in Missing Data.mp4 | 21.3 MB |
| 46 | 227.9 KB |
| 11. Sorting Arrays.mp4 | 21.2 MB |
| 47 | 301.2 KB |
| 8. Shuffling and Random Sampling.mp4 | 20.9 MB |
| 48 | 104.4 KB |
| 10. String Object Methods.mp4 | 20.7 MB |
| 49 | 325.6 KB |
| 3. Data Types for Ndarrays.mp4 | 20.6 MB |
| 50 | 390.6 KB |
| 10. Bar Plots with Dataframes.mp4 | 20.6 MB |
| 51 | 415.4 KB |
| 9. Descriptive Statistics with Dataframe.mp4 | 20.3 MB |
| 52 | 183.3 KB |
| 2. Filtering out Missing Data.mp4 | 20.3 MB |
| 53 | 228.2 KB |
| 8. Sorting Series and Dataframe.mp4 | 20.3 MB |
| 54 | 237.7 KB |
| 1. Date and time Data types.mp4 | 20.2 MB |
| 55 | 259.7 KB |
| 3. Cloud Environment Google Colab Jupyter Notebooks.mp4 | 20.2 MB |
| 56 | 352.8 KB |
| 1. Tuple.mp4 | 19.8 MB |
| 57 | 170.9 KB |
| 6. Indexing and Slicing-Part two.mp4 | 19.8 MB |
| 58 | 182.5 KB |
| 3. Index Objects.mp4 | 18.8 MB |
| 59 | 221.5 KB |
| 10. Correlation and Covariance.mp4 | 18.7 MB |
| 60 | 260.2 KB |
| 8. Saving Plots to a File.mp4 | 18.1 MB |
| 61 | 359.3 KB |
| 8. Fancy Indexing.mp4 | 18.0 MB |
| 62 | 11.0 KB |
| 5. Indexing and Slicing-Part One.mp4 | 17.8 MB |
| 63 | 168.8 KB |
| 3. Summary Statistics by Level.mp4 | 17.3 MB |
| 64 | 252.0 KB |
| 9. Dummy Variables.mp4 | 15.7 MB |
| 65 | 266.3 KB |
| 12. File Input and Output with Arrays.mp4 | 15.6 MB |
| 66 | 364.3 KB |
| 4. Getting Help in Jupyter Notebook.mp4 | 15.6 MB |
| 67 | 453.5 KB |
| 3. Lambda Functions.mp4 | 15.3 MB |
| 68 | 229.2 KB |
| 3. Cell Types in Jupyter Notebook.mp4 | 15.1 MB |
| 69 | 439.2 KB |
| 2. Merging Datasets on Index.mp4 | 15.0 MB |
| 70 | 494.8 KB |
| 3. Dictionary.mp4 | 14.8 MB |
| 71 | 210.3 KB |
| 2. Reordering and Sorting Index Levels.mp4 | 14.3 MB |
| 72 | 228.4 KB |
| 1. Course Introduction.mp4 | 13.9 MB |
| 73 | 99.5 KB |
| 5. Replacing Values.mp4 | 13.5 MB |
| 74 | 494.0 KB |
| 4. Reindexing in Series and DataFrames.mp4 | 13.4 MB |
| 75 | 100.3 KB |
| 1. Handling Missing Data.mp4 | 13.2 MB |
| 76 | 294.0 KB |
| 4. Arithmetic with NumPy Arrays.mp4 | 12.9 MB |
| 77 | 125.2 KB |
| 4. Removing Duplicate Entries.mp4 | 12.7 MB |
| 78 | 336.9 KB |
| 4. Reading Microsoft Excel Files.mp4 | 12.2 MB |
| 79 | 330.3 KB |
| 1. Decide Which Python Environment to Use.mp4 | 12.0 MB |
| 80 | 17.1 KB |
| 1. What Is NumPy Arrays (Ndarrays).mp4 | 11.5 MB |
| 81 | 470.3 KB |
| 1. Introducing Matplotlib Library.mp4 | 11.5 MB |
| 82 | 22.8 KB |
| 6. Renaming columns and Index Labels.mp4 | 11.2 MB |
| 83 | 315.6 KB |
| 1. Housing Dataset Analysis -Part One.mp4 | 10.8 MB |
| 84 | 239.1 KB |
| 2. Local environment Installing Anaconda.mp4 | 10.4 MB |
| 85 | 56.9 KB |
| 2. Reshaping by Melting (Wide to Long ).mp4 | 9.5 MB |
| 86 | 27.8 KB |
| 2. Returning Multiple Values.mp4 | 9.4 MB |
| 87 | 130.7 KB |
| 9. Transposing Arrays.mp4 | 8.9 MB |
| 88 | 68.7 KB |
| 5. Deleting Rows and Columns.mp4 | 5.4 MB |
| 89 | 98.1 KB |
| 4. Set.mp4 | 4.5 MB |
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