[Tutorialsplanet.NET] Udemy - Build a Data Analysis Library from Scratch in Python
File List
- 4. DataFrame Construction/1. Check DataFrame Constructor Input Types.mp4 379.2 MB
- 1. Project Genesis/2. Pandas Cub Examples.mp4 253.8 MB
- 2. Environment Setup/4. Installing an IPython Kernel for Jupyter.mp4 243.7 MB
- 9. Other Methods and Operators/6. Arithmetic and Comparison Operators.mp4 206.2 MB
- 6. Subset Selection/10. Create a New Column.mp4 186.6 MB
- 11. Documentation, Strings, and Reading CSVs/2. String-only Methods.mp4 164.9 MB
- 2. Environment Setup/2. Setting up the Development Environment.mp4 157.6 MB
- 3. Getting Ready to Code/3. Manually Test in a Jupyter Notebook.mp4 149.6 MB
- 10. Pivot Tables/1. Pivot Tables Part 1.mp4 147.0 MB
- 1. Project Genesis/1. Project Overview.mp4 145.8 MB
- 4. DataFrame Construction/3. Convert Unicode Arrays to Object.mp4 142.4 MB
- 9. Other Methods and Operators/3. Non-Aggregation Methods.mp4 140.9 MB
- 2. Environment Setup/3. Test-Driven Development.mp4 139.9 MB
- 9. Other Methods and Operators/8. The sample Method.mp4 131.5 MB
- 5. Basic Properties and Visual Representation/5. Visual Notebook Representation.mp4 130.9 MB
- 6. Subset Selection/6. Select Rows as Booleans, Lists, or Slices.mp4 127.8 MB
- 5. Basic Properties and Visual Representation/3. Set New Column Names.mp4 127.4 MB
- 9. Other Methods and Operators/7. The sort_values Method.mp4 123.0 MB
- 5. Basic Properties and Visual Representation/7. The dtypes Property.mp4 114.7 MB
- 6. Subset Selection/5. Select a Single Cell.mp4 114.6 MB
- 5. Basic Properties and Visual Representation/1. Implementing the __len__ Special Method.mp4 114.6 MB
- 3. Getting Ready to Code/2. Importing Pandas Cub.mp4 113.4 MB
- 11. Documentation, Strings, and Reading CSVs/3. The read_csv Function part 1.mp4 111.1 MB
- 3. Getting Ready to Code/1. Inspecting the __init__.py File.mp4 111.1 MB
- 6. Subset Selection/3. Boolean Selection.mp4 110.0 MB
- 6. Subset Selection/4. Check for Simultaneous Selection.mp4 106.0 MB
- 10. Pivot Tables/4. Pivot Tables Part 4.mp4 104.5 MB
- 8. Value Counts/1. The value_counts Method.mp4 103.9 MB
- 6. Subset Selection/8. Column Slices.mp4 99.6 MB
- 9. Other Methods and Operators/4. The diff Method.mp4 96.1 MB
- 7. Basic Methods/2. Generic Aggregation Methods.mp4 95.1 MB
- 10. Pivot Tables/5. Pivot Tables Part 5.mp4 91.9 MB
- 11. Documentation, Strings, and Reading CSVs/1. Automatically Add Documentation.mp4 88.3 MB
- 11. Documentation, Strings, and Reading CSVs/4. The read_csv Function Part 2.mp4 83.8 MB
- 10. Pivot Tables/2. Pivot Tables Part 2.mp4 79.9 MB
- 6. Subset Selection/7. Multiple Column Simultaneous Selection.mp4 76.3 MB
- 4. DataFrame Construction/2. Check Array Lengths.mp4 76.1 MB
- 6. Subset Selection/1. Select a Single Column.mp4 74.4 MB
- 5. Basic Properties and Visual Representation/2. Return Columns as a List.mp4 69.0 MB
- 7. Basic Methods/5. The unique Method.mp4 62.8 MB
- 2. Environment Setup/1. Opening the Project in VS Code.mp4 58.4 MB
- 7. Basic Methods/4. The count Method.mp4 58.2 MB
- 7. Basic Methods/3. The isna Method.mp4 57.7 MB
- 1. Project Genesis/3. Downloading the Material from GitHub.mp4 51.3 MB
- 9. Other Methods and Operators/1. The rename Method.mp4 49.4 MB
- 6. Subset Selection/2. Select Multiple Columns.mp4 47.7 MB
- 10. Pivot Tables/3. Pivot Tables Part 3.mp4 44.4 MB
- 5. Basic Properties and Visual Representation/4. The shape Property.mp4 43.6 MB
- 9. Other Methods and Operators/2. The drop Method.mp4 40.6 MB
- 3. Getting Ready to Code/4. Getting Ready to Start.mp4 37.6 MB
- 8. Value Counts/2. Normalize value_counts.mp4 36.9 MB
- 7. Basic Methods/6. The nunique Method.mp4 36.6 MB
- 5. Basic Properties and Visual Representation/6. The values Property.mp4 36.3 MB
- 7. Basic Methods/1. head and tail Methods.mp4 34.2 MB
- 6. Subset Selection/9. Tab Completion for Columns.mp4 29.2 MB
- 9. Other Methods and Operators/5. The pct_change Method.mp4 27.3 MB
- 11. Documentation, Strings, and Reading CSVs/5. Conclusion.mp4 18.4 MB
