Tutorialsplanet NET Udemy - Build a Data Analysis Library from Scratch in Python

1. 1. Project Genesis/1. Project Overview.mp4145.82MB
2. 1. Project Genesis/2. Pandas Cub Examples.mp4253.8MB
3. 1. Project Genesis/3. Downloading the Material from GitHub.mp451.34MB
4. 10. Pivot Tables/1. Pivot Tables Part 1.mp4147.01MB
5. 10. Pivot Tables/2. Pivot Tables Part 2.mp479.89MB
6. 10. Pivot Tables/3. Pivot Tables Part 3.mp444.37MB
7. 10. Pivot Tables/4. Pivot Tables Part 4.mp4104.5MB
8. 10. Pivot Tables/5. Pivot Tables Part 5.mp491.92MB
9. 11. Documentation, Strings, and Reading CSVs/1. Automatically Add Documentation.mp488.3MB
10. 11. Documentation, Strings, and Reading CSVs/2. String-only Methods.mp4164.86MB
11. 11. Documentation, Strings, and Reading CSVs/3. The read_csv Function part 1.mp4111.06MB
12. 11. Documentation, Strings, and Reading CSVs/4. The read_csv Function Part 2.mp483.77MB
13. 11. Documentation, Strings, and Reading CSVs/5. Conclusion.mp418.37MB
14. 2. Environment Setup/1. Opening the Project in VS Code.mp458.42MB
15. 2. Environment Setup/2. Setting up the Development Environment.mp4157.58MB
16. 2. Environment Setup/3. Test-Driven Development.mp4139.86MB
17. 2. Environment Setup/4. Installing an IPython Kernel for Jupyter.mp4243.71MB
18. 3. Getting Ready to Code/1. Inspecting the __init__.py File.mp4111.05MB
19. 3. Getting Ready to Code/2. Importing Pandas Cub.mp4113.35MB
20. 3. Getting Ready to Code/3. Manually Test in a Jupyter Notebook.mp4149.63MB
21. 3. Getting Ready to Code/4. Getting Ready to Start.mp437.58MB
22. 4. DataFrame Construction/1. Check DataFrame Constructor Input Types.mp4379.25MB
23. 4. DataFrame Construction/2. Check Array Lengths.mp476.09MB
24. 4. DataFrame Construction/3. Convert Unicode Arrays to Object.mp4142.41MB
25. 5. Basic Properties and Visual Representation/1. Implementing the __len__ Special Method.mp4114.63MB
26. 5. Basic Properties and Visual Representation/2. Return Columns as a List.mp469.04MB
27. 5. Basic Properties and Visual Representation/3. Set New Column Names.mp4127.36MB
28. 5. Basic Properties and Visual Representation/4. The shape Property.mp443.63MB
29. 5. Basic Properties and Visual Representation/5. Visual Notebook Representation.mp4130.9MB
30. 5. Basic Properties and Visual Representation/6. The values Property.mp436.35MB
31. 5. Basic Properties and Visual Representation/7. The dtypes Property.mp4114.68MB
32. 6. Subset Selection/1. Select a Single Column.mp474.4MB
33. 6. Subset Selection/10. Create a New Column.mp4186.65MB
34. 6. Subset Selection/2. Select Multiple Columns.mp447.7MB
35. 6. Subset Selection/3. Boolean Selection.mp4109.98MB
36. 6. Subset Selection/4. Check for Simultaneous Selection.mp4106.01MB
37. 6. Subset Selection/5. Select a Single Cell.mp4114.65MB
38. 6. Subset Selection/6. Select Rows as Booleans, Lists, or Slices.mp4127.76MB
39. 6. Subset Selection/7. Multiple Column Simultaneous Selection.mp476.33MB
40. 6. Subset Selection/8. Column Slices.mp499.57MB
41. 6. Subset Selection/9. Tab Completion for Columns.mp429.18MB
42. 7. Basic Methods/1. head and tail Methods.mp434.24MB
43. 7. Basic Methods/2. Generic Aggregation Methods.mp495.09MB
44. 7. Basic Methods/3. The isna Method.mp457.65MB
45. 7. Basic Methods/4. The count Method.mp458.16MB
46. 7. Basic Methods/5. The unique Method.mp462.76MB
47. 7. Basic Methods/6. The nunique Method.mp436.62MB
48. 8. Value Counts/1. The value_counts Method.mp4103.93MB
49. 8. Value Counts/2. Normalize value_counts.mp436.9MB
50. 9. Other Methods and Operators/1. The rename Method.mp449.44MB
51. 9. Other Methods and Operators/2. The drop Method.mp440.64MB
52. 9. Other Methods and Operators/3. Non-Aggregation Methods.mp4140.87MB
53. 9. Other Methods and Operators/4. The diff Method.mp496.14MB
54. 9. Other Methods and Operators/5. The pct_change Method.mp427.27MB
55. 9. Other Methods and Operators/6. Arithmetic and Comparison Operators.mp4206.21MB
56. 9. Other Methods and Operators/7. The sort_values Method.mp4123.01MB
57. 9. Other Methods and Operators/8. The sample Method.mp4131.48MB