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Udemy Python and ReportLab for Efficient Reporting and Automati

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Uploader: freecoursewb
Source: 1 Logo 1337x
Downloads: 763
Type: Tutorials
Language: English
Category: Other
Size: 866.9 MB
Added: April 26, 2024, 3:36 a.m.
Peers: Seeders: 11, Leechers: 6 (Last updated: 11 months, 1 week ago)
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udp://tracker.cyberia.is:6969/announce (Failed to scrape UDP tracker) 0 0 0
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udp://tracker.torrent.eu.org:451/announce 2 2 19
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Files:
  1. Get Bonus Downloads Here.url 182 bytes
  2. 1. Introduction.mp4 2.2 MB
  3. 1.1 notes.pdf 2.4 MB
  4. 2. Information on Resources.html 1.3 KB
  5. 3. Virtual Environment Setup.mp4 25.1 MB
  6. 4. Installing Python Libraries.mp4 21.9 MB
  7. 4.1 requirements.txt 118 bytes
  8. 01-ReportLab-Groundwork.ipynb 43.2 KB
  9. 02-Updating-the-Report.ipynb 38.7 KB
  10. 03-Automation.ipynb 15.0 KB
  11. READ_ME.txt 1.3 KB
  12. cereal.csv 4.9 KB
  13. americanHFP.csv 165 bytes
  14. generalMills.csv 1.7 KB
  15. kelloggs.csv 1.7 KB
  16. nabisco.csv 556 bytes
  17. post.csv 794 bytes
  18. quakerOats.csv 666 bytes
  19. ralstonPurina.csv 702 bytes
  20. python_logo_icon.png 9.2 KB
  21. notes.pdf 2.4 MB
  22. requirements.txt 118 bytes
  23. 1. Introduction.mp4 5.6 MB
  24. 1.1 01-ReportLab-Groundwork.ipynb 43.2 KB
  25. 2. The Canvas Object of PDFgen.mp4 34.9 MB
  26. 3. ReportLab Anatomy - The Hierarchy of Document Building Blocks.mp4 20.5 MB
  27. 4. Building Documents with PLATYPUS - Create Your Own Page and Document Templates.mp4 51.4 MB
  28. 5. Include Data Visualizations in Your Reports with Figure to Image Conversion.mp4 29.0 MB
  29. 6. Add Tables to Your Report Easily with DataFrame to Table Conversion.mp4 16.8 MB
  30. 7. Styling Your Paragraphs and Tables with Dedicated Style Objects.mp4 32.2 MB
  31. 8. Overview.mp4 12.2 MB
  32. 1. Introduction.mp4 6.8 MB
  33. 10. Improving the Print in the PDF Document.mp4 27.8 MB
  34. 11. Overview.mp4 20.3 MB
  35. 2. The Cereal Dataset.mp4 15.0 MB
  36. 2.1 cereal.csv 4.9 KB
  37. 3. Dataset Import.mp4 19.2 MB
  38. 4. Data Type Management with NumPy and alternatives with PyArrow.mp4 25.0 MB
  39. 5. Identifying and Handling Invalid Observations.mp4 23.0 MB
  40. 6. Equalizing Nutritional Values on the Basis of Weight.mp4 30.9 MB
  41. 7. Extending the Analysis with Nutritional Test.mp4 37.1 MB
  42. 8. Declaring Variable Units.mp4 18.4 MB
  43. 9. Auxiliary Tables.mp4 13.1 MB
  44. 1. Introduction.mp4 2.7 MB
  45. 2. The Matplotlib Figure Object.mp4 3.4 MB
  46. 3. Regular Pyplot Charts and the Pandas Plotting System.mp4 27.9 MB
  47. 4. Exporting Results of Custom Data Visualization Functions.mp4 32.4 MB
  48. 5. Including a Subplot Grid in a Report.mp4 23.1 MB
  49. 6. Various Types of Plots Created with Seaborn - Plot Matrix and Facet Grid Plot.mp4 23.9 MB
  50. 7. Overview.mp4 9.3 MB
  51. 1. Introduction.mp4 6.7 MB
  52. 1.1 02-Updating-the-Report.ipynb 38.7 KB
  53. 2. Introducing Additional Page Templates.mp4 18.6 MB
  54. 3. Updating Flowable Style Objects.mp4 22.9 MB
  55. 4. Reorganizing Data Tables and Paragraphs.mp4 41.0 MB
  56. 5. Handling Multiple Data Visualizations in a Single Document.mp4 14.9 MB
  57. 6. Pre-Defined Layouts with the Help of Container Tables.mp4 32.4 MB
  58. 7. Building the PLATYPUS Story.mp4 47.4 MB
  59. 1. Why You Should Consider Automating the Process.mp4 12.6 MB
  60. 1.1 03-Automation.ipynb 15.0 KB
  61. 1.2 americanHFP.csv 165 bytes
  62. 1.3 generalMills.csv 1.7 KB
  63. 1.4 kelloggs.csv 1.7 KB
  64. 1.5 nabisco.csv 556 bytes
  65. 1.6 post.csv 794 bytes
  66. 1.7 quakerOats.csv 666 bytes
  67. 1.8 ralstonPurina.csv 702 bytes
  68. 2. Building the Automation.mp4 51.6 MB
  69. 3. Farewell.mp4 2.8 MB
  70. Bonus Resources.txt 386 bytes

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