- 4. DataFrame Construction/1. Check DataFrame Constructor Input Types.vtt 19.4 KB
- 9. Other Methods and Operators/6. Arithmetic and Comparison Operators.vtt 16.6 KB
- 6. Subset Selection/10. Create a New Column.vtt 14.5 KB
- 1. Project Genesis/2. Pandas Cub Examples.vtt 14.4 KB
- 11. Documentation, Strings, and Reading CSVs/2. String-only Methods.vtt 13.9 KB
- 10. Pivot Tables/1. Pivot Tables Part 1.vtt 13.9 KB
- 2. Environment Setup/4. Installing an IPython Kernel for Jupyter.vtt 13.1 KB
- 9. Other Methods and Operators/3. Non-Aggregation Methods.vtt 12.0 KB
- 5. Basic Properties and Visual Representation/5. Visual Notebook Representation.vtt 10.9 KB
- 11. Documentation, Strings, and Reading CSVs/3. The read_csv Function part 1.vtt 10.6 KB
- 9. Other Methods and Operators/7. The sort_values Method.vtt 10.6 KB
- 6. Subset Selection/6. Select Rows as Booleans, Lists, or Slices.vtt 10.5 KB
- 5. Basic Properties and Visual Representation/3. Set New Column Names.vtt 10.5 KB
- 5. Basic Properties and Visual Representation/7. The dtypes Property.vtt 10.4 KB
- 5. Basic Properties and Visual Representation/1. Implementing the __len__ Special Method.vtt 10.3 KB
- 4. DataFrame Construction/3. Convert Unicode Arrays to Object.vtt 10.3 KB
- 1. Project Genesis/1. Project Overview.vtt 10.1 KB
- 9. Other Methods and Operators/8. The sample Method.vtt 10.1 KB
- 6. Subset Selection/3. Boolean Selection.vtt 9.7 KB
- 7. Basic Methods/2. Generic Aggregation Methods.vtt 9.4 KB
- 9. Other Methods and Operators/4. The diff Method.vtt 9.3 KB
- 6. Subset Selection/5. Select a Single Cell.vtt 9.0 KB
- 8. Value Counts/1. The value_counts Method.vtt 8.8 KB
- 2. Environment Setup/2. Setting up the Development Environment.vtt 8.7 KB
- 10. Pivot Tables/5. Pivot Tables Part 5.vtt 8.6 KB
- 3. Getting Ready to Code/3. Manually Test in a Jupyter Notebook.vtt 8.6 KB
- 10. Pivot Tables/2. Pivot Tables Part 2.vtt 8.4 KB
- 11. Documentation, Strings, and Reading CSVs/1. Automatically Add Documentation.vtt 8.3 KB
- 10. Pivot Tables/4. Pivot Tables Part 4.vtt 8.2 KB
- 11. Documentation, Strings, and Reading CSVs/4. The read_csv Function Part 2.vtt 8.1 KB
- 6. Subset Selection/8. Column Slices.vtt 8.0 KB
- 6. Subset Selection/4. Check for Simultaneous Selection.vtt 7.6 KB
- 2. Environment Setup/3. Test-Driven Development.vtt 7.5 KB
- 5. Basic Properties and Visual Representation/2. Return Columns as a List.vtt 6.6 KB
- 3. Getting Ready to Code/2. Importing Pandas Cub.vtt 6.4 KB
- 6. Subset Selection/7. Multiple Column Simultaneous Selection.vtt 6.2 KB
- 3. Getting Ready to Code/1. Inspecting the __init__.py File.vtt 6.1 KB
- 6. Subset Selection/1. Select a Single Column.vtt 5.9 KB
- 7. Basic Methods/5. The unique Method.vtt 5.9 KB
- 4. DataFrame Construction/2. Check Array Lengths.vtt 5.5 KB
- 11. Documentation, Strings, and Reading CSVs/5. Conclusion.vtt 5.2 KB
- 7. Basic Methods/3. The isna Method.vtt 5.1 KB
- 7. Basic Methods/4. The count Method.vtt 4.9 KB
- 9. Other Methods and Operators/1. The rename Method.vtt 4.4 KB
- 6. Subset Selection/2. Select Multiple Columns.vtt 4.1 KB
- 5. Basic Properties and Visual Representation/4. The shape Property.vtt 4.0 KB
- 10. Pivot Tables/3. Pivot Tables Part 3.vtt 4.0 KB
- 6. Subset Selection/9. Tab Completion for Columns.vtt 3.9 KB
- 9. Other Methods and Operators/2. The drop Method.vtt 3.8 KB
- 8. Value Counts/2. Normalize value_counts.vtt 3.6 KB
- 7. Basic Methods/6. The nunique Method.vtt 3.5 KB
- 7. Basic Methods/1. head and tail Methods.vtt 3.5 KB
- 2. Environment Setup/1. Opening the Project in VS Code.vtt 3.4 KB
- 5. Basic Properties and Visual Representation/6. The values Property.vtt 3.3 KB
- 9. Other Methods and Operators/5. The pct_change Method.vtt 3.1 KB
- 1. Project Genesis/3. Downloading the Material from GitHub.vtt 2.8 KB
- 3. Getting Ready to Code/4. Getting Ready to Start.vtt 2.0 KB
- [Tutorialsplanet.NET].url 128 bytes
- 1. Project Genesis/1.1 GitHub Home Page.html 99 bytes
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